Data Analysis — Market Data Cleaning & Reconciliation

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Clean Dataset from Market Price Data with Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for a Python developer with strong data analysis skills. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects involving data analysis and cleaning. I will align and reconcile the two data sources, ensuring consistent data shape and insightful analysis. ➡️ Why Me? I can easily transform your daily market price data into a clean and reliable dataset. With 5 years of experience in Python, data analysis, and data cleaning, I have a strong grip on handling messy real-world data and financial data nuances. I will provide a short report that an analyst can rely on, all within your budget. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Data Analysis ✅ Data Cleaning ✅ Data Reconciliation ✅ Financial Data Handling ✅ Market Price Analysis ✅ Statistical Analysis ✅ Report Generation ✅ Error Handling ✅ Data Visualization ✅ Problem Solving ✅ AI/LLM Integration Waiting for your response! Best Regards, Zohaib

@Softeria

⭐⭐⭐⭐⭐ Data Analysis — Market Data Cleaning & Reconciliation ❇️ Hi. Ive reviewed your project needs and see youre looking for a Python developer skilled in data analysis to work with daily market price data from two different providers. I have already completed over 20 similar projects for market data analysis and reconciliation. I will create a clean, reliable dataset from the disparate sources that provides actionable insights and aligns with your requirements. ➡️ Why Me? I hold a PhD in Data Science with over 7 years of experience in data cleaning, analysis, and financial markets. My expertise includes handling corporate actions, FX adjustments, and dealing with discrepancies in data from multiple sources. I am also comfortable with Python and relevant data analysis libraries, which ensures accuracy and efficiency in data processing. ➡️ Let’s have a quick chat to discuss your project in detail, and I can show you samples of my previous work. ➡️ Some of my similar work: ✅ Financial Market Analysis System ✅ Stock Price Reconciliation Tool ✅ Dividend Adjustment Data System ✅ Currency Exchange Analytics ✅ AI for Financial Summaries ✅ Predictive Analysis for Stock Returns ✅ Volume and Price Trend Analysis ✅ Automated Reporting Tools Waiting for your response! Best Regards, Dr. Muhammad Asad

@EightVeer

Hi there, We can help reconcile the two market data feeds into one clean, consistent dataset, with attention to adjusted vs. unadjusted prices, splits, dividends, currencies, and data quality checks. We will also review patterns in prices, returns, and volume, then package the results into a concise report an analyst can use. Our initial assumption is that the two provider files will be shared directly and that the main need is deterministic cleaning, validation, and clear reconciliation notes. Best Regards, 8veer

@ShaikhAneesa

Hi there, I understand you need to reconcile two independent market data feeds into a single, high-quality dataset despite differences in corporate actions, currencies, and data quality. I am confident I can build a robust data reconciliation workflow that produces a clean, analysis-ready dataset with complete validation and reliable financial insights. My approach will be to first profile both data sources, identify schema differences, and reconcile adjusted versus unadjusted prices, stock splits, dividends, FX conversions, missing values, duplicate records, and inconsistent timestamps. Using Python and industry-standard data processing techniques, I'll implement a transparent validation pipeline that standardizes the data, flags anomalies instead of silently removing them, and generates a trusted master dataset. I'll then perform descriptive analysis on prices, returns, trading volume, and key trends, delivering concise analytical findings. To ensure confidence in the results, I'll validate every transformation, document the reconciliation logic, and provide clean, maintainable code with reproducible outputs. When the two providers disagree on adjusted prices or corporate actions, do you already have a preferred source of truth, or should the reconciliation logic determine this using predefined validation rules? I'm ready to start immediately. Warm Regards, Aneesa.

@Tanmoy236

Greetings! I specialise in Python data analysis, financial datasets, and data cleaning automation. We are a team of 62 professionals with over 9 years of experience in Python, analytics, data processing, and AI-powered solutions. Here's how we can help: • Reconcile and merge market price data from multiple providers. • Clean missing values, inconsistencies, currency differences, and corporate action adjustments. • Normalize datasets for reliable analysis and future usage. • Analyze price movements, returns, volume patterns, and key insights. • Provide a clean dataset with a concise analyst-friendly report. Could you share the data formats (CSV/API/database) and the expected output structure? Also, which markets or asset classes are included in the feeds? Ready to transform your raw market data into a reliable and actionable dataset.

@sumbali

Hi! As a BS Statistics graduate with strong Python and data analysis skills, I specialize in cleaning and reconciling messy datasets. I can align multi-source market data, handle splits, dividends, FX differences, and missing values, then deliver a reliable dataset with clear insights and a concise report. Ready to start immediately.

@ahmadayaz

I offer expertise in consolidating market price data from different sources, handling discrepancies in split handling, dividends, and currencies. I am experienced in analyzing adjusted and unadjusted prices, as well as corporate actions. Utilizing AI/ML for result summarization can enhance analytics and scalability for future growth. Security and reliability are top priorities, and I aim to exceed expectations for a long-term partnership.

@usmanbashir12100

Hi, I understand you need to reconcile two market data feeds into a single clean, reliable dataset while handling corporate actions, currency differences, missing values, and inconsistencies with confidence. I'll build a robust Python workflow to clean, align, and validate both datasets, generate accurate price, return, and volume analysis, and deliver a concise analyst-ready report with clear insights. I have experience working with complex real-world data and can also incorporate an AI-powered summary if needed. Best regards, Muhammad Usman

@sareheshak

AVAILABLE TO START IMMEDIATELY..,,. I will deliver a thoroughly cleaned, reconciled, and aligned market dataset using Python, plus a concise report summarizing price, return, and volume patterns, accounting for corporate actions and FX differences. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.

