HS

HARSH SANCHANIYA

MSc Data Science student · Data Analyst Intern

Bengaluru, India

@harsh_sanchaniya

0 followers

🎓 MSc Data Science at REVA University

About

MSc Data Science student at REVA University and BCA graduate with hands-on experience in SQL, Python, data cleaning, EDA, and data visualization. Currently completing a 3-month data analytics internship program and seeking a part-time, remote Data Analyst internship.

Experience

  • Data Analyst Intern
    Cynaris Solutions
    Oct 2026 – Dec 2026

    Part-time training program. Wrote SQL queries and completed advanced Pandas exercises to transform, clean and check the quality of datasets. Carried out an EDA workflow and created data visualizations to summarize findings. Published all exercises with code in a public GitHub repository.

Education

  • Bachelor of Computer Applications
    Computer Applications · 2023 – 2026
  • 12th
    Commerce · 2023
  • 10th
    2021
  • MSc
    Data Science · 2026

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
GitHub
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Vite Oracle Microsoft Office

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Gujarati Speak
Fluent Fluent Comfortable using it for work.
Hindi Speak English Speak

Projects

  • React, Vite, Framer Motion

    Deployed on Vercel. Built a responsive portfolio with a dark and light theme switcher and an interactive project showcase.

  • Face Recognition Attendance System
    Python, Flask, Pandas, NumPy, JavaScript, face-api.js, Chart.js

    Final Year Project. Processed student and attendance records with Pandas and NumPy; built a dashboard with Chart.js trend charts, month and date filters, and CSV export. Built a full-stack web app where students mark attendance by webcam; face-api.js extracts 128-dimensional face descriptors, matched by Euclidean distance (0.6 threshold). Implemented 10-image registration, session-based authentication, an admin panel, one-attendance-per-day prevention and time-restricted attendance windows.

Courses & certifications

  • GenAI for Proposal Generation Job Simulation · EAB · 2026
  • GenAI Powered Data Analytics Job Simulation · Tata iQ · 2026

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