Technical Lead

• Led the migration of 100+ legacy dashboards from Tableau to Power BI using Microsoft Fabric and Lakehouse architecture, integrating data from Oracle, SQL Server, Denodo, DB2, Excel, SharePoint, and Outlook. Automated data ingestion and reconciliation using Python scripts, reducing manual effort by 40%.
• Developed 25+ advanced dashboards with star schema modelling, custom DAX measures, drill-through navigation, and cutting report generation time by 40% and improving operational efficiency by 30%.
• Optimized data pipelines by implementing incremental data refresh, Gate way connections, and parameterized queries across Power BI datasets and Derived tables in the Microsoft Fabrics, enhancing query performance by 35% and ensuring data integrity and validation across platforms.
• Managed the full BI development lifecycle (Requirement Analysis, Data Modelling, ETL, Report Development, Testing, Deployment, Hypercare) using Agile methodologies, delivering projects on time with a 25%+ increase in adoption and stakeholder satisfaction.

Internship

• The Heart Disease project focuses on the healthcare sector, analyzing complex data to diagnose heart conditions. This roles require a deep understanding of data analytics, including statistical analysis and predictive modeling techniques.
• Collaborated effectively to analyze a complex heart disease dataset, focusing on critical metrics such as age, sex, chest pain type, resting blood pressure, and serum cholesterol levels to derive valuable insights into cardiovascular health.
• Conducted an in-depth examination of the dataset, revealing significant patterns such as 47% of patients exhibiting symptoms of typical angina and 38.4% displaying signs of reversible defects, which are crucial for effective diagnosis and treatment planning.
• Utilized statistical analysis and predictive modeling techniques to navigate through the dataset, uncovering actionable insights that aided in understanding and diagnosing heart conditions.
• Leveraged PowerBI tools to create detailed reports and interactive dashboards, enhancing strategic decision-making for stakeholders and deepening my proficiency in applying data analytics to real-world healthcare scenarios.

Programmer Analyst

• Engineered 20+ Power BI reports and 8 interactive dashboards by integrating SAP BW via REST APIs and Excel data sources, implementing data modelling, relationships, and DAX-driven KPIs to deliver actionable insights across supply chain, payment terms, and cross-purchasing verticals.
• Applied ABC inventory classification and time-series analysis on fast-moving and slow-moving items, optimizing stock levels by 20%, reducing excess inventory by $50,000, and improving inventory turnover ratio.
• Performed vendor-level payment term analysis using Power BI and SQL-based aggregation logic across 5 payment categories, calculating Days Payable Outstanding (DPO) for 50+ vendors, contributing to a 10% cost savings (~$1.2M annually).
• Conducted variance analysis using Actual vs Target metrics for 10+ business units with calculated DAX measures, enabling the recovery of 20% of missed purchases in 3 months and achieving $80,000 in cost savings.
• Developed KPI-driven dashboards tracking 10+ inventory categories and financial indicators using Power BI Bookmarks, Tooltips, and Drill-through, leading to a $0.5M revenue increase and a 15% gain in cross-purchase process efficiency.

Junior Programmer

• Led as a Full Stack Developer for the Hospital Management System (HMS) Project, overseeing modules like OP, IP, Billing, Insurance, Pharmacy, MRD, Lab, Radiology, etc., and spearheaded the development of the OPEMR module for 30+ departments, serving a user base of 400+ doctors.
• Achieved a 15% decrease in Hospital Expenditure by implementing the HMS Project, significantly reducing paperwork and administrative overhead costs, amounting to savings of ₹5,00,000 annually.
• Decreased patient waiting times by 20% through streamlined processes enabled by the HMS project, enhancing patient satisfaction and retention.
• Contributed to a 15% increase in hospital revenue, generating additional revenue of ₹10,00,000.

Content Scheduler

• Creating the content for the Live and Future events.
• Performing the Quality checks for the Articles/Contents which have been done by other creators.
• This led to a 10% decrease in Error showing in the upcoming or live matches.

Information Science Engineering

Grade: First class.

Higher Secondary School

Grade: First class.