PROFESSIONAL SUMMARY

A versatile Diploma in Computer Science student with skills in both full-stack development (Python, Flask) and data analysis (Pandas, Seaborn). Proven ability to develop practical applications like an inventory management system and conduct in-depth EDA on vendor and app store data. Seeking a challenging internship where I can contribute to both development and data-driven decision-making.

PROJECTS

1. FluxStock - Smart Inventory Tracker

Tech stack: Flask, Python, MySQL(Database Management)
  • •Smart Inventory Tracking: FluxStock is a full-stack inventory management system that tracks raw materials, semi-finished, and finished products with real-time stock levels, low-stock alerts, and automated SKU generation.
  • •Production Management with BOM Integration: It supports production workflows by using Bill of Materials (BOM) to manage inventory deductions and ensure completeness before manufacturing semi-finished or final products.
  • •User-Friendly Web Dashboard: Built with Flask, HTML/CSS, and SQL backend, it features a responsive dashboard to view inventory summaries, add/edit/delete items, and manage production seamlessly from the browser.

    • 2. Viatica - Hospital Management System

  • •API Development: Designed and developed RESTful APIs using Flask to manage hospital data, including patients, doctors, and appointment records.
  • •Data Handling & Security: Implemented secure CRUD endpoints with robust input validation, structured error handling, and relational SQL database integration to ensure data integrity.
  • •Performance & Integration: Optimized API structure and response models for faster data retrieval and seamless integration with frontend interfaces and third-party systems.

    • 3. Google App Store EDA

    Tech stack: Python, Pandas, Matplotlib, Seaborn, Google Colab, PowerBI
  • •Data Cleaning & Preparation: Handled missing values, standardized data types, and transformed categorical variables for analysis.
  • •Insightful Visualizations: Created plots using Matplotlib and Seaborn to explore relationships between app category, ratings, reviews, installs, and pricing.
  • •Actionable Insights: Identified top-performing app categories, correlation between reviews and ratings, impact of app size on downloads, and monetization trend
    • SKILLS
    Python|MySQL|Flask|Pandas|Matplotlib|Excel|Github|Java|Html|RESTful APIs|NumPy
    EDUCATION

    Diploma in Computer Science

    Delhi Skill and Entrepreneurship University
  • •Current overall cgpa: 8.1
    • 08/2023 – 2026New delhi, India