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Data Analyst with 2+ years in data pipelines & business intelligence
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Data Analyst with hands-on expertise in end-to-end data pipelines - spanning ETL processing, data cleaning, statistical analysis, and executive-level BI reporting. Proficient in SQL, Python, Power BI, Tableau, and Advanced Excel, with a demonstrated ability to convert raw datasets into actionable business intelligence. Delivered projects that track $2M+ in revenue with measurable 25-60% efficiency improvements. Passionate about data storytelling, dashboard design, and enabling data-driven decision-making.
Rashtrasant Tukdoji Maharaj University (RTMU)
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2025
Government Polytechnic, Murtizapur (MSBTE)
Diploma · Computer Science
August 1, 2019 – June 30, 2022
Superstore Sales Analytics Dashboard
January 1, 2024 – June 1, 2026
Architected a multi-page Power BI dashboard tracking $2M+ in product sales, profit margins, and regional performance across 4 geographic segments, delivering real-time executive visibility. Engineered advanced SQL queries and Excel pivot table models to isolate the top 3 revenue-generating product categories and flag 2 chronically underperforming regions for corrective action. Designed an 8-KPI visualization suite—Total Sales, Profit %, Discount Impact, and Top-Selling Products—with drill-down interactivity and dynamic filter-based storytelling. Boosted stakeholder engagement by 30% and reduced ad hoc reporting requests by 40% by delivering self-service dashboard access to non-technical business users. Applied data governance best practices to standardize data definitions across 3 source systems, ensuring single-version-of-truth reporting for 5 business departments.
Financial Analytics Dashboard
January 1, 2024 – June 1, 2026
Spearheaded development of a financial BI dashboard visualizing revenue, expenses, profit trends, and budget variance across 12 months of transactional data sourced from MySQL. Implemented 15+ DAX formulas and time intelligence functions to automate dynamic YoY and QoQ comparisons, eliminating 8+ hours of manual calculation per reporting cycle. Conducted multi-period variance analysis and built a forward cash flow forecast model using 24 months of historical data, improving financial planning accuracy by an estimated 25%. Streamlined reporting workflows by consolidating 5 legacy spreadsheets into a single source of truth, reducing report preparation time by 60% and eliminating reconciliation errors. Delivered actionable cost-control insights to stakeholders by visualising budget overspend patterns, enabling targeted expense reduction initiatives across 3 departments.
Data Analyst Certification: Power BI, SQL, Advanced Excel, Tableau & Python for data cleaning, analysis, and visualization
ExcelR
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Microsoft Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience showcases a strong alignment with a data-driven culture, emphasizing actionable insights and efficiency improvements. Their work on diverse projects like 'Superstore Sales Analytics' and 'Financial Analytics' demonstrates adaptability and a broad application of data analysis skills. The use of various tools (Power BI, Tableau, SQL, MySQL, Python) and methodologies (ETL, data governance, statistical analysis) indicates a willingness to learn and apply a wide range of technologies, which is beneficial for cultural fit in a dynamic environment. The focus on reducing manual effort and improving accuracy suggests a proactive and value-adding mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in identifying underperforming regions and streamlining reporting workflows. Their focus on stakeholder engagement and reducing ad hoc requests indicates a client-centric and efficient operational approach. The ability to standardize data definitions points to a methodical and quality-oriented work attitude. However, without psychometric test results, a deeper assessment of logical reasoning, stress handling, and team collaboration is not possible.