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Data Analyst with 3+ years in SQL, Power BI, & Python
Results-driven Data Analyst and Business Intelligence (BI) professional with 3+ years of experience in SQL Server, Microsoft Power BI (DAX), Microsoft Excel, and Python. Proven track record of building end-to-end BI solutions, automating ETL workflows, and delivering KPI dashboards that drive strategic decisions. Hands-on experience with Microsoft Azure services including Azure SQL Database, Azure Data Lake Storage Gen2, and Power BI Service deployment. Familiar with Agile/Scrum methodology and cross-functional delivery workflows. Strong analytical thinking, stakeholder communication, and data storytelling skills. M.Sc. Data Science – Symbiosis International University, Pune.
Symbiosis International (Deemed University)
Master of Science (M.Sc.) · Data Science
N/A – June 30, 2025
Savitribai Phule Pune University
Bachelor of Engineering (B.E.)
N/A – June 30, 2020
Maximize Market Research Pvt. Ltd.
Data Analyst
June 1, 2023 – Present
Pune, Maharashtra, India
Yoshops
Data Science Intern
December 1, 2022 – February 1, 2023
Pune, Maharashtra, India
Competitor Analysis Dashboard - Market Intelligence Report
June 18, 2026 – Present
Built an interactive Power BI dashboard for competitor benchmarking, analysing performance metrics, pricing trends, and market positioning across 8+ industry players. Applied DAX measures and data modelling to visualise competitor KPIs, enabling the research team to deliver strategic insights 50% faster compared to previous manual reporting methods. Translated qualitative market research data into structured visual BI reports, demonstrating strong analytical thinking and business intelligence reporting skills.
Sales Analytics & BI Dashboard - End-to-End Business Intelligence Solution
June 18, 2026 – Present
Designed and implemented a star schema data model in SQL Server, normalising a flat dataset into 4 relational tables (Customers, Products, Orders, Order_Items) with primary and foreign key constraints – demonstrating strong data warehousing and database design skills. Wrote advanced SQL queries using CTEs, Window Functions (RANK, DENSE_RANK, LAG, Running Totals), and multi-table JOINs to extract, validate, and stage KPIs before loading into Power BI – showcasing end-to-end data pipeline ownership. Developed 15+ DAX measures, including Total Revenue ($2.3M), Profit Margin %, Month-over-Month (MoM) Growth %, Year-over-Year (YoY) Growth %, Running Revenue Total, Average Order Value (AOV), RANKX Top 10 Customer Ranking, Category Contribution %, and Repeat Customer Rate using time intelligence functions (DATEADD, SAMEPERIODLASTYEAR). Designed a 3-page interactive Power BI dashboard (Sales Performance, Customer Analytics, Product Performance) with executive KPI cards, revenue trend analysis (current vs. previous year), regional map visuals, profitability segmentation, and dynamic slicers for Region, Segment, Year, and Month. Delivered actionable insights: identified high-revenue but low-margin segments, customer dependency risks (top 10 customers = 35%+ of revenue), and category-level profitability gaps – demonstrating strong data storytelling and business acumen. Migrated star schema to Azure SQL Database; deployed on Power BI Service with scheduled refresh; documented complete workflow (SQL scripts, data model, DAX measures) on GitHub – simulating a real enterprise cloud BI deployment pipeline.
View ProjectExecutive Market Dashboard - Watertube Boiler & Burner Industry
June 18, 2026 – Present
Created an executive-level Microsoft Excel dashboard analysing global market data across 6+ regions and 4 segments for a client-ready deliverable – demonstrating advanced Excel and data visualisation skills. Implemented Power Query workflows for data cleaning, transformation, and automated refresh – reducing manual data preparation time by approximately 40% and improving data accuracy. Developed interactive KPIs including market size, CAGR, and regional contributions; presented findings to client leadership, demonstrating strong presentation skills and stakeholder communication.
Deloitte Australia Data Analytics Job Simulation
Forage
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analytics to market intelligence and competitor analysis, shows a broad interest and ability to apply data analysis across different business contexts. Their current role as a Data Analyst and previous internship as a Data Science Intern align well with the target role, demonstrating a clear career path in data. The breadth of skills, including SQL, Power BI, Excel, Python, and Azure, indicates a versatile and adaptable professional who can contribute to various data initiatives.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as analytical thinking, problem-solving, communication, stakeholder management, and attention to detail, which are crucial for a senior Data Analyst role. Their experience in collaborating with cross-functional teams and presenting insights aligns well with operational requirements. The mention of Agile/Scrum methodology familiarity also indicates adaptability to modern development practices.