AI , ML and Self Driving Car Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Medical_ChatBot
November 16, 2025 – November 16, 2025
LLM + LanGraph + Pinecone + Flask + AWS
View Projectstreamlit-sign-language-translation
April 7, 2023 – April 7, 2023
streamlit-sign-language-translation — GitHub repository
View ProjectInstacart-Market-Basket-Analysis
March 31, 2021 – April 5, 2021
End to End case study based on Kaggle problem.
View ProjectSiamese-Neural-Networks-for-One-shot-Image-Recognition
July 24, 2020 – July 27, 2020
One Shot Learning Implementation
View ProjectUdacity-SCND-Programming-a-Real-Self-Driving-Car
May 2, 2020 – March 24, 2023
Capstone Project : In this project, we implement a Real Self Driving Car in python to maneuver the vehicle around the track while following the traffic rules.
View ProjectUdacity-SCND-PID-Control-Project
April 13, 2020 – April 16, 2020
Project 8 - In this project we will implement a PID Controller in C++ to maneuver the vehicle around the lake race track.
View ProjectUdacity-SDCND-Extended-Kalman-Filter-Project
March 19, 2020 – March 20, 2020
Project 5: In this Project , we build Extended Kalman Filter , to predict vehicle's position and velocity based on Lidar and RADAR data
View ProjectUdacity-ITSDC-Implement-A-star-route-planner
January 19, 2020 – January 20, 2020
In this project A* search Algorithm is used to implement 'Google Maps' style routing planning.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing heavily on machine learning, deep learning, and autonomous systems. While this aligns with a Data Scientist role, the lack of professional experience or diverse team projects makes it difficult to assess cultural fit comprehensively. The projects demonstrate a strong interest in cutting-edge AI/ML applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style in a team setting.