Data Scientist 
I’m a Technology Freak and Data Scientist based in Bengaluru, India. I work in an amazing team, surrounded by great people!. I’m passionate about Machine learning and its advantages. I have extensive experience in solving real-world business problems across domains using machine learning, to build applications and enable products. I like to go on long walks, treks, explore new places, and enjoy listening to music.
I have completed my bachelor’s at Indian Institute of Technology Kharagpur. During the academic year, I spent the majority of my time engaging in coursework, hackathons, and extracurricular activities that bridge the gap between quantitative and qualitative learning. I am looking to work in a field that utilizes the programming, critical thinking, and research skills that I have gained during my college years and professional experience.
My research interest includes machine learning, reinforcement learning, natural language processing, and computer vision. I am particularly interested in research that explores how reinforcement learning algorithms coupled with the predictive power of deep neural networks can be used to create innovative applications in operation research, computational biology, conversational intelligence, and computer vision.
My most rewarding experiences have involved applying data science principles to solve business cases, which led me to my intended area of study. See the Projects section of this site for a few examples of my work!
• Leading Targets offer gamification loyalty program (Circle Bonus), with over 100 million customers using micro segmentation, past purchase behaviour, next basket size and game mechanics like motivation & game flow to delight guests.
• Analysed customer onboarding journey to increase conversion using Natural language processing - gensim LDA topic modeling on pending tickets text data and developed interactive TAT visualization with plotly sankey.
• Optimised organization hierarchy to reduce operations cost and increased productivity with different growth & compensation strategies using DI graph NetworkX and PySim
• Developed a New Business profit prediction model with GBM regression, to reduce valuation TAT
• Trained model on 3 million+ samples achieving R2 of 0.991 on test sets and exposed the model in production using Fast API.
• Used SHAP for feature attribution, model debugging & created visualization dashboard using Streamlit.
• Optimised Asset Portfolio using Scipy minimise (SLSQP) and reduced run-time by 94% using numba (jit compiler).
• Developed Profit-Loss simulation model using monte carlo & poisson distribution on customer mortality.
• Developed a Face recognition system to reduce fraud in virtual customer onboarding with DeepFace embeddings.
• Trained a CNN model for anti spoofing and deployed the model as a service using docker and ECS.
• Designed and developed the serverless architecture of Lead allocation and Route optimisation app on AWS Data Lake using Lambda, DMS, Dynamodb, Step Function, ECR, ECS, S3, etc.
• Developed ETL pipeline for processing KYC details of customer documents using OCR (Tesseract), deployed with S3 on AWS.
• Developed an Email classification model with 92% accuracy to predict the action on ticket using Natural Language Processing & word-to-vec.
• Developed a Medical Risk classification model with Costly Features using Deep Reinforcement Learning (DDQN algorithm) achieving above 91% accuracy
• Identified & extracted 10 million+ records from Oracle SQL database using Apache Flink Java via JDBC
Graduated with a Cumulative GPA : 7.7/10.
Relevant Coursework : Programming & Data Structures, Probability - Mathematics 1 & 2, Image Processing & Remote Sensing, Economics Micro & Macro.
Extracurricular : Sponsorship Head Spring Fest, Web Head SSAP ARP, Lead National Service Scheme Unit - 5.
Recipient of Merit Cum Means Scholarship provided by the Government of India for Academic excellence.
Percentage : 88.7% in XII (AIISCE).
Cum GPA : 9.8 in X (AISSE-CBSE)
Received Merit Certificate from CBSE for prolific academic performance in AISSE &AISSCE in 2011 & 2013.
Below you can find some of the projects I’ve done during my work and studies.