Oct 2022 – Present · 3 yrs 5 mos · Hyderabad, Telangana, India

• Spearheading data-driven operations optimization across 500+ pharmacy units, leveraging analytics to improve medicine delivery performance nationwide.
• Reduced escalations by 50% and cancellations by 25% through in-depth analysis of operational metrics using Python and SQL, identifying key correlating factors such as cart modifications, ETA breaches, and SKU-level rejection trends.
• Conducted root cause analysis (RCA) and developed rule-based models to flag high-risk orders proactively, contributing to measurable service improvements.
• Built and automated real-time dashboards using Python, Jenkins, and data visualization tools to track Operations Excellence KPIs, enabling leadership to make timely and informed decisions.

May 2021 – Sep 2021 · 4 mos · Mumbai, Maharashtra, India · Hybrid

• Worked as a Risk analyst for a US based client involved in alternative lending. Developed a PQ model from scratch for pre-screening the loan application based on owner and business info, banking data from MoneyThumb, credit bureau variables, social media presence etc to calculate the probablity of default using Xgboost reducing the default percentage by 10%.
• Created a tool for Social Media Scoring of a business by scraping data from google reviews yelp, twitter etc. which significantly improved the funding decisions of the client.
• Created live dashboard to highlight poor performing sales organizations based on duplicate applications, probability of default, response rate from merchants after approvals for loans, Net profit from the organizations based on commission, interest rate and underwriting costs.
• Developed a model to predict Inflation in USA seeing its correlation on various factors like Gold/ Copper Price changes, Energy/ fuel price changes etc. Authored an article on same - “Making Sense (and Some Predictions) of Inflation” published by Global Banking and Finance Review

Apr 2020 – Aug 2020 · 4 mos · India

• Led the operations management of 40+ hospital units pan India for tele-consultation; Framed a standard doctor on-boarding protocol into the platform; Employed numerous strategies to boost the fulfilment % of the units and analyzed their performance via well defined KPIs.

Dec 2019 – Mar 2020 · 3 mos · Singapore

• Performed Big Data bioinformatic analysis to infer haplotype of pf-pdSNPs from whole genome data of patients who were on statin drugs. Employed Python (mainly pandas) to prepare input file and learnt to apply complex algorithms (e.g. PHASE, FASTPHASE, WINHAP) to analyze big genomic data and compared accuracies over the algorithms.

Jul 2019 – Jul 2020 · 1 yr

Mar 2018 – Jul 2019 · 1 yr 4 mos

Jul 2019 – Jul 2020 · 1 yr

Nov 2018 – Jul 2019 · 8 mos

May 2019 – Jul 2019 · 2 mos · New Haven, Connecticut

• My project includes semi automatic segmentation and 3D modelling of images obtained by FIB-SEM and collaborating with researchers from different countries to get the best possible solution for segmentation. Worked extensively on softwares like Drafonfly ORS, Fiji, Microscopy Image Browser, MATLAB