Shubham Sharma
Business Intelligence | Data Analysis | Data Engineer | Tableau | Power BI | SQL | Azure
- Role
- Senior Business Intelligence Developer at Stashfin
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Shubham Sharma
Result-oriented professional with 3+ years of experience in Business Analysis, Data Analysis, and SQL Development, passionate about leveraging data-driven insights to drive strategic decision-making.Experienced Data Analyst skilled in data wrangling, predictive modeling, and demand forecasting, with a proven track record of delivering valuable insights for informed decision-making.Proficient in BI tools such as Tableau, Power BI, and Google Data Studio, with expertise in Python, SQL, and DAX. Experienced in crafting visually appealing dashboards and implementing advanced Machine Learning techniques for analyzing sales data and identifying opportunities for improvement.Strong background in statistics, probability methods, and machine learning algorithms. Possess excellent soft skills including communication, detail-oriented, time management, adaptability, and analytical thinking.Certified in Power BI Desktop Specialist, Tableau Desktop Specialist, and Data Analysis with Python.Currently seeking dynamic opportunities in Business Analysis, Data Analysis, and SQL Development to contribute to the success of an organization.Connect with me to explore collaboration opportunities and discuss industry trends in Business Analytics and Data Science.
Experience
Senior Business Intelligence Developer
Feb 2025 — Present
Led an end-to-end on-us/off-us performance analysis by integrating scrub data and applying advanced data visualization techniques to assess customer quality, identify early signs of potential defaulters, and strengthen future credit-risk decisioning.• Built a Partnership Analysis MIS dashboard to track weekly, monthly, and yearly contribution of each lead source helped the team identify low-performing partners and improve lead quality mix, leading to a 15–20% increase in high-intent traffic over time.• Engineered automated SQL/Python pipelines and a centralized underwriting–rejection tracking system—capturing manual/automated checks, rejection reasons, and DE validations, scheduled via Cron and visualized through BI dashboards—reducing processing and tracking time by 95% and enabling near-real-time insights for streamlined decision-making.• Automated manual Excel reporting by developing BI dashboards, reducing reporting time by 90% and accelerating insight delivery.• Performed end-to-end risk analytics using Python and interactive visualizations, creating complex data transformations and dynamic MIS reports (FPD/POS across 5–20 day intervals by MOB buckets) to identify policy gaps, enhance risk assessment accuracy, and enable real-time monitoring that strengthened early-stage collections strategies.
Education
Manipal University Jaipur
Bachelor of Technology , Computer and Communication
California State University - East Bay
Master's degree, Business Analytics
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