Vinay Bajaj

Data Scientist

https://talent.gravityer.com/vinay-bajaj

Interested in Financial Markets

Delhi, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and model development.
Projects cover various aspects of data science, including web scraping, financial data analysis, credit risk analysis, sentiment analysis, and market segmentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong inclination towards independent learning and application of data science concepts. The diversity of projects suggests an exploratory and problem-solving mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit within a collaborative environment.

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

delta_exchange_watcher

May 21, 2026 – Present

This project is use to fill market orders for stoploss, take profit on single and combined premium for positions in delta exchange

View Project

Multi-Agent-Stock-Research-System

May 12, 2026 – Present

Multi-Agent-Stock-Research-System — GitHub repository

View Project

TickerTrace

July 31, 2025 – August 11, 2025

TradeReplay is an interactive Dash application for replaying intraday market data from a ClickHouse database. It allows users to visualize historical price action minute by minute, resample data (1min to 1hr), jump forward/back in time, and analyze live updating intraday metrics such as price change, volume extremes, and volatility.

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data-ingestion-tool

June 19, 2025 – October 14, 2025

An end-to-end data ingestion tool that fetches stock ohlcv data from API, preprocesses it and pushes to clickhouse database.

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Market_Segmentation

April 14, 2025 – April 14, 2025

Using transactional data to segment customers based on transactional, demographic behaviour via building K-Means clusering.

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AI-Text-Detector

April 20, 2024 – May 24, 2024

Checks whether the essay written by students is AI generated or self written

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Sentiment-Analysis

November 1, 2023 – November 4, 2023

Analyse user text sentiment : positive, negative, neutral

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Credit_risk_analysis

October 22, 2023 – April 17, 2025

Developed a machine learning model to analyze Lending Club loan data, identifying patterns and creating a predictive model for approved loans.

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Gait-analysis-in-Parkinsons-disease

September 20, 2023 – September 20, 2023

Gait-analysis-in-Parkinsons-disease — GitHub repository

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Automating-Webscraping-Instagram

May 29, 2023 – May 29, 2023

It webs crapes data from instagram

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and model development.
Projects cover various aspects of data science, including web scraping, financial data analysis, credit risk analysis, sentiment analysis, and market segmentation.

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.

Vinay Bajaj

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit