About

Uzma Habeeba Shaik shaikuzma2023@gmail.com — +91-9392639916 — github.com/uzma-dev — linkedin.com/in/uzma-dev Vellore, India

Skills

JavaScriptReactNode.jsPythonTypeScriptHTMLCSSMongoDBSQLProblem Solving

Experience

  • Professional / Intern

    Company Name

    2023 – Present

    Key responsibilities and achievements.

    • Achievement 1
    • Achievement 2

Projects

• Built big

data platform to analyze brand reputation signals and sentiment trends.

• Implemented distributed data pipelines using PySpark for scalable processing.

• Implemented distributed data pipelines using PySpark for scalable processing.

• Tech

Python, PySpark, Streamlit ReflectAI — AI Interview Analysis System GitHub

• Developed AI

powered system analyzing candidate interview behavior and responses.

• Integrated speech recognition APIs and automated AI feedback generation.

• Integrated speech recognition APIs and automated AI feedback generation.

• Tech

Python, AI/ML, Speech APIs CreditAI — ML Credit Risk Prediction System GitHub

• Built machine learning platform for automated credit risk evaluation.

• Built machine learning platform for automated credit risk evaluation.

• Developed React + TypeScript dashboard with REST API backend for predictions.

• Developed React + TypeScript dashboard with REST API backend for predictions.

• Tech

ReactJS, TypeScript, Python

Experience SDE Intern — Jol Energy

Experience SDE Intern — Jol Energy

• Worked on AI

driven recruitment platform and screen

education scholarship program Leadership & Activities

education scholarship program Leadership & Activities

• Development Head — BIS Standards Club

Lead development initiatives for

projects related to product standards and compliance systems.

projects related to product standards and compliance systems.

• Publicity Head — IEEE MTT

S Student Chapter

Interests Artificial Intelligence Systems, Full

Stack Engineering, Distributed Data Processing, Machine Learning Pipelines, Algorithmic Problem Solving

Education

  • Technical Skills

    Institution

    Technical Skills

  • Languages: Python, Java, C++, JavaScript Frontend: HTML, CSS, ReactJS, TypeScript, Tailwind CSS Backend: REST APIs, Node.js fundamentals Databases: MongoDB, MySQL, SQLite, Supabase AI & Data: Machine Learning, PySpark, Pandas, Streamlit, scikit

    learn Tools: Git, Linux, VS Code, Postman, Shell Scripting Core CS: Data Structures, Algorithms, OOP, DBMS, Operating Systems, Computer Networks Problem Solving: 200+ DSA problems solved (LeetCode, HackerRank)

    Languages: Python, Java, C++, JavaScript Frontend: HTML, CSS, ReactJS, TypeScript, Tailwind CSS Backend: REST APIs, Node.js fundamentals Databases: MongoDB, MySQL, SQLite, Supabase AI & Data: Machine Learning, PySpark, Pandas, Streamlit, scikit-learn Tools: Git, Linux, VS Code, Postman, Shell Scripting Core CS: Data Structures, Algorithms, OOP, DBMS, Operating Systems, Computer Networks Problem Solving: 200+ DSA problems solved (LeetCode, HackerRank)

  • Projects RepuTrack — AI Reputation Intelligence Platform GitHub

    Institution

    Projects RepuTrack — AI Reputation Intelligence Platform GitHub

  • • Built big

    data platform to analyze brand reputation signals and sentiment trends.

    • Built big-data platform to analyze brand reputation signals and sentiment trends.

  • • Implemented distributed data pipelines using PySpark for scalable processing.

    Institution

    • Implemented distributed data pipelines using PySpark for scalable processing.

  • • Tech: Python, PySpark, Streamlit ReflectAI — AI Interview Analysis System GitHub

    Institution

    • Tech: Python, PySpark, Streamlit ReflectAI — AI Interview Analysis System GitHub

  • • Developed AI

    powered system analyzing candidate interview behavior and responses.

    • Developed AI-powered system analyzing candidate interview behavior and responses.

  • • Integrated speech recognition APIs and automated AI feedback generation.

    Institution

    • Integrated speech recognition APIs and automated AI feedback generation.

  • • Tech: Python, AI/ML, Speech APIs CreditAI — ML Credit Risk Prediction System GitHub

    Institution

    • Tech: Python, AI/ML, Speech APIs CreditAI — ML Credit Risk Prediction System GitHub

  • • Built machine learning platform for automated credit risk evaluation.

    Institution

    • Built machine learning platform for automated credit risk evaluation.

  • • Developed React + TypeScript dashboard with REST API backend for predictions.

    Institution

    • Developed React + TypeScript dashboard with REST API backend for predictions.

  • • Tech: ReactJS, TypeScript, Python

    Institution

    • Tech: ReactJS, TypeScript, Python

Contact