👋 Welcome to my portfolio
I transform raw data into actionable insights — building dashboards, uncovering trends, and helping organizations make smarter, data-driven decisions.
Analyzed retail loan data to identify high-risk borrowers and default patterns. Built an interactive dashboard surfacing credit score distributions, default rates, and risk segments.
GitHub Repository
Sales performance dashboard analyzing revenue trends, top customers, and product performance. Tracked monthly KPIs and highlighted growth opportunities across segments.
GitHub Repository
Analyzed streaming content data to study genre distribution, ratings, and release trends. Visualized content diversity and audience preference patterns across thousands of titles.
GitHub RepositoryI'm Pratham Nagekar, an aspiring Data Analyst with a strong foundation in electronics engineering and a passion for turning complex datasets into meaningful stories.
My expertise spans SQL, Python, Excel, Power BI, and Tableau — tools I use to clean, model, and visualize data. I've worked with financial and sales datasets, building interactive dashboards that surface key KPIs and business trends at a glance.
I'm deeply interested in business analytics — understanding what drives performance, identifying risk patterns, and communicating findings clearly to stakeholders. I believe great analysis isn't just about numbers; it's about the story they tell.
Analyzed system performance data using SQL and Excel across 1000+ test cases, identified validation issues and error patterns, and supported engineering teams with structured reports and visualizations.
Coordinated community service programs, managed teams of 20+ students, and collaborated with faculty and external stakeholders to improve program execution.
Bangalore Institute of Technology. Focused on VLSI design, analytical thinking, and technical problem-solving.
Completed higher secondary education with a focus on Physics, Chemistry, Mathematics, and Biology.
Foundation in core academic subjects and early development of analytical skills.
Verified credentials from global programs and industry simulations
Completed Tata's GenAI-powered data analytics simulation, applying AI-assisted analysis to real business scenarios.
Completed McKinsey's Forward Program, developing skills in problem-solving, data-driven decision-making, and business strategy.
Successfully completed a 30-day internship on Embedded System Design at Pantech Prolabs India Pvt Ltd.
Completed an ESG-focused job simulation covering Environmental, Social & Governance analytics and responsible investment frameworks.
Participated in the Dubai One Million Prompts AI challenge, developing practical skills in generative AI and prompt engineering.
Common questions about my approach to data and analytics
My primary stack is SQL for querying and transforming data, Excel for quick exploration and pivot analysis, and Power BI for building interactive dashboards. I'm also building proficiency in Python (Pandas, Matplotlib) for more complex data wrangling tasks.
I follow a structured data cleaning process — checking for nulls, duplicates, inconsistent formats, and outliers before any analysis. I also cross-validate results against known benchmarks or alternative queries to confirm findings are consistent.
I start by understanding the business question — what decision needs to be made and what does success look like. Then I identify the relevant data, clean and analyse it, and translate findings into clear, actionable recommendations rather than just numbers.
I focus on the "so what" — not the methodology, but the business implication. I use clear visual dashboards in Power BI, avoid jargon, and lead with the key finding before diving into supporting details. The goal is a decision, not a data lecture.
Open to data analyst roles, freelance projects, and collaborations. Feel free to reach out!