Data Science Machine Learning

Tharun Muralitharan

Email: ******************@*****.*** Linkedin:Tharun_Muralitharan Mobile: 470-***-**** EDUCATION

Texas A&M University (TAMU), College Station - Master of Science, Data Science, May 2025 GPA: 3.7/4.0 Relevant Coursework: AI, LLMs, Recommendation engines, Reinforcement Learning, Machine Learning, Statistical Computing. Anna University,India - Bachelor of Technology, Computer Science and Business Systems, May 2023 GPA: 9.02/10 Relevant Coursework: DBMS, Statistical Modelling, Data Structures and Algorithms, DataMining, Computer Networks PROFESSIONAL EXPERIENCE

Data Science Intern - Pricing Analytics and Margin Optimization, RS Group, Texas, USA Feb 2025 - May 2025

●Designed enterprise-level dashboards in Tableau and Power BI to visualize SKU sales, price sensitivity, and fraud patterns across 200,000+ products, driving a $300K profit uplift.

●Wrote and tested parameterized SQL scripts for ETL jobs and analysis workflows, validating large transaction datasets and driving dynamic segmentation.

●Collaborated cross-functionally with product managers, business analysts, and data engineers to define stakeholder requirements, develop KPIs, and troubleshoot live report logic.

●Streamlined reporting processes using Python and Alteryx, automating repetitive cleaning steps and accelerating dashboard refresh cycles by 40%.

●Documented end-to-end ETL flow logic, including system integrations, key dependencies, and QA checks used during performance troubleshooting. Graduate Assistant - Data Management, Texas A&M, Texas, USA Sept 2024 – Feb 2025

●Developed and maintained interactive Power BI dashboards and ad hoc reports used by 300+ departments to monitor academic performance, student outcomes, and operational KPIs.

●Built and optimized complex SQL queries with CTEs, window functions, and multi-table joins on Snowflake and Postgres backends, improving query efficiency by 45% and supporting large-scale data pulls.

●Conducted data validation, metadata analysis, and discrepancy tracking across multiple datasets, resolving inconsistencies in over 1.2M student records.

●Authored and maintained data dictionaries, field definitions, and change documentation to ensure transparency and usability of reporting infrastructure.

●Partnered with academic advisors, IT analysts, and institutional research teams to translate student-level data requirements into dashboards and system-ready queries.

●Participated in system change testing and rollout support, resolving configuration issues and ensuring adoption through user training and feedback.

●Actively contributed to JIRA-based project tracking and testing cycles for academic reporting platforms and ETL enhancements. Data Science Intern, COSTBO, Bengaluru, India Jul 2022 – Jul 2023

●Developed KPI scorecards and visual dashboards for marketing and membership teams using Power BI and Excel, enabling insights across multiple business units.

●Led exploratory data analysis using SQL and Python on engagement data, identifying churn drivers and improving audience segmentation models.

●Supported ETL prep and schema alignment for cross-platform migration, enhancing data compatibility between legacy MySQL systems and new cloud infrastructure.

PROJECTS

Data Science Project – Reinforcement Learning Optimization with PPO & A2C,Texas A&M Aug 2024 – Dec 2024

●Trained agents using Proximal Policy Optimization and Advantage Actor-Critic (A2C) in PyTorch, achieving policy stability after 70M timesteps.

●Designed a multi-discrete action space and custom reward functions to guide agents through progressive skill acquisition.

●Tuned PPO hyperparameters (learning rate, etc) to increase training stability by 60% and improve average rewards by 25% compared to A2C. SKILLS

●Data Languages: Advanced SQL (window functions, CTEs), Python (pandas, NumPy), R

●Databases: Redshift, Postgres, Snowflake, MySQL

●ETL & Automation: Alteryx, Python, Snowflake pipelines, Jupyter Notebooks

●Visualization Tools: Tableau, Power BI, Looker (familiar), Excel (PivotTables, VBA)

●Documentation & Ops: Metadata design, Data Dictionaries, JIRA, Confluence

●Other Tools: Microsoft Office (Excel, Word, Outlook, PowerPoint), Google Workspace AWARDS

●Best Outgoing Student - Awarded by Sri Krishna College of Engineering and Technology 2023

●1st place - Smart India Hackathon by Government of India 2022

●2nd place - UNESCO India Africa International Hackathon 2022

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