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🧠 Building with LLMs, LangChain, and AI agents. 📊 Data Analyst @ EXL | Building scalable analytics for healthcare data. 🚀 Exploring intelligent systems.
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EXL
Data Scientist
June 16, 2026 – Present
Student_Performance_Prediction_App
September 10, 2025 – September 13, 2025
This project is an end-to-end machine learning pipeline for predicting student performance based on demographic and academic features. It includes data ingestion, preprocessing, model training, evaluation, and a Flask web interface for making predictions.
View ProjectLangAgentX
June 14, 2025 – June 15, 2025
LangAgentsX delivers intelligent, multi-source answers through agent collaboration.
View ProjectDL_For_Sequential_Data
March 1, 2025 – June 16, 2025
This repository contains materials from a guest lecture on deep learning models for sequential data, including implementation code.
View ProjectLooksee
October 11, 2022 – October 11, 2022
Developed a deep learning model to measure the spatial support of a particular class in each ads. Used saliency mapping technique to find the contribution of each elements in both image and video ads.
View ProjectIntelligent-Automation
October 11, 2022 – October 12, 2022
Developed a reinforcement learning agent to perform automation testing on websites. Used Q-Learning to train a RL agent to test various components of a web-page and log them as test cases. The APIs are built using FastAPI.
View ProjectBig-data-performance-comparision
July 31, 2022 – July 31, 2022
The Big data analysis has become ubiquitous requirement for various industries to full fill those requirement and large number of use cases Machine Learning technique can be used. The term “Big data” describes scenario where the data is in large volume, So it takes more time for processing and model fitting for any kind of machine learning algorithm. The ultimate aim is to find the hidden trend in the big data using clustering technique in machine learning. This Big data is processed in different frameworks (i.e) Pyspark, Tensorflow, Scikit-Learn for making efficiency and time comparison measures, because each of these frameworks follow different architectures to store and process the data. K-Means, an unsupervised Machine Learning algorithm has been implemented in all these different frameworks and their efficiency in finding the nature of the bitcoin heist are evaluated.
View ProjectFastAPI
June 25, 2021 – June 30, 2021
The goal of the projects was to understand the intricacies of FastAPI
View ProjectVirus-Data-Analysis
January 1, 2021 – January 2, 2021
A Predictive model that finds the growth pattern COVID-19 virus and predicts the future number of cases affected by the virus by using a time series forecast module called fbprophet
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on data science and machine learning, aligning well with a Data Scientist role. The diversity of projects, from deep learning models for ad analysis to reinforcement learning for automation testing, indicates a broad interest and adaptability. However, the experience level is listed as 0, which contradicts the current role at EXL, suggesting potential data inconsistency or a very recent start. This makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.