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$25 USD / heure
Drapeau de INDIA
baldeo, india
$25 USD / heure
Il est actuellement 10:36 AM ici
Membre depuis le août 5, 2022
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Nitesh G.

@niteshgudhenia

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$25 USD / heure
Drapeau de INDIA
baldeo, india
$25 USD / heure
N/A
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Data Science ||ML|| Full Stack Developer

Hi, I am a Data Scientist, AI, Machine Learning and Software Engineer with over 3 years of professional experience building software at any scale. I used to work at large companies such as Carscan as well as in many successful startups I have a good network of engineer talent who can help build product MVPs effectively. Products built by me helped startups to raise millions of USD. I have a team of 5 professional Data Annotation specialists who have completed a lot of projects in Natural Language Processing and Computer Vision fields. They are fluent in the following data annotation platforms: CVAT, Doccano, ProdiGy. I am proficient in: ✅ Data Science and Machine Learning: ● classification and regression tasks ● time-series prediction (ARIMA, ...) ✅ Natural Language Processing (NLP): ● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc) ● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains) Frameworks: SpaCy, HuggingFace, Transformers, NLTK, Annotation platforms: Doccano, ProdiGy, Clarifai Architectures: BERT, LongFormer, GPT-3 Domains: MedTech, E-Commerce, HRM, AD-tech ✅ Computer Vision (CV): ● Image Classification ● Object Detection (YoLo) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) Frameworks: PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, [login to view URL] Annotation platforms: CVAT, Clarifai Domains: Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis) ✅ Full-Stack Development: ● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework) ● Frontend (Vue.js, React.js) ● WordPress ● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform) ● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB) ● AMQ (Celery, RabbitMQ) Technical skills: Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Sass, Webpack, Gulp, Git, Ethereum, Solidity, OpenZeppelin, Truffle, Flask, and Django. Thanks for your consideration!
Freelancer Javascript Developers India

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Éléments du portfolio

Web design
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Web Design
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error
• Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer
• Created a system for automatic approval in certain specific circumstances, which sends automated request to the head of specific field
• Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data
Business Analytics Dashboard
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error
• Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer
• Created a system for automatic approval in certain specific circumstances, which sends automated request to the head of specific field
• Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data
Business Analytics Dashboard
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error
• Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer
• Created a system for automatic approval in certain specific circumstances, which sends automated request to the head of specific field
• Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data
Business Analytics Dashboard
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error
• Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer
• Created a system for automatic approval in certain specific circumstances, which sends automated request to the head of specific field
• Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data
Business Analytics Dashboard
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error
• Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer
• Created a system for automatic approval in certain specific circumstances, which sends automated request to the head of specific field
• Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data
Business Analytics Dashboard
Research Paper

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Expérience

Business Analyst

Hero Vired
juin 2022 - août 2022 (2 mois, 2 jours)
• Created an intelligent data entry tool for the finance, sales, and delivery teams using node.js and react.js to decrease the manual error • Build an automated mail trigger system, which send daily and weekly sales reports and finace analysis/summary to CEO using nodemailer • Connected whole postgresql database to Tableau, which helped in data story telling, complete analysis of sales,finance and delivery data

Computer Vision Engineer

Carscan
déc. 2021 - avr. 2022 (4 mois, 1 jour)
Objective: To build Automated Detection System to detect damages and parts of Cars and Bikes • Scraped the image datasets from various websites using selenium / beautiful soup for an Automated Detection System using MaskRCNN • Build an Automated Damage Detection system which can detect visible damaged sections present on the bikes and cars with its type • Created a Deep Learning Model in Pytorch, a type of Automated Parts Detector which detect and label parts of bikes and cars in one pass

Research Associate

NITIE
août 2021 - déc. 2021 (4 mois, 1 jour)
Worked on live industrial projects and research in collaboration with industry professionals and professors at NITIE in domain of ML/AI • The research topics and projects are focused on analyzing data, getting insights from data, use of optimization techniques and use of Machine Learning and Deep Learning algorithms to optimize processes in the logistics, supply chains and for inventory managements

Éducation

Specialization In AI/ML

Indian Institute of Technology, Kharagpur, India 2019 - 2022
(3 ans)

Qualifications

Smart India Hackathon Winner

AICTE
2022
•Worked on a Deep Learning Model Wave2Vec that used Tansformer, a algorithm that translate Sanskrit voice to text in real time •Created a Google Chrome extension and integrate this Wave2Vec model with the Django Rest API and make it available to everyone

Publications

Designing the drone based end-to-end local supply chain distribution network

IFAC
• Study to formulate the end-to-end local supply chain network by considering the material handeling and minimize transportation time • Used Dijkstra algorithm for getting shortest path to deliver medicine and concept of coin change problem to make this network

Demand Forecasting Of a Multinational Retail Company using Deep Learning Framework

IFAC
• Objective of the study is to explore deep learning algorithms for time-series prediction on the database of a Multinational Retail company • perform the LSTM and LGBM algorithms for training and prediction,Light GBM is found to be performing better in the demand forecast

Contactez Nitesh G. concernant votre emploi

Connectez-vous pour discuter des détails via la messagerie.

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