Abhishek B S

Data Scientist

https://talent.gravityer.com/abhishek-b-s

Python | Machine Learning | MITE

Mangalore, Karnataka, India

Key Strengths

Demonstrated interest in Data Science through personal projects like 'Vibe-Matcher-Prototype', 'K-means', 'Trip-Craft', 'Univariate-Decision-Tree', and 'Aerial-Disaster'.
Experience with Python for data-related tasks and machine learning algorithms.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to AI agent systems using LangGraph and LangChain (Trip-Craft project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning approach and an interest in diverse applications of data science and web development. The variety of projects, from basic web development to more complex AI agent systems, suggests adaptability and a willingness to explore different technologies. The focus on personal projects indicates self-motivation, which can be a positive cultural fit for roles requiring independent problem-solving.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

bike-petrol-tracker

May 6, 2026 – Present

bike-petrol-tracker — GitHub repository

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Portfolio

February 3, 2026 – Present

Portfolio — GitHub repository

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Trip-Craft

November 15, 2025 – Present

TripCraft - Multi-AI Agent Travel Planner An intelligent travel itinerary planning system built using LangGraph and LangChain, powered by the Groq LLM API. This multi-agent system creates personalized day trip itineraries based on user preferences.

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Vibe-Matcher-Prototype

November 10, 2025 – November 10, 2025

Vibe-Matcher-Prototype — GitHub repository

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Data-Professional-Survey

August 3, 2025 – August 6, 2025

Data-Professional-Survey — GitHub repository

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Aerial-Disaster

July 11, 2025 – July 11, 2025

Aerial-Disaster — GitHub repository

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demo1-sw

May 20, 2025 – May 20, 2025

demo1-sw — GitHub repository

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K-means

October 7, 2024 – October 7, 2024

K-means — GitHub repository

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Univariate-Decision-Tree

September 23, 2024 – September 23, 2024

Univariate-Decision-Tree — GitHub repository

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Receipt-management-system

September 21, 2024 – September 21, 2024

A Receipt Generator built using Python! This project leverages object-oriented programming (OOP) concepts to handle itemized purchases, calculate totals, and apply discounts and taxes.

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'Vibe-Matcher-Prototype', 'K-means', 'Trip-Craft', 'Univariate-Decision-Tree', and 'Aerial-Disaster'.
Experience with Python for data-related tasks and machine learning algorithms.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to AI agent systems using LangGraph and LangChain (Trip-Craft project).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Abhishek B S

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit