Keen interest in Data Science and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Publicis Sapient
Data Scientist
June 25, 2026 – Present
mit-rag-2026
April 10, 2026 – Present
Build a Retrieval-Augmented Generation system from scratch using LangChain, OpenAI, and ChromaDB.
View Projectneo4j-graphRAG-2024
November 15, 2024 – November 16, 2024
neo4j-graphRAG-2024 — GitHub repository
View ProjectODSC-conference-India-2020
November 17, 2020 – December 8, 2020
ODSC-conference-India-2020 — GitHub repository
View ProjectFlask-NGINX-Gunicorn-Docker-Kubernetes
October 10, 2018 – December 8, 2022
Step by step guide to deploy any machine learning prediction web API using Flask, Gunicorn, NGINX containerised in Docker on GCP Kubernetes engine.
View ProjectDetect-Facial-Features
November 22, 2017 – November 22, 2017
Code example demonstrating how to detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python
View ProjectCar-Damage-Detector
September 8, 2017 – February 2, 2023
Code example demonstrating how to detect damage intensity of a damaged car using deep learning
View ProjectFace-Recognition-using-Keras---Tensorflow
July 21, 2017 – July 21, 2017
Face recognition usiong keras and tensorflow
View ProjectFace-Recognition-using-dlib
July 21, 2017 – June 1, 2018
Face recognition using dlib libraries
View ProjectContextHealerAndroid
July 17, 2016 – December 15, 2022
Android app for context recognition
View ProjectCultural Fit Analysis
The candidate shows a strong interest in Data Science and Machine Learning, aligning with a target role in this domain. The projects are diverse within the ML/AI space, indicating a proactive learning attitude. However, all listed projects are personal, and there is only one current professional experience entry, which limits the assessment of team collaboration and broader cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.