Bhavesh Wadibhasme

Data Scientist

https://talent.gravityer.com/bhavesh-wadibhasme

Data Scientist

T- Systems

Key Strengths

Demonstrated interest in Data Science and AI through numerous personal projects.
Experience with various AI/ML sub-fields including NLP, Computer Vision, Generative AI, and Recommendation Systems.
Proficiency in Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on individual technical exploration in AI/ML. While this demonstrates initiative, there is limited evidence of collaborative projects or diverse team-oriented work. The current role as 'Data Scientist' at T-Systems aligns with the target role, but the start date in 2026 suggests this is a future or placeholder entry, making current professional experience unclear. The breadth of skills is good within the AI/ML domain, but lacks diversity in other areas often required for senior roles (e.g., MLOps, cloud platforms, distributed systems).

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Projects

Agentic-AI

June 1, 2025 – July 2, 2025

This repository contains the implementation and documentation of Afentic AI agents using LangGraph for agent workflows and LlamaIndex for data retrieval. It showcases modular, extensible designs for building intelligent, context-aware agents powered by RAG and multi-step reasoning.

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Generative-AI

January 2, 2024 – February 7, 2025

Generative-AI — GitHub repository

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Computer-Vision

July 12, 2023 – July 28, 2023

This repository contain the verity of experiment scripts on computer vision.

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Github_actions_work

September 20, 2022 – September 20, 2022

This repository contain process to use github actions to build CICD

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HuggingFaceSpaces

August 27, 2022 – September 1, 2022

HuggingFaceSpaces — GitHub repository

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Advance-NLP

September 21, 2021 – July 2, 2025

Repository contain advanced NLP impementation.

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Neural-Machine-Translation

December 26, 2020 – December 26, 2020

Neural-Machine-Translation — GitHub repository

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race-detection

September 20, 2020 – October 1, 2020

race-detection — GitHub repository

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Image-classification-on-flower-dataset

January 7, 2019 – May 10, 2020

Implementation of CNN on flower dataset in python using keras

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Music_recommendation_system

December 12, 2018 – May 16, 2020

This repository contain source code of model to generate music recommendations using machine learning methods.

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Key Strengths

Demonstrated interest in Data Science and AI through numerous personal projects.
Experience with various AI/ML sub-fields including NLP, Computer Vision, Generative AI, and Recommendation Systems.
Proficiency in Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Bhavesh Wadibhasme

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit