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Data Analyst with 5+ years in Azure, Python & SQL
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Results-driven Data Analyst with 4+ years architecting high-impact analytics solutions for Fortune 500 enterprises. Proven track record delivering $64K+ in documented cost savings through advanced ETL automation and predictive modeling. Azure-certified specialist combining Python, SQL, and Power BI expertise to transform raw data into executive-ready insights that drive strategic decisions 25% faster. Known for engineering scalable data pipelines that improve accuracy by 35% while reducing manual workflows by 40%. Passionate about leveraging AI-driven analytics and cloud technologies to solve complex business challenges and unlock measurable ROI.
Ambalika Institute of Management and Technology
Bachelor of Engineering · Mechanical Engineering
August 1, 2016 – June 30, 2020
Infosys Limited
Senior Systems Engineer (Data Analyst)
March 1, 2024 – Present
Pune, Maharashtra, India
Infosys Limited
Systems Engineer (Developer)
March 1, 2021 – January 1, 2024
Pune, Maharashtra, India
E-Commerce Profitability Intelligence System
June 1, 2026 – Present
Engineered diagnostic Power BI dashboard using Star Schema architecture to resolve $64K annual loss mystery, integrating order and return data streams with 100% accuracy through advanced DAX calculations. Conducted statistical analysis revealing unauthorized 48% discount strategy in Southeast Asia via scatter plot correlation modeling, identifying margin erosion patterns invisible in traditional reporting. Delivered executive recommendations resulting in strategic budget reallocation from low-margin furniture to high-ROI technology products, protecting $64K+ in annual revenue.
View ProjectDigital Marketing ROI Optimization Platform
June 1, 2026 – Present
Restored data integrity for 50+ concurrent campaigns by developing Python data cleansing algorithms, successfully relinking 10,000+ corrupted user IDs to enable accurate multi-touch attribution modeling. Designed interactive Power BI analytics dashboard with relational modeling and DAX-driven funnel metrics, uncovering 8% higher conversion efficiency on Facebook versus Instagram campaigns. Optimized $2.5M marketing budget by identifying 82% higher CPA in seasonal campaigns, driving 20% reallocation strategy that reduced wasted spend by 15% while maintaining revenue targets.
Financial Risk Analytics & Credit Intelligence System
June 1, 2026 – Present
Built comprehensive Power BI risk dashboard for $435M loan portfolio using Star Schema modeling, processing 38,000+ applications to deliver real-time risk segmentation and default prediction analytics. Developed dynamic DAX-based KPI framework segregating 'Good' versus 'Bad' loan performance, uncovering 13.8% default rate concentrated in mid-tier grades with granular drill-down capabilities. Validated $473M recovery performance and delivered data-driven lending criteria recommendations, directly influencing risk mitigation strategies that reduced exposure in high-risk segments.
Azure Administrator (AZ-104)
Microsoft Azure
June 1, 2026 – Present
Azure Fundamentals (AZ-900)
Microsoft Azure
June 1, 2026 – Present
Azure AI Fundamentals (AI-900)
Microsoft Azure
June 1, 2026 – Present
Azure Data Fundamentals (DP-900)
Microsoft Azure
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce profitability to digital marketing ROI and financial risk analytics, demonstrates adaptability and a broad interest in applying data analysis across different business domains. Their role as a Senior Systems Engineer (Data Analyst) at Infosys Limited aligns directly with the target role, showcasing relevant professional experience. The breadth of skills, including Python, SQL, Power BI, DAX, and Azure certifications, indicates a strong foundation for contributing to diverse projects and teams. The recognition for cross-functional collaboration further supports a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by resolving a $64K annual loss mystery and optimizing marketing budgets. Their experience in collaborating with cross-functional teams and delivering executive recommendations indicates good communication and stakeholder management. The recognition for learning agility and early adoption of Generative AI tools suggests a proactive and adaptable work attitude, which aligns well with dynamic operational environments. The focus on automation and efficiency gains (e.g., reducing reporting cycles by 62.5%) highlights an operational mindset geared towards continuous improvement.