Who am I?

About me

Hi, I'm Bhargavi Sriram. A Software Engineer with a strong interest in Data Science and a solid background in Data Engineering. I create scalable pipelines, optimize workflows, and deliver data solutions that drive business outcomes using Python, SQL, Spark, and cloud tools. When I'm not coding, you'll find me traveling, staying active, or trying out new recipes. I'm eager to apply my skills to create meaningful insights and innovative solutions.

Connect on LinkedIn.
Shoot me an email.
Explore my GitHub.

Data
Scientist

Data
Engineer

Software Engineer

Data
Analyst

What's new?

Recent Achievements

Title: Fair and Representative Jury Selection for Decentralized Justice
Brief: Introduced 6 novel metrics and developed Fair Spread Algorithms, ensuring fairness in jury trials within decentralized systems like Ethereum, with customized algorithm recommendations.

Paper published in ICDCN 2025 proceedings, ACM Digital Library.
Read the full paper here.

Successfully passed the AWS Certified Data Engineer - Associate exam with a score of 877/1000.
View my badge here.

Won Russell Investments Case Competition (RIICC).
Read about my experience here.

Work

Recent Projects

View on GitHub

  • Parsed over 9,000 articles from TechCrunch using BeautifulSoup.
  • Processed a dataset of over 5 million words with meticulous data cleaning to ensure high-quality analysis.
  • Built a Streamlit dashboard to visualize sentiments, author contributions, top 10 companies, and more, providing real-time insights.
NLP
MongoDB
Data Science

View on GitHub

  • Built an automated BigQuery pipeline to retrieve daily rising search terms, reducing data retrieval time by 90% with Python.
  • Cleaned and processed over 10,000 records per week to ensure data accuracy and relevance.
  • Processed data of over 206 million records for trend analysis.
Data Engineering
ETL
Airflow
BigQuery

View on GitHub

Read research paper

  • Built network graphs with 7M nodes using Ethereum transactions to uncover social relationships.
  • Introduced 6 metrics to assess jury quality.
  • Developed the Fair Spread Algorithms, including a memory-enhanced version for fairness across jury trials.
Social Networks
Algorithms
Data Analysis

View on GitHub

  • AI-powered chat assistant for e-commerce data using a Retrieval Augmented Generation (RAG) framework.
  • Processed and organized over 100+ product manuals and sales reports, labeling documents with metadata for filtered searches.
  • Integrated Cortex Search for automatic document embedding and retrieval adding historical chat history maintenance, boosting context-aware response.
Machine Learning
Data Science
Visualization

View on GitHub

  • Conducted RFM analysis to evaluate customer behavior and assign RFM scores.
  • Applied K-means clustering to identify customer segments.
  • Recommended customized products to 1 million customers using collaborative filtering (user-based and item-based) techniques.
Machine Learning
Data Science
Visualization

View on GitHub

  • Automated data pipeline with Python script, reducing manual retrieval time by 90%.
  • Developed an Airflow pipeline to fetch and store daily search data, ensuring 99% reliability.
  • Processed data of over 206 million records for trend analysis.
Machine Learning
Data Science
Visualization
Workshops & Guest Lectures

Academic Outreach

  • Organized and led Blockchain workshops at IIT Madras.
    (2022-2023)

    Delivered talks and workshops at IIT Madras to over 150 undergraduate and postgraduate students, introducing blockchain technology and its latest advancements.
    Below is a picture with my team from the IITM Blockchain Club.


  • Delivered a Two-Day Blockchain Workshop at SSN College, India
    (2-3 Feb, 2023)

    Had the opportunity to deliver a session during the two-day workshop “Blockchain Technology and its Applications” at SSN College, Chennai, India. Shared insights on blockchain technology and facilitated hands-on sessions with tools like Solidity, Web3, and MetaMask to help students gain practical experience.
    Here's a picture of me during the workshop, along with appreciation from the institute.

Past Roles

Work Experience

Education

Education & Skills

My Specialty

Top Skills

Python

94%

SQL

95%

R

90%

Cloud (AWS/Azure/GCP)

92%

Visualization (Tableau/Power BI/Looker)

94%

Apache Spark

95%

ML Algorithms

96%

ETL/ELT

95%