Highlights:

Skills:Generative AI, Large Language Models, Langchains, Power BI, Tableau, Python, R, SQL, SAS, Apache Kafka, Snowflake, NumPy, Pandas, PyTorch, VBA Excel, Pivot tables

Data Scientist Intern 02/2023 - 05/2023
Versiti Blood Research Institute, Milwaukee, Wisconsin United States
Industry: Healthcare
This is a healthcare industry focusing on clinical trials and medical research.
• Engineered a predictive Random Forest model to identify the variables that influence the diagnosis of Myeloproliferative neoplasm (MPN) and Myelodysplastic syndromes (MDS) in patient lectin array, achieving an enhanced accuracy of 95% through Grid Search CV. • Used SAS to prepare data and built a performance measurement dashboard using KPIs that display patient satisfaction as well as clinical outcomes of the trial. • Employed normalization techniques to mitigate batch effects, utilizing Power BI to generate reports with treemaps, decomposition trees, and waterfall charts for visualizing feature sets and model results.--
Data Scientist 08/2023 - current
Peearz Corp (startup), Fremento, Wisconsin United States
Industry: Healthcare
In this startup company, I have learned to thrive in the fast-paced environments that frequent most small stage startups.
• Constructed a Generative AI Large Language Model (LLM) to query multiple patient files uploaded by clients using file langchain agents and access patient SQL database using SQL database agents. • Embedded json and csv langchain agents to enable clients to query the large language model about their healthcare data. • Performed data integration of Faceki API, an authentication mechanism into Peearz platform to ease login for clients using the platform.--
Data Research Analyst 06/2022 - 08/2022
Medical College of Wisconsin, Milwaukee, Wisconsin United States
Industry: Healthcare
I honed my data analytics and visualization skills in this position.
• Analyzed patient data to discern the distinct impact of lectin microarray analysis on patient variables for 2 medical conditions, contributing to a nuanced understanding of diagnostic patterns and 15% increased accuracy. • Conducted Principal Component Analysis in R, producing visualizations that clarified complex relationships among patient variables. • Visualized the data using heat maps and created an interactive web application using the Plotly Express dash library to display data in the form of various charts, effectively communicating patient information.--
Data Analyst 01/2019 - 07/2021
Cognizant Technology Solutions, Chennai, Tamil Nadu India
Industry: Manufactuing
A huge portion of my work involved creating reports using financial metrics such as Return on Investment (ROI) and gross margin.
• Built descriptive analytic dashboards that summarize Key Performance Indicators such as Return on Investment (ROI ) and gross margins to provide insights into the performance of the company. • Architected Hive tables and expertly orchestrated high-velocity data pipelines, facilitating seamless loading of extensive OLAP data into HDFS via Sqoop Jobs, optimizing data accessibility, and boosting operational efficiency by 25%. • Exercised precise database stewardship, utilizing SQL DDL and DML commands to ensure data integrity, resulting in reduction in anomalies--

University of Wisconsin -Milwaukee 09/2021 - 05/2023
Milwaukee, Wisconsin, United States
Degree: Master's Degree
Major:Computer Science
I took up relevant courses such as Machine Learning, Database Management(SQL), Natural Language Processing (NLP), Algorithm Design & Analysis, Data Analysis, Software Development Life Cycle, Data Structures

Login to view resume: Resume_DharminiSaravanan -