Yash Upadhyay

Data Scientist

https://talent.gravityer.com/yash-upadhyay

🎓 B.Tech Student | 💡 Data Science Enthusiast | 🤖 Machine Learning Explorer 📊 Turning raw data into real-world solutions | 🚀 Actively seeking 2025 intern

Noida, Uttar Pradesh, India

Key Strengths

Strong foundational knowledge in Python for data science and machine learning.
Demonstrated ability to build end-to-end data science projects, including NLP and algorithmic trading.
Experience with MLOps concepts through Dockerfile usage in projects.
Practical application of NLP (FinBERT, spaCy) for sentiment analysis and resume parsing.
Exposure to web technologies (FastAPI, HTML, JavaScript, CSS) for deploying data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong inclination towards personal projects, many of which are open-source or provide free alternatives to commercial tools. This suggests a collaborative and community-oriented mindset. The diversity of projects, from financial analysis to resume optimization, indicates adaptability and a broad interest in applying data science to various domains. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit in a corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed individual capable of independent project execution.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Resume-GPT

April 22, 2026 – Present

ResumeGPT - AI Resume Analyzer & ATS Booster Analyze resumes against job descriptions, simulate 6 ATS platforms, track A/B tests, and generate AI cover letters. Built with: Python, FastAPI, spaCy Free alternative to paid tools ($29-50/mo)

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Vyapar-RL

April 2, 2026 – Present

Vyapar-RL — GitHub repository

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AI-Powered-Algorithmic-Trader

January 15, 2026 – Present

An automated pipeline that scrapes Economic Times, uses NLP to filter for market-moving news, and emails an HTML report to clients daily.

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Vyapar

November 21, 2025 – Present

Vyapar — GitHub repository

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Sentilyze

October 11, 2025 – Present

End-to-end stock sentiment analysis & momentum prediction system using NLP (FinBERT) and technical indicators.

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CAPIS

October 8, 2025 – October 11, 2025

CAPIS — GitHub repository

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github-profile-readme-generator

June 26, 2025 – August 16, 2024

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

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Python-mini-projects

June 15, 2025 – Present

Python-mini-projects — GitHub repository

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data-science-projects

June 14, 2025 – September 2, 2025

: My beginner data science projects

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yash6810

April 10, 2025 – Present

Readme file

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Key Strengths

Strong foundational knowledge in Python for data science and machine learning.
Demonstrated ability to build end-to-end data science projects, including NLP and algorithmic trading.
Experience with MLOps concepts through Dockerfile usage in projects.
Practical application of NLP (FinBERT, spaCy) for sentiment analysis and resume parsing.
Exposure to web technologies (FastAPI, HTML, JavaScript, CSS) for deploying data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed individual capable of independent project execution.

Yash Upadhyay

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit