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Ram Singh Chaudhary

@ramsinghchaudhary

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Data Analyst turning messy data into actionable insights with SQL, Python, and Power BI.

India

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What I'm looking for

I’m looking for an entry-level role where I can build SQL/Python-driven analysis and Power BI dashboards, improve data quality through ETL and cleaning, and collaborate with stakeholders to deliver faster, more impactful decisions.

I’m a Data Analyst focused on transforming raw data into clear, decision-ready insights. I combine strong data cleaning and statistical analysis with data visualization to help teams move faster and with more confidence.

Through my retail sales dashboard project, I built an end-to-end Power BI solution analyzing 10K+ sales records across 4 regions and 5 categories—reducing manual reporting time by 40%. I also processed data with SQL and DAX to improve visibility and cut analysis turnaround time by 30%, designing 5+ DAX KPIs (Revenue, Profit, AOV, Margin) for real-time performance tracking.

I enjoy tackling real-world datasets, like standardizing 1,000+ Walmart records across 17 attributes to reach 98% accuracy and writing 25+ complex SQL queries (joins, CTEs, aggregations). I’m especially motivated by uncovering patterns—such as profit concentration trends and pricing inefficiencies—and communicating them with strong problem-solving and data storytelling.

Experience

Work history, roles, and key accomplishments

Walmart Sales Analysis

Walmart

Cleaned and standardized 1,000+ records across 17 attributes to reach 98% accuracy for reliable downstream analytics. Wrote 25+ complex SQL queries (joins, CTEs, aggregations) and performed EDA to identify top products and segments, uncovering pricing inefficiencies and optimization opportunities.

SQL PostgreSQL Data Cleaning data transformation SQL Joins Statistical Analysis

Retail Sales Dashboard

Retail Sales Performance

Built an end-to-end Power BI dashboard analyzing 10K+ sales records across 4 regions and 5 categories, reducing manual reporting time by 40% and speeding executive decision-making. Processed transactional data with SQL/DAX and designed 5+ DAX KPIs, adding interactive drill-down and slicer features for multi-dimensional analysis.