Extracted and reconciled HubSpot and Stripe data using SQL and Python to identify 1,045 orphan and non-paying customer accounts, improving data integrity and enabling targeted operations follow-up for an AI-powered retail SaaS

Conducted market basket analysis on retailers' website orders using association rules to identify co-purchased categories and design cross-sell recommendations, driving a 9% incremental lift in revenue from recommendation placements

Built a 12-month paid-only revenue pipeline to compute per-customer MRR and payment aggregates; represented in Excel pivot thereby improved reporting accuracy and enabled operations follow-up on non-paying customers

Partnered with RevOps and Product to design automated data-validation SLAs for weekly business reviews, reducing manual audit cycles

Architected and automated a daily KPI reporting pipeline to deliver executive-ready insights on GMV, order trends, and channel performance, replacing ad-hoc analysis and improving decision-making speed

Engineered multilingual AI voice bots for a fintech lending platform using OpenAI API and LangGraph; automated lead generation and loan-settlement outreach, cutting 60% call workload and saving $1.25M+ annually for partner banks

Designed, executed, and evaluated A/B tests on alternative large language model (LLM) prompt strategies using call-centre interaction data to evaluate response quality, latency, and resolution accuracy; identifying the optimum design and improving resolution rates by 45%

Designed and analyzed statistical A/B tests on LLM prompt strategies, querying Grafana call-interaction logs using SQL to evaluate quality, latency, and accuracy, identifying the best variant and boosting resolution rates by 45%

Analyzed ESG disclosures and sustainability sections of 100+ corporate annual reports to catalog ESG renewable-energy projects; compiled findings into an Excel tracker that equipped PwC consultants with data-driven insights for client energy-solution pitches

Prepared and modeled a 25K-record agricultural dataset and developed and presented a Power BI dashboard and executive-ready PowerPoint deck, delivering district-level insights used to prioritize regional growth opportunities

Created PowerPoint presentations on business cycles and startup dynamics incorporating graphs by utilizing data from PwC research, government reports, and articles to enable strategic decision-making

Cataloged 15+ delivery service providers in Excel using website data and secondary research, improving market positioning through comprehensive competitor analysis

Revealed key insights on competitor features, pricing, and market positioning, enhancing strategic decision-making and boosting operational efficiency

Resolved 30+ TDS discrepancies through detailed Excel analysis, and reported findings to senior management, leading to corrective measures that enhanced financial accuracy and compliance

Managed the firm's rent schedules to streamline operations and ensure consistency