Shikhar

Data Scientist

https://talent.gravityer.com/shikhar

IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'Hybrid-RAG-System' and 'Video-Classification'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various machine learning techniques (HOG, SVM, RandomForest, Logistic Regression, CNNs) for video classification.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in areas like AI/ML and system simulation. The diversity of projects, from low-level C++ programming to web development (Zipper) and AI, suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The projects align with the target role of Data Scientist, indicating a focused interest.

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

Deployed-Convolutional-Neural-Network

February 16, 2026 – Present

Deployed-Convolutional-Neural-Network — GitHub repository

View Project

Video-Classification

February 16, 2026 – Present

Classify videos using various techniques and compare: 1. image based feature extraction like HOG used by SVM/RandomForest/LogisticRegresshion 2. DNN temporal learning with 2D/2+1D CNNs

View Project

Hybrid-RAG-System

February 1, 2026 – Present

Assignment 2 for 3rd sem M.Tech subject: Conversational AI

View Project

Simulator

November 8, 2017 – November 8, 2017

Simulates the micro-processing unit of a smart washing machine

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Assembler

November 8, 2017 – November 8, 2017

Assembler program in C

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Local-Movie-DB

November 7, 2017 – November 7, 2017

Local-Movie-DB — GitHub repository

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Zipper

April 21, 2017 – August 28, 2017

Location pointer which shortens geo coordinates

View Project

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'Hybrid-RAG-System' and 'Video-Classification'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various machine learning techniques (HOG, SVM, RandomForest, Logistic Regression, CNNs) for video classification.

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.

Shikhar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit