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  • Pune
  • 06:44 (UTC -12:00)

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ajit-110920/README.md

Ajit — Neural systems in progress

LinkedIn Profile views

SYSTEM / AJIT — Computer Engineering student exploring the space between data, models, and reliable products.

Animated neural network visualization

01 / Signal

I am a Computer Engineering student in Pune, building toward machine-learning engineering through hands-on projects. My current work combines data cleaning, exploratory analysis, classical machine learning, and practical deployment. The goal is simple: turn a useful model into a product someone can actually use.

NOW EXPLORING  →  scikit-learn • data workflows • AWS deployment • DSA
BUILD MODE     →  Python systems with clear, testable data paths
NEXT HORIZON   →  ML engineering that ships real products

02 / Build Log

Project Mission Working stack
Diabetes Prediction System Make an ML prediction accessible through a real-time web application. Python · Pandas · scikit-learn · Streamlit · AWS
Credit Card Fraud Detection Explore transaction data and identify suspicious activity with ML models. Python · data cleaning · machine learning
Data Analysis Projects Turn raw datasets into clear visual stories and actionable observations. Pandas · Matplotlib · Seaborn

03 / Toolchain

Python, C, C++, MySQL, Git, GitHub, VS Code, AWS, Linux

Data & ML / Python + pandas + scikit-learn    •    Foundations / C, C++, DSA    •    Delivery / Git, AWS, Linux

04 / GitHub Pulse

GitHub profile pulse: public repository and recent activity metrics

Generated from public GitHub data by this repository’s scheduled workflow. Last refresh is embedded in the card.

05 / Learning Queue

[ACTIVE]  Machine learning with scikit-learn
[ACTIVE]  AWS deployment
[ACTIVE]  Data structures & algorithms
[LOADING]  Production-minded backend and data systems

Build carefully. Learn in public. Make the next model useful.

Profile automation & configuration

.github/workflows/refresh-profile.yml refreshes assets/github-pulse.svg every Monday and can also be run manually from the Actions tab. It uses the repository’s automatically provided GITHUB_TOKEN; no custom secret or third-party API key is required.

For the workflow to commit its updated card, enable Settings → Actions → General → Workflow permissions → Read and write permissions in this repository. The workflow is deliberately configured to make a commit only when the generated SVG changed. To preview the same card locally, run node scripts/refresh-profile.mjs from the repository root. Set GITHUB_USERNAME only if you fork this profile repository for another account.

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