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Freelance AI & Predictive Maintenance Expert (Vibration Analysis) We are looking for a specialized Data Scientist or AI Engineer to develop a Predictive Maintenance solution for a critical production line. The project involves analyzing vibration data from a high-capacity main electric motor to identify early signs of mechanical failure and optimize maintenance cycles. Technical Context Data Source: High-frequency vibration data collected via IFM sensors. Dataset: Approximately 300,000 rows of historical records stored in a SQL database. System Focus: Rotating machinery (Main Drive Motor) within an industrial manufacturing environment. Core Goal: Implement an anomaly detection and health-scoring model to prevent unplanned downtime. Key Responsibilities Data Engineering: Extract, ...

Project Overview We are developing an internal AI-driven GC-MS analytical modeling system for flavor formulation reverse engineering. This is not: A chatbot project A basic automation workflow A generic machine learning classification task A web dashboard build This is a scientific inverse modeling and constrained optimization system built around GC-MS analytical data. If you do not have experience with scientific modeling, regression, and constrained optimization, please do not apply. System Objectives We are building a modular Python system that: Parses structured GC-MS peak lists (CSV/Excel, sometimes PDF reports). Performs CAS-based compound normalization and matching. Handles retention time alignment. Applies weighted similarity scoring with marker compound prioritizatio...

Python Developer – GC-MS Data Analysis & Automated Flavor Recipe Generation System Project Overview We are a flavor manufacturing company developing an internal AI-driven GC-MS automation system. The goal of this project is to: Process GC-MS peak data Match peaks with compound libraries Identify possible natural/synthetic sources Detect marker compounds Estimate ingredient combinations Automatically generate optimized trial recipes (normalized to 100%) This is NOT a simple chatbot or automation project. This is a scientific data processing and algorithm development project. Responsibilities Parse GC-MS peak lists (CSV / Excel exports) Implement compound matching logic (CAS-based matching) Normalize peak area percentages Develop similarity scoring algorithms Ident...

Need to scrap videos from a website . If this is something you are good and familiar doing please do respond to this project . I do multiple projects with similar help I need so am looking for a log term relationship so I dont have to keep on posting the same ad. Let me know if you have any questions .

We are seeking a data analyst familiar with AI tools to integrate various data systems, including Snowflake, Looker, Hex, Argo, Airflow, and SQLMesh. The goal is to create a data model ready for natural language queries. The ideal candidate will have experience in data integration and modeling, with a strong understanding of AI tools and their applications in data analysis.

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I need access to well-structured, up-to-date Italian B2C databases that I can plug straight into my targeted marketing campaigns. The more complete the records, the better: contact details are essential, and any layers such as consumer interests or demographic segments will add real value. I’m flexible on industry—the data can come from retail, healthcare, finance, or any other consumer-facing sector so long as the information is current and legally obtained. Preferred deliverable • A single Excel/CSV file is ideal, but I can also work with SQL dumps or CRM-ready exports if that is how you already store the data. If you already have a clean list—or can source one quickly—let’s discuss record counts, sample previews, and pricing. Looking forward to col...

I am finalising a proposal for a marketing-focused consulting engagement and I need a crisp, persuasive introduction section that instantly signals credibility and value. The text should set the tone for the rest of the bid, summarising my firm’s strategic marketing expertise, relevant results, and the benefits a prospective client can expect from partnering with us. Here is what I need from you: • A polished, client-ready introduction of 300-500 words, delivered in editable Word or Google Doc format. • Messaging that balances strategy and creativity—think clear business outcomes supported by brief proof points rather than a long capabilities list. • Language that works as a standalone cover letter yet flows naturally into the detailed scope and pricing sections...

Autonomous AI agent I want help creating a self-directed AI agent that can tackle biological/medical research research by reviewing the literature and creating mathematical models of disease pathology using the R programming language. • Perform comprehensive literature reviews by ingesting and summarising peer-reviewed papers from major scientific journals and pre-print servers. • Analyse data pulled from public repositories • Reproducing models in the literature and coming up with new hypotheses for mathematical models of disease. I expect an end-to-end workflow: automated retrieval of journal articles and database records, semantic search across that corpus, data cleaning, exploratory and confirmatory analysis in R/mrgsolve, and an LLM-driven (Claude) reasoni...

Our Pain Point: We are currently receiving industry update emails (DIARY'S LATEST NEWS - DIARY directory), which include important information for our business outreach strategy, we wish to be able to organise and utilise this information for our client outreach. Our current process is incredibly manual, it involves setting aside time for an employee to review the emails we have received, click through into the links for the articles provided and pull the relevant information from the article, they then will try and find the person mentioned or referenced in the article on LinkedIn and connect with them on the platform. However, reading and scanning all emails on a regular basis is very time-consuming and not possible for our team to perform on a weekly basis. Hence, our goal would be...

I am pulling information from multiple systems every day—iCloud exports, purchase and revenue files, our CRM, even stray WhatsApp logs—and it is getting messy. I need a detail-oriented analyst who can turn this scattered data into clear, trustworthy insights. Here is what I want to achieve: • Build an accurate data forecast so I know exactly how much usable customer data we have and how long it will sustain current campaigns. • Mine fresh data from every available source, then consolidate everything into one clean dataset. • Audit purchase and revenue records to spot and remove any duplication, with special attention to iCloud–generated files. • Reconcile datasets across systems so customer counts, lead statuses in the CRM, and revenue totals ...

ob Title: Data Scientist Role Overview: We are seeking a Data Scientist to help us transform our CRM, Gradlynk, into a more intelligent, AI-driven platform. The role will focus on leveraging data to enhance student engagement, improve learning outcomes, and optimize operational efficiency across our edtech ecosystem. Key Responsibilities: -Collect, clean, and analyze data from Gradlynk and other sources to generate actionable insights. -Develop predictive models and machine learning algorithms to personalize student experiences and forecast performance trends. -Collaborate with IT, Product, and Operations teams to integrate AI-driven features into Gradlynk. -Translate complex data findings into clear recommendations for educators, administrators, and business stakeholders. -Monitor an...

Thumbnail Design Specialist • High-CTR Designs: Expert in creating eye-catching, high-click-through-rate (CTR) thumbnails that drive views and grow channels. • Visual Storytelling: Skilled at distilling complex video topics into a single, compelling image using vibrant colors and bold typography. • A/B Testing Knowledge: Deep understanding of YouTube/social media trends, ensuring your content stands out against competitors. • Quick Turnaround: Ability to deliver high-quality, professional assets within tight deadlines (often under 24 hours). Data Entry & Administrative Expert • 99% Accuracy Rate: Committed to delivering error-free data management, lead generation, and spreadsheet organization. • Software Proficiency: Advanced skills in Microsoft Excel (VLO...

I need a reliable script that pulls fresh product details and current prices from eBay every 24 hours and drops the results into a clean Excel workbook. The data points I absolutely need are: • Full product title • Item ID / listing URL • Current price (and currency) • Shipping cost if shown • Seller name and feedback score • Listing time-stamp so I can track changes day-to-day WORKFLOW OVERVIEW: You will receive: Images from Singapore card vendors showing buyback prices Use AI tools to: Identify the card from the image Search eBay: For recent SOLD listings of the same PSA card Extract: Actual accepted Best Offer prices Calculate: Total landed cost in SGD Compare: Vendor Buyback Price vs Total Cost Flag: Arbitrage opportunity if pro...

I am looking for a large-scale list build of 200,000 – 500,000 fresh, “scratch” office leads sourced from both LinkedIn and ZohoMail data. The contacts must be based in North America and work in the Finance sector. I specifically need decision-makers and key accounting staff—AP, AR, Controllers, Bookkeepers, Senior Accountants, and CFOs—with verified, ready-to-email addresses. You may pull from LinkedIn Sales Navigator, Zoho CRM, Apollo, Seamless or your own proprietary tools, but every record has to be recently validated so bounce rates stay minimal. Firmographics such as company name, city/state, and employee size should match what LinkedIn shows; no scraped junk or outdated lists, please. Deliverables (single CSV or XLSX): • Full name • Job ti...

============================================================ ROLE: REAL ESTATE LISTINGS DATA & QA SPECIALIST (REMOTE) ============================================================ THIS IS NOT A GENERAL VA ROLE. This role is focused on structured, rule-based review and upload of real estate property listings. Accuracy and consistency matter more than speed. ------------------------------------------------------------ WHAT YOU WILL DO ------------------------------------------------------------ - Review and upload property listings using provided data - Verify price, location, property type, specs, and images - Identify missing, inconsistent, or suspicious information - Flag duplicate or low-quality listings - Follow written SOPs exactly (no improvising) - Record clear QA notes when is...

