Data Analyst

Swathi Murali Srinivasan

******.****************@*****.*** 408-***-**** Arlington, VA (Open to Relocation) linkedin.com/in/swathimuralisrinivasan github.com/SwathiMurali

PROFESSIONAL SUMMARY

Data Scientist and Software Engineer with 4+ years of experience in Machine Learning (ML), Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI. Recognized as Employee of the Quarter for cross-functional collaboration and contributions to product development. Proven expertise in designing scalable AI solutions, including an AI-driven document analysis tool that processed 100K+ legal documents, saving 300+ hours annually. Proficient in Python, PyTorch, TensorFlow, Azure ML, AWS SageMaker, and MLOps frameworks. Adept at leveraging AI to enhance automation, operational efficiency, and decision-making. WORK EXPERIENCE

HIVE Lab, Department of Biochemistry, George Washington University Washington, DC Research Specialist (Data Science) Oct 2024 – Present

• Developed ‘GARepGen’, an automated reporting tool using Python and Google APIs on Google Cloud Platform, reducing manual reporting by 10 hours weekly and accelerating delivery by 50%, enhancing operational efficiency and data-driven decision-making.

• Generated actionable insights from Google Analytics data to enhance website performance for four FDA and NIH-funded projects, leading to 15% traffic increase and 3x improvement in user engagement. Infotrend Inc. College Park, Maryland

Data Scientist May 2024 – Sep 2024

• Developed and deployed ‘Infotrend Insights’, an AI-powered tool for cross-document analysis and summarization, automating the processing of 100K+ legal and FOIA documents and reducing manual effort by 300+ hours annually.

• Fine-tuned a large language model (LLM) and developed an API with optimized routing and caching, enhancing contextual accuracy for legal and compliance workflows. Improved efficiency for 5+ clients, driving estimated annual cost savings of $250,000. Bottomline Technologies Bengaluru, India

Senior Software Engineer Aug 2020 – Jul 2023

• Developed URL shortening feature and enhanced form generation using ReactJS and JSON, increasing feature adoption by 25% and reducing page load times by 45% through efficient state management and optimized API handling.

• Improved application performance by migrating 10K+ lines of code from Backbone Marionette's MVC architecture to ReactJS's component-based architecture, reducing page load times by 45% and boosting user engagement by 30%.

• Resolved 50+ major bugs using Chrome DevTools and implemented unit testing, enhancing product stability by 20% and reducing customer complaints by 40%.

• Mentored eight new hires by establishing OKRs and conducting knowledge sessions, leading to 30% productivity increase within the first month.

Pluto7 Bengaluru, India

Data Scientist Jun 2019 – Jul 2020

• Enhanced product churn model by gathering 2M+ additional records, performing data wrangling, empowering product and marketing teams target 10k high-risk customers monthly, driving a 5% increase in revenue.

• Implemented time series models to forecast credit card default rates using 500k+ records of credit card data, improving 20% forecast accuracy, leading to a 15% reduction in churn and $5 million in annual savings. TECHNICAL SKILLS

Programming & Analytics: Python, SQL, Bash, R, PySpark, Apache Spark, Spark SQL, Scala, JavaScript (ReactJS, Node.js, D3.js), HTML, CSS; Supervised and Unsupervised Learning, Time Series Forecasting, Natural Language Processing, Statistical Analysis, Graph Analytics, Deep Learning, Data Engineering Pipelines, Data Warehousing, Data Lakehouse, Generative AI (LLM, Agentic AI) Tech Stack: Databricks, Hadoop, Snowflake, BigQuery, Redshift, ETL Orchestration (Apache Airflow, Prefect, dbt), MongoDB, Neo4j, Kafka, Cloud Platforms (AWS, GCP, Azure), Docker, Kubernetes, Jenkins, CI/CD Pipelines, Git, Flask, Streamlit, RESTful APIs, MLOps Principles, Tableau, Google Analytics, JIRA, Agile Principles EDUCATION

The George Washington University Washington, DC

Master of Science, Data Science expected May 2025

Visvesvaraya Technological University Bengaluru, India Bachelor of Engineering, Computer Science & Engineering Aug 2020 PROJECT EXPERIENCE

Customer Complaint Sentiment Analysis with BERT Oct 2024 - Dec 2024 Fine-tuned a BERT model on 2M+ CFPB customer complaints and integrated it into a retrieval-augmented pipeline via Streamlit for real-time sentiment analysis, reducing issue resolution times by 25% daily and enabling scalable prioritization of negative feedback. YouTube Analytics Pipeline Feb 2024 - Apr 2024

Engineered an end-to-end AWS data pipeline to process YouTube data for Japan and South Korea, leveraging S3, Glue, Lambda, and Athena. Delivered actionable insights on 1.8B views and 1.9M likes/dislikes via QuickSight dashboards. Graph-Based Financial Analysis of SEC Filings Jul 2024 - Aug 2024 Built Neo4j and GraphRAG-powered framework with PySpark to analyze SEC filings for 16 companies, identifying five critical financial anomalies. Enabled natural language queries, enhancing fraud detection and risk assessment for auditors and investors.

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