Data Analyst

Sunshine Enterprises

March 2024 - Present

• Managed 500+ inventory records with 99% accuracy, enabling precise tracking of medicine movement and expiry trends.

• Built daily and monthly dashboards, enabling faster decision-making and improving inventory tracking accuracy by 99%.

• Conducted purchase pattern analysis, recommending optimal reorder points, reducing overstock by 18% and expired product losses by 22%.

Data Analyst

Kepler Voice

Nov 2023 - March 2024

• Built and maintained SQL pipelines over 1M+ records to monitor operational KPIs, automated checks improved data freshness and reliability for leadership reporting.

• Designed Tableau dashboards for agent productivity, QA outcomes, and SLA adherence; enhanced cross-team visibility and contributed to a 15% lift in agent productivity.

• Partnered with operations leads to define success metrics, evaluate initiative impact, and iterate on insights to drive process improvements in a fast-changing environment.

• Implemented data validation protocols utilizing Python and SQL over a 12-month period, ensuring 99.8% accuracy across 10+ weekly reporting cycles for enterprise-wide KPI dashboards.

Data Analyst

Freelancer

January 2022 - October 2023

• Built Tableau scorecards and marketing funnels that reduced manual reporting time by 30% and enabled stakeholders to act on revenue and conversion opportunities.

• Applied customer segmentation, cohort, and RFM analysis to inform personalization strategies, promotional targeting, and churn reduction initiatives.

• Delivered 10+ end-to-end dashboard engagements for clients across multiple industries, analyzing 100K+ records to translate business questions into data-backed recommendations.

• Performed ad hoc analyses on external sales and marketing datasets weekly for 14 months using SQL and Python, identifying revenue opportunities and directly influencing client decision-making KPIs for a portfolio of 5 accounts.

Data Science Intern

Innomatics Research Labs

October 2021 - January 2022

• Deployed ML models on AWS via Streamlit, boosting processing speed by 20%.

• Built COVID-19 chatbot that handled 100+ queries.

• Increased model accuracy by 15–20% with feature engineering.

Machine Learning Intern

Simple & Real Analytics

April 2021 - September 2021

• Developed forecasting models (~80% accuracy) for sales planning, executed RFM and survival analysis on 50K+ records to improve targeting by 25%.

• Applied RFM and survival analysis on 50K+ records, improving targeting by 25%.

• Authored technical blogs to communicate methods and results to non-technical audiences.