@DeveloperStation

Hi, I’ve worked extensively with financial data, including market prices, and have developed solutions that clean, analyze, and visualize this data. I understand the importance of accurate data in driving business decisions. In one project, I integrated multiple data sources to create a unified dataset, which was then used for machine learning models. I also built a web app for analysts to explore this data and generate reports. I’m proficient with Python libraries like Pandas, NumPy, and FastAPI, and I’m comfortable using Azure/AWS for hosting and CI/CD. Let’s schedule a 10-minute call to discuss your project in more detail and see if I’m the right fit. I’m eager to learn more about your exciting project. Best regards, Adil

@anirudhat

Reconciling two market feeds that disagree on splits, dividends, and FX is exactly the kind of messy financial-data work I enjoy, and the key is normalising both to a common basis before comparing—so I'll first align everything to adjusted prices in a single currency, then diff the sources to surface genuine discrepancies rather than corporate-action artefacts. I'll use Python (pandas/numpy) to align on date and symbol, handle gaps and bad values sensibly, flag outliers, and produce one clean, consistent dataset with a clear audit of where the feeds differed and how I resolved it. Then I'll analyse patterns in prices, returns, and volume, and deliver a short report an analyst can trust—optionally using an LLM to summarise or categorise the findings. I'm comfortable with adjusted vs. unadjusted prices and corporate actions. I can start right away.

@shivansh121

Hi, I have 9+ years great working experience with Python and Data Analysis & Scraping projects. I assure you that I will provide you best quality of work within required time and reasonable budget. I am looking forward to an early and positive response. Regards, Shalu

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience in software development, with a background in data engineering and data analysis. I am familiar with Python, data processing, statistical analysis, data science, data management, FinTech, and AI/LLM integration. I have reviewed your requirements and can reconcile the two market data sources by handling inconsistencies in corporate actions, currencies, missing values, and data quality. I will deliver a clean, reliable dataset along with a concise analysis of price, return, and volume patterns, and can also incorporate an AI-based summary if needed. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@paulmd369

Sir, I can help you. I’m ready to start right now. I am a Python developer. Let me know. Waiting for your message. Thank you so much.

@khaliduom103

‎Hi I am experienced data analyst of all types of raw data.I will provide my previous project output in the chat box.I have expertise in python for all types of data analysis. ‎

@Muhammadzeesha59

Hello Sir/Mam I am excited to offer my expertise in Data Analysis , Data processing , Machine Learning, Automation, Data Protection, Technical Support , Computer Repair, Data Management, Data Recovery to assist . With a robust background in making case studies and projects, proficiency in R, spreadsheet tools, and Tableau, Power BI , SQL , Excel , SPSS Statistics , Data Entry . I am well-prepared to support you in your Project . My ability to deliver exceptional results on time and with utmost quality . I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@albertc1996

Hey, Reconciling two market data feeds is mostly about figuring out where the adjustment methodologies diverge — splits and dividends handled differently between providers cause the biggest headaches, especially when one source is total return and the other isn't. I can take a quick look at a sample from each feed before we start, if you want a faster turnaround. What are the two data providers? Most devs pick a lane — frontend, backend, AI. I don't, and that's why clients keep coming back: 18 five-star reviews. crypto dashboards, Flutter apps, e-commerce platforms with custom payment logic, AI-powered bots — different problems, same person solving them. So when a project lands outside a neat category, that's usually where I do my best work.

@MZITSERVICES

Hi there, I am A.R.M. MASUD with a strong background in data science.I specialize in providing customized data analysis services that transform raw data into meaningful insights to support strategic decision-making. Our approach includes data cleaning, exploratory data analysis (EDA), statistical modeling, and visualization using tools such as Python and Excel, tailored to your specific goals. With a strong background in analytical research and a proven track record of delivering actionable results, I ensure the delivery of timely, accurate, and business-relevant insights. I am confident that our expertise will provide the clarity and direction needed to drive impactful outcomes for your organization. Thank you for considering your data analysis project. I am confident that our expertise and commitment to excellence will add significant value to your business operations. Thanks A.R.M. MASUD

@MQamar123

As a seasoned Pythonista with diversified experience in the tech industry, I've developed an intricate skill set that's perfectly suited to tackle your data analysis project. Over the past 7 years, I've adeptly dealt with wrangling real-world, messy datasets to extract meaningful insights. Moreover, my comprehension of financial/market data intricacies, such as adjusted versus unadjusted prices and corporate actions, ensures I can reconcile and clean the discrepancies between the two different market datasets seamlessly. Additionally, my proficiency in Python leverages machine learning algorithms, allowing me to utilize transformed data effectively for even more in-depth analytics. This transformative approach uses AI techniques to summarize or categorize results for better end-user efficiency. Let's not forget that meeting your expectations is my utmost priority! With a thirst for client satisfaction and a proven record of delivering high-quality work on time, I believe my adaptability and expertise would be an invaluable resource in assuring a purposeful and reliable dataset for you and your analysts. Let's have a chat about how I can help you turn your market data into insights!