𝐊𝐨𝐫𝐢 𝐆𝐚𝐧𝐞𝐬𝐡

Data Analyst

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Expert in revenue and market performance analytics.
Proficient in SQL, Power BI, and Python for data analysis.
Skilled in translating data into actionable business insights.

Stackforce AI infers this person is a Data Analyst specializing in SaaS revenue analytics.

Contact

Skills

Core Skills

Data AnalyticsPower Bi

Other Skills

Microsoft ExcelMySQLSQLExcelPython (Programming Language)

About

I’m a Data Analyst specializing in revenue and market performance analytics. I have worked with datasets exceeding 1M+ records to identify revenue concentration risks, margin-performance gaps, and regional growth opportunities that influence strategic business decisions. I use SQL for large-scale data extraction and transformation, Power BI (DAX & data modeling) for KPI tracking and revenue reporting, and Python (Pandas, NumPy) for exploratory analysis and trend identification. My work focuses on uncovering market-level insights, analyzing sales efficiency, and translating raw transactional data into clear, decision-ready business intelligence. I am currently seeking Data Analyst roles where I can contribute to revenue analytics, market performance evaluation, and data-driven growth strategies while continuing to strengthen my expertise in SQL, Power BI, and applied business analytics.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Codebasics (data analytics program)

Data Analyst Trainee

May 2025 – Jul 2025 · 2 mos · Remote

Business Insights 360 project bullets
Addressed reporting limitations in a simulated multi-regional business case where Excel-based reporting lacked scalability and cross-functional visibility during international expansion
Built an end-to-end Power BI solution using 1.4M+ records from finance, sales, marketing, and supply chain datasets; cleaned and transformed data in Power Query, designed a star-schema model, and developed DAX measures for structured KPI tracking
Analyzed Net Sales, GM%, and regional performance patterns to evaluate growth vs profitability trade-offs and recommend data-driven market focus strategies
Identified operational risks including a −$347.69M net variance and 82.17% forecast accuracy, highlighting supply chain inefficiencies and demand planning gaps

Microsoft ExcelMySQLPower BISQLData Analytics