Resume

M.Tech in Data Science

PG Diploma in Artificial Intelligence & Machine Learning

B.Tech in CSE (Specialized in IBM Business Analytics)

Senior Data Scientist

• Deal Health - Built a scalable end-to-end ML pipeline for Deal Health monitoring, delivering actionable recommendations with 88% accuracy.
• Central AI for Sales - Building an AI-powered system using LLMs, RAG, and Spark to improve sales processes for big enterprises.

Lead Data Science Consultant

• Developed and deployed a Donor Propensity Model to serve live customers.
• Created a Donor Data Descriptive Dashboard for end-users to provide actionable insights.

Data Scientist

• Location Alias - Implemented large-scale data deduplication using a probabilistic model, reducing data volume by 40% and improving the accuracy and load of downstream applications by 25%.
• Feedback Recommendation - Implemented semantic encoding and NLP techniques to enhance feedback generation and recommendations.
• Reputation Scoring & Anomaly Detection - Developed the RepScore Thermometer, a metric indicating business/customer reputation and conducted time series analysis for anomaly detection.

AI Software Engineer

• Built core AI product at AIEnsured focusing on machine learning solutions.
• Developed an End-to-End pipeline for explaining image classification models using Explainable AI.
• Worked on large-scale data projects including Location Alias and Feedback Recommendation systems.

Machine Learning Engineer

• Completed end-to-end ML projects including Time Series Forecasting.
• Developed classical image processing algorithms from scratch.
• Worked on independent machine learning and AI consulting projects.

Sales Deal Health Score

• Deal Health - Built a scalable end-to-end ML pipeline for Deal Health monitoring, delivering actionable recommendations with 88% accuracy.

Local Chatbot for Private Data

• Developed a question-answering chatbot optimized for CPU.
• Implemented secure and scalable solutions using local LLMs.

Meta Data Extraction from Rental Agreements

• Built an NLP pipeline to extract metadata from legal agreements.
• Achieved high accuracy on large-scale document processing.

Aspect-Based Sentiment Analysis

• Conducted sentiment analysis on large-scale text data.
• Delivered domain-specific sentiment insights using advanced LLMs.

Netflix Movie Recommender System

• Designed a collaborative-based recommendation system for movies.
• Handled large datasets efficiently.

Other Projects and Case Studies

• Summarize product reviews on Large Scale Text Data
• Delivered domain-specific sentiment insights using advanced LLMs.
• Amazon Fashion Apparel Recommendation System (Content based)
• Quora Questions pair similarity

Google ML Engineering Certification

• Certified ML Engineer specializing in scalable ML systems.

Machine Learning Training

IBM Business Analyst