Saurabh Singh

Working on implementing gen AI in the insurance industry.

• Assisting Professor Edward Winkofsky and Professor Yalchin in Supervised and Unsupervised Machine Learning. • Responsibilities include managing course recitation, conduction office hours, solving undergrad students queries related to ML and grading.

• Created a model using Electronic Health Record (EHR) data to identify High-Cost Claimants, reducing healthcare costs by 40% through early interventions and improved patient outcomes. • Fine-tuned large language models (Dolly, Flan t5, Alpaca, StableLM) to build context-based QnA systems, summarizing extensive documents with NLP techniques. • Implemented MLOps pipeline on Azure DevOps, employing Databricks for code hosting. Integrated RAI algorithm over lightgbm model, deploying health use cases successfully. • Developed Responsible AI pipelines to ensure model fairness, transparency, and explainability, utilizing IBM AIF360 for over 6 models. • Created plan performance models on Databricks to guide Medicare Advantage payers in optimizing benefits and values during Annual Enrollment Period.

• Developed regression model to explain key sales drivers and COVID impact for an anemia drug. • Created Classification algorithms including Random Forest and XGBOOST. • Constructed Anomaly detection model for a cancer drug across multiple US stores. • Automated processes using Python and SQL. • Conducted Hypothesis testing and performed statistical analysis on clusters. • Developed HCP Segmentation models using KMeans and Hierarchical clustering. • Managed imbalanced datasets and conducted Advanced Feature Engineering. • Utilized SHAP for Model explanation. • Proficient in tools like KNIME, Alteryx, and Tableau. • Designed and built Tableau Dashboards. • Demonstrated effective stakeholder management.

• Build a Tableau Dashboards for supply chain team of a Fortune 500 company which was very much appreciated by clients and was implemented in other countries as well. • Created a forecasting model with MAPE <6% inorder to merge with one of our internal Product. • Built end to end Bayesian network Solution to identify key growth drivers of Sales on Amazon. Involved in Data gathering, management, model development, Model deployment on GCP and ROI estimation. • Independently built a solution for forecasting sales for internal product due to which dependency on different teams was eliminated and saved 8hrs a week • Involved in building a solution to determine key growth drivers of one of the segments of a CPG company. Responsible for project management, requirement gathering, model development, Presentation, insight generation and documentation. • Collect, analyze, evaluate and report data in order to increase sales productivity • Analyzing sales and performance records, interpret results of overall sales • Generating ad hoc reporting for Sales, Marketing, Pricing, Business Planning, and Product Management • Communicating results to key stakeholders in order to support informed business decisions by providing in-depth analysis and recommendations

• Involved in Building Data Harmonization pipeline using Talend/Alteryx for different projects. • Developed Dashboards on Tableau, Power BI and Excel. Along with development successfully cleared Tableau Desktop Certification. • Involved in Migration of Data harmonization from Alteryx to R in order to save cost and reduce manual intervention. • Constantly involved in process improvement and change management and delivering projects independently.

Data Science Specialization