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nashish109/README.md

Hi 👋, I'm N. Ashish

A passionate Software Engineer and Data Storyteller.

🧑‍💼 Work Experience

DTCC Logo

IT Intern @ DTCC

Duration: May 2025 – July 2025
Location: Chennai, Tamil Nadu

  • Worked on database management for trade reconciliation systems
  • Developed frontend interfaces using Angular
  • Collaborated with teams to integrate backend and frontend
  • Maintained and troubleshooted system performance
  • Documented processes and contributed to codebase

💡 About Me

  • Data Enthusiast skilled in storytelling through analytics and dashboards
  • Recently interned at DTCC, working on:
    • Frontend development with Angular
    • Database management and trade reconciliation systems
  • Proficient in Python, C++, and R
  • Experienced with Power BI, Tableau, SQL, and data visualization
  • Hands-on with GCP and Azure cloud platforms
  • Interested in FinTech, fraud detection, and predictive analytics
  • Music and code keep me grounded — I’m a national-level Carnatic vocalist
  • I bring the same focus to life and sport — an avid badminton player

Connect with me:

CodeChef HackerRank LeetCode LinkedIn Medium Instagram Reddit Kaggle X


Languages and Tools:

Python R C C++ JavaScript Java React Express.js Node.js MongoDB MySQL PostgreSQL Bootstrap Azure AWS VS Code Power BI Postman Git


📊 My GitHub Stats


🏆 GitHub Trophies

GitHub Trophy

⚡ “I see every dataset as a puzzle waiting to be solved—give me data, and I’ll craft a story!”

Pinned Loading

  1. esg_builder esg_builder Public

    Python

  2. Movie_Boxoffice_Predictor Movie_Boxoffice_Predictor Public

    This project uses past movie data to predict how much money a movie might make at the box office. It cleans and analyzes the data, builds a prediction model, and creates easy-to-understand charts a…

    Python

  3. nashish109 nashish109 Public

    Hi, I’m N. Ashish — a Computer Science student who’s passionate about building meaningful tech. From full-stack development to data-driven solutions, I enjoy creating tools that solve real problems…

  4. smart-ecommerce-fraud-detection smart-ecommerce-fraud-detection Public

    AI-powered system to detect fraudulent transactions in e-commerce using machine learning. Includes data preprocessing, feature engineering, and classification models like Random Forest and XGBoost.…

    Jupyter Notebook