- Processed 200k medical charts available as scanned PDFs using OpenAI Large Language Model to ensure comprehensive and accurate Risk Adjustment capture. Extracted medical conditions, procedures, surgery and medication information, saved months of manual efforts and estimated savings of close to $1M.- Used OpenAI LLM, NLP, OCR techniques to process scanned/ image PDF medical files and extracted text, information and entities for business partners and identified fraud cases as part of Payment Integrity- Successfully developed market and customer segmentation strategy using Gaussian Mixture Model, Bayesian clustering techniques that helped in identifying product value and markets for integrated product sales of X%- Led a team and achieved X% growth by identifying and targeting right subscribers for the DHMO dental plan by developing a probability-based classification algorithm- Forecasted dental claims using timeseries model that helped in developing new business strategy- Worked on causal inference modeling and estimated savings of $X per person per year when offered integrated medical and pharmacy productsTechnologies & Programming Languages- Machine Learning, AWS, Redshift, Domino, Python, Pyspark, SQL, R

Microsoft:- Partnered with stakeholders to understand the. problems and challenges related to new products launched in the market- Led a team and developed marketing strategy for onboarding, cross-selling & upselling; designed marketing campaigns to increase the sales for the new product launched recently and statistically measured the impact of the campaigns using A/B testing- Developed Customer Lifecycle dashboard for multiple products that helped stakeholders in understanding the customer behavior like retention, engagement, churn over a period of time thereby helping them in developing strategies for the next campaignsBiggest Entertainment Client:- Worked for one of the biggest multinational mass media and entertainment client- Worked with stakeholders and led a team of 6 Data Scientists developing strategies and statistical models to increase the ROI by 4% during the pandemic across all the movie formats- Developed Market Mix Model and Spend Optimization what-if scenarios across different media channels to recommend optimized spends for a movie thereby maximizing revenue by 5% and reducing cost by 3%- Estimated price elasticity factor for the premium format to see the effect of increased price on demand- Identifying and analyzing KPIs of movies and developing strategies early in the stage to maximize revenue- Analyzed multiple large data sets to find out additional parameters impacting the revenue- Involved in presentations to stakeholders

- Worked on transferring of inpatient & outpatient data in Epic & Meditech flat files from Hospitals to staging DB to Prod using SQL, AWS Data Pipelines, workflows; data sync between 2 systems- Analyzed patient data and provided recommendations to increase volume and revenue by 2%- Analyzed CPT, HCPCS, ICD codes to get insights related to volume and revenue, and provided recommendations- Coordinated with multiple teams working on different products and leading certain activities

Improved freight handling process using Data Analysis & Data Visualization using SQL, SAS & Tibco Spotfire• Identified and utilized KPIs to find insights and presented recommendations to the leadership team.• Developed RPA POC for a business process and analyzed the impact of automation on shipment processing

- Developed strategy to increase the transactions by 9% using predictive model & segmentation- Analyzed financial data to understand the demand for transaction type and provided recommendations- Automated Web Service application using VBScript to improve ROI for Wells Fargo Bank and enhanced framework to reduce manual efforts by 120 hours.- Handled a project module single-handedly from the offshore involving end to end tasks which saved the budget for additional resource and improved the financial transactions.- Enhanced existing framework by adding new functionalities.- Improved automation performance by migrating existing framework to new framework.- Coordinated with the client on weekly basis to report project activities and discussed areas of improvement.- Worked on automation feasibility analysis, estimation calculation and requirement understanding.- Conducted Technical Interviews for new hires.

- Led a project module with 5 members involved in the analysis of personal insurance policies for QBE, forecasting of claims and increased customer base by 3% by identifying the demand for the coverages- Handled imbalanced data to analyze lapsed policies.- Led a project module, handled end to end activities and delivered project with excellent quality.- Used Agile methodology & improved applications quality using data analysis, risk analysis, root cause analysis.- Automated application using QTP and saved 160 hours of manual efforts.- Improved different Line of Business by finding multiple critical defects.- Trained 8 resources in an Agile project and improved the SIT & UAT productivity.- Used advanced excel functions like VLOOKUP & Pivot Table for reporting

- Involved in network analysis and identified and improved points with high traffic.- Handled analysis of network data from different routers, switches and servers.