Queried HubSpot and Stripe using SQL and unified datasets in Python to surface 1,045 orphan companies and non-paying customers, improving data quality and enabling targeted operations follow-up

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

Built a 12-month paid-only revenue pipeline to compute per-customer MRR and payment aggregates; 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

Designed and automated a daily KPI pipeline to compute performance metrics including 24-hour and 30-day order deltas, GMV, and channel-level insights, delivering automated executive summaries that replaced ad-hoc reporting

Built multilingual voice bots for a fintech lending platform with OpenAI API and LangGraph that automated lead generation, payment reminders, and loan settlements, cutting 60% of call-centre workload and saving Indian banks $1.25M+ annually

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

Delivered data-driven product insights by capturing call-level metrics in Grafana SQL and monitoring call logs, enabling rapid prompt tweaks that continually lifted collection KPIs and operational efficiency

Reviewed 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

Cleaned a 25K-record agricultural dataset and built and presented a Power BI dashboard and accompanying PowerPoint deck that delivered district-wise insights used by client managers 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