Experience

• 

  Citi

  Mar 2019 - May 2019

  Citi bridge program

  •Built Python classification models (KNN, Logistic Regression, Random Forests, SVM) increasing accuracy by 30%, leading to an annual savings of $500k in fraudulent transactions

• 

  Gamaka ai

  May 2019 - Jun 2019

  Data science intern

  • Developed and deployed 8 distinct predictive models (including XGBoost, LightGBM, ARIMA, and Decision Trees) for clients, achieving an impressive 94% accuracy in demand forecasting and employed unsupervised machine learning methods including K-Means, K-Medoids, and Gaussian Mixture Method for enhanced precision.

• 

  Hsbc

  Sept 2020 - Jul 2023

  Contributed to digital transformation initiatives through machine learning and NLP solutions for banking operations and customer service enhancement.• Improved data quality by developing ETL processes for large datasets, achieving an 18% reduction in data discrepancies• Implemented sentiment analysis using advanced NLP techniques (BERT, HuggingFace), helping reduce client complaints by 7%• Built predictive models using Large Language Models for banking segments, contributing to an 8% decrease in call hold time through workforce optimization recommendations Show less Digitization• Developed and implemented an advanced automation solution for a critical documentation process, resulting in a substantial 60% reduction in manual efforts. • Developed enhanced versions of existing API services addressing evolved customer needs. • Worked on microservices exposing REST-based APIs to cater to a large user base ,making the application more resilient. • Developed Liquibase Scripts using MySQL and Stored Procedures to maintain database schema. • Developed Feature Integration Tests to automate manual sanity testing, reducing production deployment time by 20% • Periodically improved code quality and coverage by 30% using SonarQube reports. Show less

  • Data Scientist

    Mar 2021 - Jul 2023

  • Trainee Software Engineer

    Sept 2020 - Feb 2021
• 

  Jabil

  May 2024 - now

  Data scientist

  Contributing to manufacturing analytics initiatives through AI and data science projects, focusing on process optimization and GenAI implementation.- Developed and implemented a text summarization pipeline using RAG and GPT-3.5 Turbo, leveraging LangChain and StreamLit to improve document processing workflows- Built a predictive model to forecast project completion times in manufacturing, analyzing risk factors, phase durations, and high-lead time components, reducing delays by optimizing resource allocation.- Optimized machine downtime analysis using SQL on 800M+ sensor event logs, identifying key failure patterns and improving maintenance efficiency, leading to a 20% reduction in downtim Show less