I have a large collection of raw text documents and images that I need turned into clear, actionable insights. The job centres on exploratory data analysis rather than predictive modelling: I want to understand patterns, themes and relationships hidden inside both formats. Here is what I expect at the end of the engagement: • A well-commented Python (or R) notebook that walks through preprocessing, cleaning and exploratory techniques applied to the text and image sets. • Concise visual summaries—charts for the text, heat-maps or feature plots for the images—exported in high-resolution formats I can drop straight into presentations. • A short written report (PDF or Markdown) highlighting key findings, unusual correlations and any recommendations that emerge...

I’ll hand over three raw datasets—sales transactions, customer demographics, and product inventory—spanning several stores. Your task is to stitch them together, clean inconsistencies, and delve into them with Python. Using Pandas, NumPy, and Matplotlib (feel free to add Seaborn or Plotly if that speeds insight), uncover how buying behaviour shifts: • weekday versus weekend • month by month I’m interested in concrete, data-backed stories: which products spike on Saturdays, whether certain customer segments shop more mid-week, seasonal category swings, ticket size trends, and anything else you spot that helps me fine-tune promotions and staffing. Deliverables • A merged, tidy dataset ready for future modelling • A well-commented Jupyter n...

Experienced Data Scraper Needed – C-Level Contacts in Jewelry Retail (KSA & Qatar) Description: We are looking for a highly experienced and reliable data scraping specialist to collect accurate contact details of C-level executives and key decision makers from the jewelry retail industry in Saudi Arabia (KSA) and Qatar. If you only know basic scraping, this job is not for you. We need someone who understands data accuracy, validation, and structured delivery. Scope of Work: • Identify jewelry retail companies in KSA and Qatar • Extract verified details of: • CEO / Founder / Owner • Managing Director / General Manager • Head of Operations / Procurement / Retail • Provide the following data fields: • Full Name • Job Title • C...

I have a collection of websites that hold the textual information I need consolidated into a single, well-structured dataset. Rather than copying the material manually, I want the process handled through reliable web-scraping tools so the capture is fast, consistent, and repeatable. Your task is straightforward: • Build (or adapt) a scraper that targets the pages I specify, pulls only the relevant text, and skips ads, navigation links, and other noise. • Deliver the harvested content in a clean CSV or Excel file with clear column headings; if you prefer a database export, let me know and we can adjust. • Include the finished script or notebook so I can rerun the extraction later. Accuracy and formatting matter more to me than sheer speed, so please allow time for basic...

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ob Title: Data Scientist Role Overview: We are seeking a Data Scientist to help us transform our CRM, Gradlynk, into a more intelligent, AI-driven platform. The role will focus on leveraging data to enhance student engagement, improve learning outcomes, and optimize operational efficiency across our edtech ecosystem. Key Responsibilities: -Collect, clean, and analyze data from Gradlynk and other sources to generate actionable insights. -Develop predictive models and machine learning algorithms to personalize student experiences and forecast performance trends. -Collaborate with IT, Product, and Operations teams to integrate AI-driven features into Gradlynk. -Translate complex data findings into clear recommendations for educators, administrators, and business stakeholders. -Monitor an...

I have a single wallet address and must understand which exchange or operator controls it. The job centres on transaction-pattern analysis rather than smart-contract performance or general network security. Using your preferred on-chain analytics stack—Etherscan, Blockchair, Chainalysis Reactor, Crystal, or similar—map the flow of funds, identify clustering links, and present evidence strong enough for compliance or investigative review. You will receive: • The wallet address in question • A brief chronology of the activity I have already logged I need back: • A concise report that names the most probable exchange/operator behind the wallet, with screenshots or query exports backing each conclusion • A clear explanation of the heuristics you applied (e.g.,...

