Radha Prakash Nair.

1

Python
Project

About Me

Hi, I'm Radha Prakash Nair — a Computer Science graduate passionate about transforming data into actionable insights that solve real-world problems. I specialize in Python, SQL, Excel, and Power BI to turn complex data into clear solutions. With experience in business analytics and machine learning, I'm driven by the meaningful impact of data science and committed to ethical innovation. When I'm not analyzing data, you'll find me aquascaping or diving into thought-provoking fiction. I believe in using technology to create positive change while staying true to my values of sustainability and animal welfare.

Key Skills

Python

SQL

Advanced Excel

PowerBI

Effective Communication

Machine Learning

My Projects

Hospitality Revenue Analytics: AtliQ Grands

Domain/Function: Hospitality Analytics

My Experience

INFOSYS SPRINGBOARD

Remote

Data Analyst Intern (Internship) Oct 2024 - Dec 2024

Architected ETL pipelines to process 10,000+ multi-source city records, uncovering R&D–GDP patterns that enhanced strategic planning speed by 30%
Delivered actionable insights via interactive dashboards, influencing data-driven decisions across 7+ critical sectors.
Skills: Power BI, Python, Streamlit, Google Sheets, Agile Methodology, Stakeholder Presentation

KARUNADAU TECHNOLOGIES PRIVATE LIMITED

Bangalore

Machine Learning Intern (Internship) Oct 2023 - Nov 2023

Developed a machine learning pricing model achieving 90% accuracy for used car valuations, transforming manual assessment processes into data-driven insights
Delivered a PyQt-based application that eliminated 40% of manual pricing workflows, empowering dealerships with instant, accurate vehicle valuations Skills: Machine Learning, Python, PyQT

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Mail Me

[email protected]

https://www.linkedin.com/in/radhapnair/

GitHub

https://github.com/radhapnair

Python Project

Hospitality Revenue Analytics: AtliQ Grands

Domain/Function: Hospitality Analytics

Data-driven analysis of AtliQ Grands hotel chain performance across Indian markets, focusing on revenue optimization and market share recovery through comprehensive booking pattern analysis.

View Project
on GitHUB

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Project Details

Comprehensive revenue analytics for AtliQ Grands hotel chain facing declining market position. Analyzed multi-source booking data from direct website and third-party platforms across Indian markets. Key findings: Presidential suites lead with 59.30% occupancy, Delhi dominates with 61.51% occupancy rate, Mumbai leads total revenue, and weekend demand significantly outperforms weekdays. Applied statistical outlier detection, engineered performance metrics, and identified seasonal peaks. Delivered actionable recommendations including weekend revenue strategies and geographic expansion opportunities. Developed expertise in pandas operations, missing data strategies, multi-dataset integration, and business intelligence extraction.