DRASHTI THUMMAR

ad3iob@r.postjobfree.com 716-***-**** https://www.linkedin.com/in/drashti-thummar/ (Open to relocate) EDUCATION

University at Buffalo, State University of New York Aug 2022 – Dec 2023 Master of Science – Engineering Science Data Science CGPA: 3.77/4.00 Gujarat Technological University (GTU), Ahmedabad, India Aug 2018 - May 2022 Bachelor of Engineering – Computer Science CGPA: 9.28/10.00 TECHNICAL SKILLS

Prog Lang.: Python (Pandas, Matplotlib, Seaborn), SQL, R, Java, C/C++, C#, JavaScript, Unix/Linux Scripting Tools: Tableau, PowerBI, DataBricks, CI/CD (Jenkins, GitLab), AWS, Azure, BitBucket, Docker, Kubernetes Frameworks: Scikit-learn, TensorFlow, PyTorch, Django, Flask, .NET, Selenium (Web scrapping) Database: MySQL, Oracle PL/SQL, RDBMS, NoSQL, PostgreSQL, S3 WORK EXPERIENCE

Graduate Research Assistant June 2023 - Present

• Worked with the Bioinformatics team for designing Classification model for metabolites and achieved 98% accuracy.

• Performed web crawling using Selenium to extract massive data of prodrug and metabolites and created in structured database.

• Collaborated with OpenAI research team to help analyzing resume scoping ability of OpenAI API and LangChain library.

• Performed insightful queries to fetch factual results after experimenting on 2500+ different resume formats.

• Iteratively refined the extraction process to enhance the quality of results, addressing limitations and targeting more precise and nuanced information extraction.

Django Developer at Laxminarayan Systech Pvt Ltd Jan 2022 - April 2022

• Designed robust website for handling tenants’ database using Django framework, worked with SQLite, PostgreSQL.

• Leveraged Django-tenants to create multi-tenant Django application, and Django-allauth to authenticate user logins.

• Implemented Django forms for user input, connected them to well-structured backend to store records.

• Utilized REST APIs to retrieve data, implemented foreign key constraints to establish relationships between complex data.

• Analyzed, and categorized table data and executed CRUD operations for data manipulation. Website Developer (Intern), GVM Technologies LLP Jan 2021 - May 2021

• Successfully integrated .NET, JavaScript, Node.js, C#, HTML, CSS, and REST API to create a feature-rich web application.

• Developed a robust REST API to facilitate seamless communication between the frontend and backend components, enhancing the overall performance and functionality of the Unified Task Management System. ENGINEERING PROJECTS

Online Cab booking System Java, JSP, JDBC, Java Spring, Java Servlet, MySQL, Tomcat Server June 2023 - Aug 2023

• Leveraged advanced graph algorithms to accurately pinpoint the nearest driver for the dynamic cab booking system developed using Java, Spring MVC, Servlets, and MySQL.

• Incorporated machine learning techniques to analyze historical driver data, ensuring familiarity with areas and significantly enhancing user experience, achieving a precision of 90% in driver proximity and optimizing waiting times. Database and Query optimization on H-1B Non-Immigrant Labor Visa Data PostgreSQL, Python Feb 2023 - May 2023

• Generated data pipeline to extract raw data, performed ETL transformations using pandas, loaded results in PostgreSQL tables.

• Normalized tables and performed various query optimization to reduce runtime by 65% by applying B-tree indexing.

• Analyzed responsible factors which affects visa approval, presented trend with graphs, charts and success metrics. Cloud Resource Optimization with Reinforcement Learning TensorFlow, Kubernetes, Docker Feb 2023 - May 2023

• Designed and implemented a cutting-edge resource allocation model leveraging TensorFlow and PyTorch.

• Utilized MLOps practices with MLflow and Kubernetes to ensure continuous model optimization and scalable deployment.

• Applied advanced reinforcement learning techniques, including Proximal Policy Optimization (PPO), for dynamic and skill- based cloud resource allocation.

Time Series Analysis of fluctuations in US Government Bond Yields R, ARIMA,GARCH Feb 2023 - May 2023

• Fetched data from online resources, generated data pipeline to remove redundancy, stored data with structured format.

• Notified Autocorrelation and value of lag parameter, visualized fluctuations within time, performed time series analysis.

• Compared different trends and developed statistics to forecast data with 92% accuracy with GARCH model in RStudio. Courses: Analysis & Design of Algorithm, Machine Learning, Statistical Learning, Numerical Mathematics, Probability, Python Programming, Data Structures, Pattern Recognition, Data Compression