Rishu Kumar

Data Analytics-focused B.Tech student at IIT Jodhpur

Jodhpur, Rajasthan, India

@rishu_kumar1

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🎓 B.Tech in Bioscience and Bioengineering at Indian Institute of Technology Jodhpur · Graduating 2028

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About

Undergraduate at IIT Jodhpur with hands-on experience in Python, SQL, Power BI, Advanced Excel, and end-to-end data pipelines. Built data analytics and software projects involving EDA, relational databases, REST APIs, and interactive dashboards.

Experience

Data Analytics & Software Development Intern

Bold Analytics

Apr 2026 – Jun 2026

Education

B.Tech in Bioscience and Bioengineering

Indian Institute of Technology Jodhpur

Bioscience and Bioengineering · 2024 – 2028

Skills

Projects

CERP – Campus Engagement & Research Portal

React, Node.js, SQLite, Docker, Python NLP

Engineered a scalable full-stack management platform featuring secure JWT authentication and role-based access control (RBAC). Integrated an automated Python NLP classification pipeline to categorize incoming institutional emails, accelerating sorting speed by 40%. Containerized microservices using Docker to establish isolated, reproducible runtime environments for seamless production deployment.
WhatsApp Chat Analytics Engine

Python, Pandas, RegEx, Streamlit, Matplotlib, Seaborn

Architected an analytical pipeline processing 50,000+ unstructured WhatsApp raw message strings using optimized RegEx parsing patterns and Pandas vectorization. Extracted time-series engagement metrics, user activity trends, and message frequency patterns, cutting processing overhead by 50%. Developed an interactive Streamlit web dashboard featuring custom Matplotlib/Seaborn data visualizations for exploratory statistical analysis.
E-Commerce Sales Insights Dashboard

Power BI, SQL, DAX, Data Modeling, Advanced Excel

Built an interactive multi-page Power BI sales dashboard analyzing transactional sales metrics, dynamic revenue trends, and customer buying profiles. Engineered custom DAX calculated measures, KPI indicators, dynamic slicers, and cross-filtering mechanisms to accelerate executive decision-making. Applied SQL queries and data modeling techniques to aggregate, clean, and structure raw relational transactional data for reporting.

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