Hello, I am Arpan Surin

I am a Data & Business Analyst from India.

transforming messy, unstructured datasets into clear narratives that drive business decisions.

With a technical foundation in Computer Science and AI/ML from SRM Institute of Science & Technology, I bring an advanced algorithmic lens to traditional data analytics. I don’t just report numbers; I uncover the "why" behind the trends to help organizations navigate complex business challenges with precision.

View Resume | LinkedIn | GitHub | Gmail

Technical & Professional Skills

SQL

Data Pipeline

Python

GitHub

Excel

Docker

PowerBI

Machine Learning

Featured Projects

Driver Earnings & Performance Analytics

PostgreSQL | Power BI

An interactive dashboard designed to understand DAX functions and driver revenue distribution across different cities, earning segments (active vs at risk) and also the driver count.

Project summary

GitHub - ArpanSurin/Drivers-earning-performance-and-risk-analysis

Hotel Revenue Analysis

Power BI | SQL Server

This project analyzes historical hotel booking data to understand revenue performance across years and compare City Hotels vs Resort Hotels. The analysis was performed using SQL Server, and insights were visualized through an interactive Power BI dashboard.

Project Summary

GitHub - ArpanSurin/Hotel-Revenue-Analysis: This is a basic power bi project created to understand dashboard creation & derive revenue insights

Experience

EduSkills Internship

Altair: Data Science | Virtual

July 2025 - September 2025

• Applied data preprocessing, visualization and model evaluation techniques using real world datasets.

• Built predictive models and conducted feature engineering workflows to solve analytical problems.

• Designed and executed basic pipelines on structured and unstructured data using the Altair platform

    **[Certificate of completion](<https://drive.google.com/file/d/1GKVMMU45pAxeaJUNjWhJlPXvgLG-xICF/view?usp=sharing>)**
  

EduNet Internship

TechSakhsham: Transformative AI | Virtual

February 2025 - March 2025

• Built an AI-powered fitness tracker in python to predict calories burned on user inputs.

• Applied statistical modelling and data visualization to analyze exercise and health data.

• Integrated a Gen AI (groq) model for personalized fitness and nutrition recommendations.

   [Certificate of completion](<https://drive.google.com/file/d/1w9_bv5c-Vpe9DlVlRsrWCb-p-Q2UqEbu/view?usp=sharing>)
  

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