Nov 2022 – Jul 2023 · 8 mos

May 2022 – Nov 2022 · 6 mos

Sep 2020 – May 2022 · 1 yr 8 mos

Mar 2019 – Aug 2020 · 1 yr 5 mos

• Predicting future sales using market and client data
• Setup a process and led a team of 3 data scientists to predict future sales for multiple clients Used time series forecasting based methods to predict on future period for time series data Used classical ML models and neural networks to predict sales capacity of new product Handled large data for a Fortune 500 client using pyspark and hive
• Tech Stack: Python, Pytorch, Gensim, Statsmodel, Pyspark, Hive, Linux
• Fashion attribute extraction from text and images
• Build an NER system to extract attributes from text using CRF, NLTK and word embeddings Integrated multiple public databases and local tagging system for image attribute extraction Used graph neural network and transposed CNN network to extract attributes from images Deployed the model and UI using flask reducing report delivery time by 90%
• Tech Stack: Pytorch, Pandas, Python, Reactjs, Keras, Tensorflow, Linux Search Engine for fashion products
• Used NER and elastic search to build a search engine for fashion discovery
• Build an autocomplete and suggestion function
• Deployed and integrated the search service to the complete which led to increase in search usage by 190% Tech Stack: Python, Pytorch, Gensim, Elastic Search, Linux

Sep 2017 – Aug 2018 · 11 mos · Gurugram, Haryana, India

• Chatbot platform for building chatbots
• Developed a platform to build chatbot using python and Reactjs
• Added live chat functionality to divert chats to real time agents
• NLP algorithms for chatbot
• Developed an Intent Classifier to classfiy the intent of user queries using TF-IDF Classifier and LSTM
• Named Entity Recogniser for recognising Indian names using CRF and a dictionary based entity recogniser
• Enhanced ML model perform comprehension and answer factoid questions on the SQUAD dataset
• Image Processing and Image Tagging
• Extracting relevant information from Medical Bills, Forms, Certificates using OCR
• Image Tagging of the extracted text by analysing the text layout using openCV
• Identify and localize tables in form images using openCV and object identification

Jul 2016 – Sep 2017 · 1 yr 2 mos

• Responsible for debugging and enhancement of the code for in-house patient flow platform built on object-oriented VBA
• Integrated splining algorithms into the forecasting tool as an enhancement to convert annual data into monthly data
• Development of projection tool
• Developed projection tool with options for algorithms like linear regression, holt-winters for a global pharma giant
• Upgradation of Box-Jenkins algorithm
• Researched through the existing code and scientific literature to get a comprehensive understanding of the algorithm
• Analyzed the root cause to be overfitting through test cases and altered the code to add a penalty for