Headline

Data Analyst | SQL, Power BI & Python | Turning Raw Data into Revenue-Driving Insights | Open to Data/Business Analyst Roles

About

Numbers don't lie — but they also don't speak for themselves. That's where I come in. I'm a Data Analyst who turns messy, real-world datasets into dashboards and decisions. Over the past two years, I've worked across freelance analytics, internships, and software engineering to build a genuinely full-stack view of data: how it's collected, how it flows through systems, and how it gets turned into insight that non-technical stakeholders can actually act on. What I bring to the table: 📊 SQL & Python for data extraction, cleaning, and analysis — comfortable with joins, aggregations, and building repeatable analysis pipelines 📈 Power BI & Tableau dashboards that replace static reports with real-time, interactive views — I've cut reporting turnaround from days to minutes for clients 🔍 A quality-first mindset — I've run data validation and quality checks that materially improved dataset reliability before analysis even started 💡 Business translation — I don't just deliver charts, I deliver KPIs and recommendations decision-makers can use immediately A few things I'm proud of: → Analyzed sales data for an international (Lisbon-based) client, contributing to a 12% increase in quarterly sales → Built Power BI dashboards that moved reporting from a multi-day manual process to real-time visibility → Improved demand forecasting accuracy by ~25% using basic predictive modeling → Ran trend analysis across 8 months of call-center operations data during a PwC virtual case experience, surfacing a lunch-hour abandonment spike that led to actionable staffing recommendations My background isn't purely analytics, either — before this, I worked as a Software Engineer building backend APIs and databases (Node.js, MySQL, MongoDB), which means I understand data at the source, not just in the dashboard. That's a perspective a lot of analysts don't have, and it's shaped how I think about data quality and pipeline design. I hold Google's Data Analytics certifications and I'm continually sharpening my SQL, Power BI, and Python skills to stay ahead of what modern analytics teams need. Currently exploring Data Analyst, Business Analyst, and BI Analyst roles where I can bring this mix of technical depth and business translation to a team that wants data to actually drive decisions — not just report on them. 📩 Open to connecting — harshilvadsara@gmail.com

Location

Gandhinagar

Work experience

Data Analyst (Freelance) at Freelance, Dec 2024 - Present · 1 yr 8 mos, Remote, - Partnered with an international (Lisbon-based) e-commerce client to analyze sales datasets using SQL and Python, uncovering purchasing trends that contributed to a 12% increase in quarterly sales - Built and deployed interactive Power BI dashboards that eliminated manual report compilation, cutting turnaround time from multiple days to real-time - Designed basic predictive demand-forecasting models, improving forecast accuracy by approximately 25% and reducing stockout/overstock risk - Translated ambiguous business requirements into clear, trackable KPIs and visual reports, enabling faster decision-making for non-technical stakeholders

Data Analyst Intern at KultureHire, Jun 2024 - Jul 2024 · 2 mos, Remote, - Analyzed Gen Z survey data using SQL joins and aggregate functions to extract career-preference insights across a multi-hundred-respondent dataset - Designed and distributed a Google Forms survey instrument to capture Gen Z career goals and learning preferences, improving data collection structure - Built dynamic Excel and Power BI dashboards using Pivot Charts and Slicers, enabling filtering across sales, customer relations, and finance domains for stakeholder self-service

Data Analyst Intern at PwC Virtual Case Experience (Sweden), Mar 2024 - Apr 2024 · 2 mos, Remote, - Performed systematic data quality checks and validation on call-center datasets, improving downstream analysis reliability - Conducted trend analysis across 8 months of operational data using Excel and SQL, identifying a recurring spike in call abandonment during lunch hours - Delivered data-driven recommendations for operational staffing improvements based on identified call-volume patterns

Software Engineer at Hyperlink Infosystem, Jan 2023 - Jul 2023 · 7 mos, Ahmedabad, - Built and shipped backend RESTful APIs using Node.js and Express.js, enabling seamless frontend-backend data integration - Designed and optimized MySQL and MongoDB database schemas to support efficient data storage and retrieval - Supported internal reporting workflows through data extraction, validation, and structuring, bridging engineering and analytics needs

Education

Master's degree, Information Technology, Gujarat University

Bachelor's degree, Chemistry, Gujarat University