Radha Prakash Nair

Bangalore

Summary

To pursue a mission of using data to generate valuable insights that drive human actions that promote a safe and sustainable world

Overview

year of professional experience

Certification

Work History

Data Analyst Intern

INFOSYS SPRINGBOARD

Remote

10.2024 - 12.2024

Architected ETL pipelines and dashboards to analyze 15+ city records, accelerating R&D-GDP across 7+ sectors.
Skills: Power BI, Python, Streamlit, Google Sheets, Agile Methodology, Stakeholder Presentation

Machine Learning Intern

KARUNADAU TECHNOLOGIES PRIVATE LIMITED

Bangalore

10.2023 - 11.2023

Developed a PyQt app with a Multiple Linear Regression model (90% accuracy) for used car pricing, reducing manual workflows and enabling instant valuations.Skills: Machine Learning, Python, PyQT

Education

Bachelor of Engineering - Computer Science

Visvesvaraya Technological University

Bangalore, Karnataka

05.2025

Skills

Python
SQL
Streamlit
Machine Learning
Power BI
Microsoft Excel

Google Workspace
Data Analysis
Data Cleaning
Exploratory Data Analysis (EDA)
Data Visualization

Certification

Data Analytics Essentials, Cisco, 06/01/25, Certification Link
Business Analysis & Process Management, Coursera, 06/01/25, Certification Link
Foundations of Cybersecurity, Google, 07/01/24, Certification Link

Projects

AgriSight Analytics Platform
Built crop recommendation models (88% accuracy) and Power BI dashboards by processing multi-source agri-data using EDA, ML, and Streamlit.
Skills: Pandas, Streamlit, Power BI, Machine Learning
🔗 GitHub

Business Insights Dashboard
Developed a unified Power BI dashboard for AtliQ Hardware, integrating 5 domains and 17 KPIs to drive faster strategic decisions.
Skills: Power BI, MS Excel, MySQL, DAX Studio
🔗 GitHub

Hospitality Revenue Analytics
Analyzed 10K+ hotel bookings to identify 61.5% occupancy gaps and uncover 59.3% premium potential using Python and Excel.
Skills: Python, Pandas, MS Excel
🔗 GitHub

AtliQ Hardware Data-Driven Market Insights
Optimized SQL workflows and resolved 10+ business queries using million-row datasets and advanced SQL techniques.
Skills: SQL Analytics (JOINs, CTEs, window functions)
🔗 GitHub

Timeline