Anand S Patil is a Data Scientist with 5 years of experience specializing in Python, Machine Learning, and NLP. His technical expertise includes developing NLP solutions using NLTK and Stanford CoreNLP, and implementing deep learning algorithms such as ANN, RNN, and CNN. He possesses hands-on experience in MLOps, building end-to-end ML pipelines, and working with databases like MySQL and MongoDB.
Experience
Data Scientist
Edgi Learning
Developed a chat assistant (Edgi librarian) powered by ChatGPT to help guide students in learning complex topics and providing curated content, videos, and web links.
Data Scientist / Co-Founder
Brillbox
Developed EngOps, an energy trading software that uses multiple ML models to forecast future energy demands and maximize profits in multi-market electricity trading.
Machine Learning Engineer
Squareyards
Developed a Geo location Based and User-Oriented Hybrid recommendation engine for a real estate website, and a route recommendation service providing optimal travel routes based on user-specified origin and destination.
Data Scientist
Hewlett Packard Enterprise
Built an information extraction system using RPA to extract required entities (client name, bank account number, amount, etc.) from noisy tax documents. Developed BOTs for tax calculation, reconciliation, and e-filing processes.
Data Scientist
IQVIA
Designed a Neural Machine Translation tool for multi-lingual medical document translation, aggregating diverse parameters to detect treatment anomalies and identify patterns of improvement over medications.
PYTHON DEVOLOPER in AI
Apar Peopleworld Software services Pvt Ltd.
Developed an AI powered Application Tracking System and Talent Acquisition Suite, including a pipeline for tokenization, part-of-speech tagging, named entity recognition, and phrase parsing for automated resume and job description entity extraction.
ASSOCIATE SOFTWARE ENGINEER
Valuepoint Knowledgeworks Pvt Ltd.
Designed an automated Machine Translation Engine (Trados) for English and Hindi, involving decoding source text meaning and re-encoding it into the target language.