Kalpak Nandurkar
System Engineer @Infosys
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WORK HISTORY
System Engineer @Infosys
Pune, IN
Played a key role in supporting data-driven decision-making by analyzing business data, building dashboards, and delivering actionable insights to stakeholders.Designed and maintained Power BI dashboards for tracking KPIs, operational metrics, and performance trends, enabling faster and more informed business decisions.Worked extensively with SQL to extract, clean, and transform data from multiple sources for reporting and analysis.Performed data validation, reconciliation, and quality checks to ensure accuracy and consistency across reports.Collaborated with cross-functional teams to understand business requirements and translate them into analytical solutions.Automated recurring reports using Excel and Power BI, reducing manual effort and improving reporting efficiency.Presented insights and findings to stakeholders in a clear, business-friendly manner to support planning and optimization.Tools & Skills: Power BI, SQL, Excel, Data Analysis, Dashboarding, Reporting, Data Validation, Stakeholder Communication
EDUCATION
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
Bachelor of Engineering - BE, Computer Science
Sardar Patel Mahavidyalaya
HSC, Science
Narayana Vidyalayam
SSC
ABOUT KALPAK NANDURKAR
I’m a Data Analyst skilled in Power BI, SQL, Python, Data Modeling, and Predictive Analytics, with experience delivering end-to-end analytics solutions at Infosys. I’ve built automated Power BI dashboards, optimized Amazon Redshift pipelines, and created customer churn and segmentation models that improved decision-making across teams.I specialize in DAX, ETL pipelines, dashboard design, machine learning (Scikit-learn), and statistical analysis, turning large datasets into clear, actionable insights. With certifications as a Microsoft Power BI Data Analyst Associate and Fabric Analytics Engineer Associate, I focus on building scalable BI solutions that drive measurable business impact.Open to roles in Data Analysis, Power BI Development, Business Intelligence, and Analytics Engineering.
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