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MS (by research) @ IIIT Hyderabad
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IIIT Hyderabad
Data Scientist
June 20, 2026 – Present
LangGraph-Customer-Support-Chatbot-Complaints-Questions-
August 21, 2025 – August 21, 2025
An end‐to‐end, stateful customer support agent built with LangGraph + LangChain
View ProjectU3FQ_Age_as_features
January 3, 2024 – December 8, 2024
Age is just a feature: Introducing the U3FQ (Unified Tri-Feature Quality) Metric. We are using Age and face expressions as features to enhance quality assessment using a tri feature metric where matching score is main feature but age difference and expression similarity will be used for making it more robust for different face image.
View ProjectIIIT-H-Data-Analytics
December 8, 2023 – December 8, 2023
IIIT Data Analytics coursework by incorporating real-world datasets, emphasizing data visualization with tools.
View Projectpjswall.github.io
November 25, 2023 – December 15, 2023
pjswall.github.io — GitHub repository
View ProjectPredictive-Modeling-of-Location-Data
October 13, 2023 – October 13, 2023
This repository contains data and code for prediction of location specific data.
View ProjectVIDEO_KYC
July 28, 2022 – September 15, 2022
Video kyc project for helping INDIAN's in order to provide a faster KYC option rather than a manual KYC.
View ProjectMorphing
May 2, 2022 – Present
Separation of a morph image into its constituents ID's using GAN based approach with biometric loss function as a separation critic along with GAN loss and Pixel loss.
View Projecttext-gnn
April 16, 2022 – May 4, 2022
Classify the given text into the one of the lables by learning the given text
View ProjectVehicle-Counting
December 11, 2021 – March 8, 2022
The vehicle counting procedure offers accurate data on traffic flow, vehicle collisions, and traffic peak times on highways. Using digital image processing technologies on traffic camera video outputs is an acceptable strategy for achieving these goals. The Kalman filter is used to create a vehicle counter-classifier based on a mixture of video-image processing methods such as object detection, edge detection, frame distinction, and the Kalman filter. The proposed technique has been implemented using the Python programming language. The method's accuracy in vehicle counts and classification was assessed, yielding a classification accuracy of around 95% and a vehicle detection target error of about 4%. Vehicle Counting, Vehicle Detection, Traffic Analysis, Object Detection, Video-Image Processing are some of the terms used in this paper.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research-oriented and complex problem-solving in the Data Science domain. The diversity of projects, from vehicle counting to biometric morphing and customer support chatbots, indicates a broad interest in applying data science techniques. However, the projects are all personal, and there is only one current professional experience listed as 'Data Scientist' at IIIT Hyderabad with a future start date, which limits the assessment of real-world team collaboration and industry practices. The lack of diverse professional experience and a heavy reliance on personal projects might indicate a need for more exposure to collaborative, production-level environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.