Harsh Kumar Pandit

MERN Stack Developer | Data Science & Analytics | C++ | DSA


About Me


I am a motivated Computer Science student with a strong interest in full-stack web development and data-driven applications. I specialize in the MERN stack (MongoDB, Express.js, React.js, Node.js) and enjoy building scalable, user-friendly web solutions. Alongside this, I have a solid foundation in Data Science, including data analysis, visualization, and working with structured datasets, enabling me to design applications that are both interactive and insight-driven.

Skills

  • HTML
  • CSS
  • JavaScript
  • React.js
  • Node.js
  • MongoDB

Education

Year Degree Branch College
3rd year B.Tech CSE LPU

Projects

  1. Operating System Scheduling Visualizer

    • Built an interactive browser-based simulator implementing FCFS, SJF, Round Robin, and Priority Scheduling algorithms with complete execution logic written in JavaScript.
    • Designed a clean UI using HTML and CSS to visualize process flow, state transitions (Ready → Running → Completed), and dynamic execution movement in real time.
    • Calculated and displayed key metrics like waiting time, turnaround time, and Gantt charts for performance analysis.
    • Integrated Gantt chart visualization and automated calculation of turnaround time, waiting time, and average performance metrics to enhance clarity and learning effectiveness.

    Tech - HTML, CSS, JavaScript

  2. Tourism Data Analytics Dashboard

    • Built an interactive tourism analytics dashboard showcasing insights on Indian tourism trends and global tourism patterns, using authentic datasets sourced from the National Data and Analytics Platform (NDAP).
    • Performed EDA and preprocessing using NumPy and Pandas, and visualized insights with Matplotlib and Seaborn, improving analysis clarity by 45%.
    • Designed dynamic and visually intuitive dashboards to compare states, visitor count patterns, and year-wise growth, enabling better decision-making and trend exploration for stakeholders.

    Tech - Python (NumPy, Pandas), Matplotlib, Seaborn

Contact Me