I’ve created a Google Sheet that will act as a central “lead collector,” and I need it filled with fresh, accurate contact data pulled from publicly available sites. The focus is simple yet crucial: for every company you find, capture the homepage URL and a working email address. (ask for details in the sheet ) A completely ethical approach is non-negotiable—no gated content, no third-party lists, and no automated harvesting that violates site terms. I’m happy for you to use tools you’re comfortable with (Python, Scrapy, BeautifulSoup, Selenium, Google Apps Script, etc.) as long as you respect and rate limits. Email addresses must appear in plain text within the sheet; please avoid hyperlinks or HTML encoding. Deliverables • A Google Sheet ...

I’m assembling a nationwide database of barbers and beauty-salon owners in the United States and need your help compiling it. Every record must be fully verified and include three data points: • Owner’s full name with current phone number and email address • Business name with complete street address (city, state, ZIP) • Key service specialties the shop promotes (e.g., fades, coloring, micro-blading, etc.) Accuracy is critical, so I will spot-check contact details and discard any duplicates or outdated entries. Please provide the finished list in a clean spreadsheet or CSV that I can filter and sort easily. If you already have a recent, reliable dataset, let me know; otherwise, outline how you’ll source and verify each contact before I award the p...

PROJECT OVERVIEW I am looking for a detail-oriented researcher to perform a competitive analysis of the Restoration & Mitigation industry (Water, Fire, and Environmental services) in specific geographic regions. SCOPE OF WORK 1) Target Identification: Identify active service providers/contractors currently utilizing Google Local Service Ads (LSAs) within our target markets. 2) Data Extraction: For each qualifying business, compile a clean spreadsheet including: A - Company Name, Physical Address, website if applicable B - Primary Office Line. C - Key Decision Maker (Owner/Principal): Identify the primary point of contact. D - Direct Contact Information: Provide verified Direct Dials or business contact lines for the identified decision-maker. Requiremen...

I need investment performance data scraped from a research website and organized into an Excel file. It needs to be set up for scraping on a regular basis. Requirements: - Experience with web scraping tools and techniques - Ability to extract and format data accurately - Proficiency in Excel - Attention to detail and reliability Ideal Skills: - Familiarity with Python, BeautifulSoup, or similar scraping libraries - Prior experience with financial data - Strong data handling and manipulation skills Please provide a sample of your previous work related to web scraping.

I’m completing my MTech at GTU and my approved thesis topic is sentiment analysis of hotel reviews collected from major online review websites such as TripAdvisor and Booking.com. I need a data-savvy NLP partner who can work with me across the full research pipeline—from harvesting the raw reviews to writing up publish-ready results. Here’s what I have in mind: • Build and share a reproducible scraper or API workflow that gathers a sizeable, legally usable corpus of hotel reviews (ideally 50 000+). • Clean, label, and explore the text so we can isolate meaningful sentiment signals; I’m open to focusing on customer satisfaction, service quality, room amenities, or any mix that produces the most insightful output. • Develop both baseline keyword ap...

Scope of Work: Automated Data Extraction and Alert System from Etimad Tenders Portal Project Title: Automated Data Scraping, Google Sheets Integration, and Email Alerts for Etimad Pre-Planning Opportunities 1. Background The Etimad platform ( ) publishes pre-planning and upcoming tenders from Saudi government entities. The goal is to develop a fully automated system within two days that extracts tender data, stores it in a structured Google Sheet, and sends email alerts when new opportunities appear that match specific keywords (to be provided). 2. Objectives Automatically extract all relevant tender data from the Etimad Pre-Planning portal. Store and update the extracted data in Google Sheets on a scheduled basis. Detect and highlight new tenders. Send email alerts for new tenders...

I’m ready to turn a fresh idea into a working MVP and need an AI specialist who can own the end-to-end predictive analytics layer. The single most important outcome is a model that takes my existing data, produces reliable forecasts, and is simple enough to slot straight into a lightweight product demo. Here’s the scope in plain words: • Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible. • Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end. • Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, n...

I have a complete export of my website analytics and need a data-savvy partner to turn those numbers into a clear story. The sole focus is web traffic: no sales or survey figures are involved. I want to surface user-behavior patterns so I can see exactly how visitors flow through the site and what they do once they land. More specifically, I need insight on: • Page views and navigation paths — where users enter, where they drop, and the common journeys in between • Interactions with elements (clicks, scrolls) — which buttons, links, or sections grab attention and which are ignored Raw data can be delivered in GA4, server logs, or CSV form; you pick the environment you feel most comfortable in (Python, R, SQL, BigQuery, or a BI tool such as Tableau, Power BI, o...

