Jun 2025 – Sep 2025 · 3 mos

• Spearheading a high-performing data science team at Cardinal Health, focusing on advanced AI and LLM solutions.
• Developed and implemented innovative strategies that enhanced operational efficiency and decision-making processes.
• Collaborated with cross-functional teams to align data-driven insights with business objectives, resulting in significant project advancements.

Nov 2022 – Jun 2025 · 2 yrs 7 mos

• Engineered a demand forecasting framework for warehouses, employing dynamic clustering and Prophet-based models with 92% accuracy.
• Architected and currently leading the development of a generative AI-driven quote generation tool (leveraging Gemini 2.0 and CatBoost) for the nuclear pharmaceutical business, automating customer request analysis and price recommendations via MS GraphAPI integration, enhancing
• efficiency and profitability.

Dec 2020 – Nov 2022 · 1 yr 11 mos

• Recommendation system for news articles|A/B Testing | NLP | Python| GCP|Sequence model| Game Theory| Genetic Algorithm

Sep 2018 – Dec 2020 · 2 yrs 3 mos

• Built ROI attribution model for a sales funnel using reinforcement learning
• Built Time Series Forecasting models for Inventory Optimization Tool
• NLP application for semantic similarity of products descriptions to form taxonomy of the products for online retailers
• Text Clustering and Classification of defects in production from logs to monitor and report

Apr 2018 – Sep 2018 · 5 mos · Bengaluru, Karnataka, India

• Safety Analytics at breweries-Lost days causal analysis using Topic Modelling on incident causes
• People Analytics - Benchmark setting on scores of cognitive assessments of applicants, driver analysis using welch t-test and ANNOVA

Mar 2016 – Mar 2018 · 2 yrs

• Retail Promotion analysis to identify
• Built linear regression models to capture sales lift due to different retail promotions
• ROI of marketing campaign is evaluated using ANCOVA while controlling for other promotional
• activities
• Projects on Social Data
• Created customer segments using Latent Dirichlet Allocation algorithm on Twitter profile description
• of brand customers to identify target segments.
• Conducted Sentiment Analysis of Twitter Posts (unstructured text) posted by customers to
• understand their reaction to a particular cover topic, using Naïve Bayes Algorithm , hence use
• results for decision making of future cover topics.
• Conducted Topic Modelling using LDA and Support Vector Machine algorithm on Twitter
• data(unstructured text) to uncover new topics of interest
• Follower analysis of twitter data using R and Python
• K-Means clustering of consumer Twitter profile data fields like “no of friends”,”followers”,”likes
• count” etc.
• Project on Native Advertising
• Created Linear Regression model to predict “Average Time Spent On Content(Native)”, using
• independent variables like seasonality, devices and category
• Created Logistics Regression model to predict the probability of the Native ad getting shared
• depending of several independent variables
• Data Engineering projects
• Designed the ETL process of Facebook data for magazine brands like People,Real Simple to collect
• posts, comments and page related fields.
• Implemented the previous using Python, AWS and PostgreSQL

Jan 2015 – Feb 2016 · 1 yr 1 mo

• Conducted segmentation of magazine titles sold in the chain CVS, did a comparative study of
• how different stores in a particular region have performed within and between each segment.
• Studied impact of various promotions run on Time Inc. and competitor titles likes , People,
• Elle,Cosmopolitan in chains like Walmart, Target, Kroger, Safeway,using SAS based
• regression analysis
• Created sales forecasting regression models using historical data for various titles like
• Sunset,Cosmopolitan,Martha Stewart Living etc.
• Conducted statistical analysis to measure consumer attitude towards different promotional
• activities.
• Created excel interactive dashboard to monitor past promotional activities,containing charts to
• identify the best suited promotion type for a particular title in a particular region.

Jan 2010 – Feb 2013 · 3 yrs 1 mo · Bhubaneswar

• Worked with American Express Entertainment DataBase application which manages and records
• benefits (received and given) details for proper auditing and compliance to Federal rules
• Enhanced and optimized the performance of the application by introducing new Technologies
• Designed, developed, integrated and tested project modules along with team members.
• Worked with Securities IQ Team for American Express to ensure the compliance to the bussiness ethics of the employees
• Designed different questionaires and reports on the statistics of the compliance
• Designed the bussiness rules for a money transaction software used by the customers to operate
• proper functioning of Amex ATMs in United Kingdom and Singapore markets