Hey, I'm Nandeshwar Gupta.
I currently work with V-Mart Retail Pvt. Ltd. as Senior Data Scientist.
What drives me?
If you ask me on any random day, I will say it's Music and Travelling. But nowadays I am high on Deep Learning & web3 (NFTs).
Experience
Senior Data Scientist, V-Mart Retail, Feb2021–Present
Machine Learning
- Built Recommendation Engine for V-Mart E-commerce Platform.
- Customer Segmentation Analysis to increase sales.
- Customer Churn Prediction using Light GBM.
- Covid-19 Forecasting using Time-Series Analysis.
Data Engineering
- Built ML Pipelines using tools like Airflow, Celery & MLflow on AWS & on-prem for scheduling jobs.
- Collaboratively developed Data Lakehouse Architecture using AWS S3, Glue & Athena.
- Built CI/CD pipelines using AWS pipelines & GitHub actions.
Manager Data Science, Vasitum, Aug 2020 – Feb 2021
Machine Learning
- Built Recommendation Engine from scratch to drive better engagement & conversions.
- Chatbot – Built & maintain NLP based chatbot on RASA framework with Entity detection & Intent Classification.
- Elasticsearch – Optimized search engine to provide relevant results & improve entity discovery experience.
- Built end-to-end machine learning solutions (NLP, NER, DNN) to solve problems such as Spam Job classification, etc.
Data Engineering
- Database modeling for large-scale data collection.
- Transition to serverless architecture using AWS Lambda & Fargate
Data Scientist, Quick Company, May 2018 – August 2020
Machine Learning
- Applied Named Entity Recognition (NER) on a scale using Spacy.
- Implemented a Text Classification model on legal text using WordEmbeddings.
- Built Captcha Recognition model using CNN & OpenCV.
- Optimized Image Classification model built on PHOG algorithm.
Data Engineering
- Developed a fully automated event driven scraping framework.
- Used Neo4j database to link data & create graph structure.
- Built dashboards for reporting using D3js & Plotly.
Backend Services
- Created a unified search engine using Elastic Search.
- Built various applications for Web Backend & APIs using Django, DRF, boto3 & automated tasks (scrapers, schedulers, queue-based jobs) on AWS.
- Dockerized various APIs (microservices)
Tools
- Packages - Sklearn, Pytorch, Statsmodel, Matplotlib, FAISS, MLFlow
- IDE - Google Colab, Jupyter Lab, Datagrip, and VS Code
- Productivity Tools (Dev) - Sublime Merge, Postman
- Productivity Tools - Notion, Pocket