Sto avviando un progetto di intelligenza artificiale pensato per gestire e ottimizzare i processi di marketing e vendite. Cerco una figura capace di: • Analizzare i dati esistenti (CRM, campagne, fatturato) per individuare pattern rilevanti. • Automatizzare attività ripetitive, come l’invio mirato di e-mail o la profilazione dei lead. • Generare insight in tempo reale che guidino le decisioni commerciali. • Fornire previsioni sull’andamento delle vendite e sull’efficacia delle iniziative di marketing. Mi interessa una soluzione funzionante end-to-end: dal reperimento e pulizia dei dati alla messa in produzione del modello, con dashboard di reportistica chiara e documentazione di utilizzo. Preferisco tecnologie consolidate (Python, scikit...

I’m looking for a curious, data-driven analyst who can carry out rigorous market research with one clear purpose: pinpoint emerging trends and untapped opportunities. This project isn’t about compiling a generic industry overview; I want actionable insight that can guide product and go-to-market decisions. Here’s how I picture the workflow: • You’ll help me define the exact market segment we should interrogate, drawing on preliminary signals and any early hypotheses I share. • Using publicly available datasets, reputable industry reports, social-listening tools, and news/API scraping where appropriate, you’ll build a fact-base that shows where demand is growing, which customer needs are still underserved, and what macro forces are driving change. ...

I already have a curated list of LinkedIn profile URLs and need the key networking details moved into a single Google Sheet. For every profile, capture each person’s stated interests and list the five types of people they say they want to meet. Those “meet-up” types should be tagged under the three clear categories I care about—Industry experts, Potential clients and Collaborators—so that I can later filter the sheet by networking goal. Please place one profile per row in the Google Sheet and create separate columns for: • Profile URL • Name (as it appears) • Interests (comma-separated) • Type 1 through Type 5 (verbatim wording) • Category tag (Industry experts / Potential clients / Collaborators) Accuracy of the text you...

I am assembling a large-scale database of verified business contact emails for manufacturers and suppliers based in mainland China. The exact sector is flexible—electronics, textiles, automotive, or any other industry is acceptable—so long as each record represents a genuine factory or wholesale supplier. What every entry must include is: • A working contact email address • The corresponding city or province within China Extra columns such as company name, product line, phone, or website are welcome bonuses, but the location paired with the email is non-negotiable. Quality matters more than quantity, yet I still need a minimum of 20,000 unique contacts. I will run random bounce checks, so a failure rate above 5 % or noticeable duplication will require a clean...

I need a comprehensive systematic review on the efficacy of Laser-Activated New Attachment Procedure (LNAP) with Scaling and Root Planing (SRP) versus open flap debridement in treating periodontal defects. Key Requirements: - Include studies from PubMed, Cochrane Library, and Google Scholar. - Perform statistical comparisons and meta-analysis. Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis. - Strong background in periodontal research. - Proficient in statistical analysis software. - Familiarity with the specified databases. Please provide relevant credentials and experience in your bids.

I need an expert in Python to help with data analysis and processing tasks, specifically focused on unstructured data such as text or images. The ideal candidate should be proficient in Python libraries and tools designed for handling unstructured datasets. Your role will involve creating scripts or solutions to extract insights, patterns, or other relevant analyses from the data provided. If you have a strong command over libraries like Pandas, NumPy, or specialized tools for text and image processing, I’d love to hear from you.

I have a single Instagram Reel that was publicly available for roughly a year before being removed or placed in archive. I saved every trace I could—direct links, full-length screen recordings, and the search-engine cache hits that still reference the post. What I now need is a technical reconstruction of its viewership data. Your objective is to extract and corroborate: • Number of views over time (ideally plotted or tabled) • Any available demographic clues about who watched it • Engagement rates the Reel achieved while live Because the original URL now returns a 404, I expect most of the intel will come from open-source techniques: exploring Web archives (Wayback Machine snapshots, Google cache, ), digging into any residual JSON, and cross-referencing with Ins...

