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bindhusaahithi/README.md

Hi 👋, I'm Bindhu Saahithi

Data Science Graduate Student • Python • SQL • Power BI • AWS • ETL • Snowflake •


👩‍💻 About Me

  • 🎓 Pursuing M.S. in Data Science at University of Massachusetts Dartmouth
  • 🔍 I build ML models, analyze data, and create dashboards to solve real-world problems
  • 💡 Passionate about turning raw data into meaningful business insights
  • 🌱 Currently exploring: Model Deployment · Advanced NLP · Data Engineering
  • 🎯 Open to: Data Scientist · Data Analyst · ML Engineer roles

🛠️ Skills & