Vaishnavi Tamilvanan
Summary
Results-driven data professional with expertise in preparing, analyzing, and transforming raw data into actionable insights to solve complex business problems. Skilled in building robust ETL pipelines, applying machine learning for predictive analytics, and delivering scalable, data-driven solutions across industries such as health insurance, finance, supply chain, and education. Adept at storytelling with data, leading high-performing teams, and leveraging cloud technologies and BI tools to drive impactful decision-making.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Student Project Assistant II
Physician Assistant Program, GW School of Medicine
Washington, DC
06.2024 - Current
- Manage a database of over 5,000 records, apply advanced analytics to optimize the admissions cycle, deliver key insights, and present findings to the Admissions Associate Director.
- Performed administrative tasks, data acquisition and cleaning, analyzing data from three academic years using Excel, Power Query Editor, and pivot tables, ensuring data governance, improving data accuracy, identifying enrollment trends, and delivering insights.
- Collaborated with IT team to troubleshoot student database issues.
- Responded promptly to inquiries via email concerning admission requirements, or deadlines.
- Reviewed application documents for accuracy and completeness prior to processing them for review by Admissions Committee.
Machine Learning Software Engineer (Volunteer)
Data Science for Sustainable Development, GW
Washington, DC
02.2024 - 01.2025
- Developed strategies and applied machine learning techniques to preprocess and transform unstructured data, mapping over 43,000 buildings for a nonprofit, enhancing their assessment of structural damage in Ukrainian cities affected by conflict.
- Partnered with GIS teams to retrieve geospatial building coordinates, and created a visualization of the damaged buildings in multiple zones.
- Performed feature engineering using natural language processing and deep learning frameworks like TensorFlow and Keras.
- Created data stories for a nonprofit website using advanced Excel functions and Python for web scraping, data transformations, visualizations, and delivering insights and trends.
- Documented findings from experiments and presented them at workshops.
Data Engineer
Wipro Technologies
Bangalore , India
07.2021 - 07.2023
- Delivered strategic insights by developing six analytics-based dashboards in Tableau and Power BI to track product usage, analyze operational trends, and measure key performance indicators (KPIs).
- Developed Python scripts for extracting data from web services API's and loading into databases.
- Developed and maintained ETL-based web applications using APIs to automate the migration of over 5,000 reports across BI tools (Tableau, Looker, Cognos, MicroStrategy, QlikSense, Power BI), enhancing metadata extraction and SQL, and Oracle database storage efficiency by 30%, reducing manual report creation time by 80%, and accelerating migration processes.
- Designed, constructed, and maintained scalable data pipelines for data ingestion, cleaning, and processing using Python and SQL.
- Managed data ingestion from multiple sources into AWS S3, ECS, and EC2, and developed scalable ETL pipelines using AWS Glue and Lambda to transform and load data into Amazon Redshift.
- Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
- Configured and optimized Amazon Redshift clusters for data warehousing, leveraged Athena for ad hoc S3 queries, and integrated Amazon QuickSight to create interactive data visualizations.
- Partnered closely with Product Managers to grasp client requirements, delivered analytical solutions, and optimized a database using SQL queries, views, and stored procedures, reducing downtime by 50%.
- Created conceptual, logical and physical data models for use in different business areas.
- Participated in agile development processes, contributing to sprint planning, stand-ups, and reviews to ensure timely delivery of data projects.
- Collaborated with data scientists and analysts to understand data needs and implement appropriate data models and structures.
- Researched and integrated new data technologies and tools to keep the data architecture modern and efficient.
- Documented data architecture designs and changes, ensuring knowledge transfer and system maintainability.
- Conducted rigorous testing and validation of data pipelines to ensure accuracy and completeness of data.
- Quickly acquired new skills, solved complex problems, and received awards for contributions to team collaboration and trust-building, enhancing team dynamics and project outcomes.
- Presented data-driven recommendations, ad hoc reports, and demos of 5+ ETL applications to VP-level stakeholders and clients, showcasing communicative, collaborative, research, analytical, and problem-solving skills.
Education
Master of Science - Data Science
The George Washington University
Washington, D.C. 05-2025
Bachelor/Master of Technology (combined Degree), - Software Engineering
VIT University
Tamil Nadu, India 06-2021
Skills
- Languages: Python, Java, UNIX, C#, R, SQL, HTML, NoSQL, PostgreSQL, JSON
- Frameworks: PySpark, TensorFlow, Pytorch, Sklearn, Keras, Pandas, Matplotlib, NumPy, Dash, Seaborn, Airflow DAGs
- Tools: Tableau, PowerBI, AWS, Azure, GCP, GitHub, Spark, Docker, Snowflake, Databricks, Hadoop, Excel, CloudFormation
- Technologies: Data Modelling, Data Analytics, EDA, ETL/ELT, Computer Vision, NLP, Cloud Computing, Statistics, CI/CD, Machine Learning, Big Data, Web Scraping, Data Mining, Prompt Engineering, Kubernetes, Jenkins
Certification
- AWS Solutions Architect Associate
- AWS Cloud Fundamental
Timeline
Student Project Assistant II
Physician Assistant Program, GW School of Medicine
06.2024 - Current
Machine Learning Software Engineer (Volunteer)
Data Science for Sustainable Development, GW
02.2024 - 01.2025
Data Engineer
Wipro Technologies
07.2021 - 07.2023
- AWS Solutions Architect Associate
- AWS Cloud Fundamental
Master of Science - Data Science
The George Washington University
Bachelor/Master of Technology (combined Degree), - Software Engineering
VIT University
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