I have two source spreadsheets that I need merged and enriched through automated scraping: • “File 1” – 170 k Spanish local businesses with emails • “File 2” – 65 k additional businesses with websites only Phase 1 – Email extraction Using a Python script and well-known libraries (requests, BeautifulSoup, Scrapy or similar), scan every site listed in File 2, capture all working email addresses you can locate, then append them to the corresponding rows so I can produce a unified “File 3”. Phase 2 – Offer harvesting Next, visit each live site in File 3. Where an offer, deal or promotion is publicly displayed, record the details in a fresh Excel sheet with these exact columns: Business ID | Business Name | Offer...

I need a data scraping expert to help generate leads from a list of websites. Requirements: - Scrape contact information, product listings, or user reviews (to be specified). - Work from a provided list of URLs. Ideal Skills: - Experience with data scraping tools and techniques. - Ability to handle multiple URLs and extract data accurately. - Attention to detail and reliability. Please share your portfolio and relevant experience.

Industrial Automation Product Data Extraction, Deduplication & Structured Image Collection Project Overview We are an industrial automation parts distributor building a structured product database to support inbound enquiries and SEO growth. We require an experienced data extraction specialist to: Extract structured product data from major industrial / electronic component distributor websites Identify duplicate manufacturer part numbers across multiple sources Merge all unique information into a single consolidated dataset Extract and organise all available product images per part number Deliver a clean, deduplicated, production-ready dataset This project includes: Data extraction Normalization Deduplication Intelligent merging Structured image collection and organisation...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

I'm seeking an experienced NLP developer to build a real-time pipeline that ingests text streams via API in JSON format. The primary purpose is sentiment monitoring. Key requirements: - Classify sentiment and categorize events - Output calibrated confidence levels - Deduplicate and validate data using rules - Log all activities for production Ideal skills and experience: - Proficient in NLP and machine learning - Experience with real-time data processing - Strong knowledge of API integration - Familiarity with data validation and logging techniques Please provide relevant portfolio and experience.

I’m launching a focused pollution-control study on local waterways and need a researcher who can turn scattered information into a clear, evidence-based picture of what is really happening beneath the surface. The core of the job is data: finding it, validating it, analysing it and turning it into insights decision-makers can act on. You will help me locate and compile raw water-quality figures—field samples, public monitoring stations, satellite or drone readings, academic papers, anything reputable—then clean and merge those datasets in a way that lets us spot patterns of contamination over time. Solid skills in Excel, Python or R for data wrangling, plus basic GIS mapping to visualise hotspots, will be essential. Once the numbers are in shape, I’ll rely on you ...

We are looking for an experienced and reliable lead generation specialist with a strong understanding of the cryptocurrency and blockchain space. Your primary responsibility will be sourcing high-quality, targeted crypto leads based on defined criteria. This may include (but is not limited to): • Identifying potential investors, traders, or crypto-interested users • Sourcing business leads within the blockchain / Web3 ecosystem • Collecting accurate contact details and relevant data • Ensuring leads are verified and up-to-date Requirements: • Proven experience in lead generation (preferably in crypto / blockchain niche) • Strong research skills and attention to detail • Ability to deliver accurate, high-quality data • Familiarity with crypt...

I have a fully categorical data set and I want to explore a Reinforcement learning approach to achieve Clustering—steering clear of the usual supervised pipelines. The core goal is to let an agent interact with the data space, discover coherent groups, and maximise a reward function that reflects intra-cluster similarity and inter-cluster separation. Here is what I need from you: • Clean, well-commented code (Python preferred) that builds the reinforcement environment around the categorical features, implements the agent, and trains it until a stable set of clusters emerges. • A brief report or notebook showing how the reward signal is defined, how you tuned hyper-parameters, and how the resulting clusters can be interpreted or visualised. • Clear instructions so...

I need a clean, accurate database of 15,000 accounts-payable contacts at privately-owned companies across the United States. For every record I must have the person’s full name, job title, company name, corporate email, and direct phone. These addresses must pass an email-verification sweep (NeverBounce, ZeroBounce or comparable software) so the final file is ready for outreach with a very low bounce rate. My ideal file arrives as a single CSV or Excel workbook that includes the verification status for each email plus a summary report from the tool you used. Bounce-free delivery is essential; anything over 2 % will require replacement. Please source only true A/P decision makers—no generic “info@” or “sales@” inboxes—and avoid public-sector organ...