Sankalp Mohanty

I’m a Business Analyst with experience in data analytics, stakeholder management, requirements gathering, and reporting solutions. I translate business needs into actionable insights using SQL, Excel, and data-driven analysis, with a focus on operational efficiency and customer-centric decision making.

At Loyalty Juggernaut Inc., I analyzed member engagement and transaction data to define program health KPIs and uncover optimization opportunities for an enterprise loyalty platform with 8M+ members. I designed and configured 8+ reward offers in GRAVT Y, reducing offer launch timeline by 35% through streamlined requirements documentation, and I collaborated with backend engineers and DevOps to influence product roadmap prioritization. I also ran client UAT, handled defect tracking and regression testing, and built performance dashboards and stakeholder reports.

Earlier, as a Data Science and Analyst Intern at Celebal Technologies, I applied descriptive, predictive, and prescriptive analytics techniques (classification, regression, clustering) on 15+ datasets using Python and SQL, improving model accuracy to ~85% while reducing processing time by 45%. I performed EDA and data quality assessments on 10K+ records, resolving 95% of inconsistencies, and built end-to-end ML workflows to improve reliability from 78% to 92% through feature engineering and hyperparameter tuning.

In my projects, I built “Sentinel Secure,” an ML-powered robbery and theft alert system targeting 94%+ accuracy and reducing response time to 1.5 seconds with LLM-driven emergency alerts. I also worked on “FleetIntel,” translating mobility product expectations into specifications, validating backend processing handling 70K+ API calls/day, and measuring impact via defined KPIs.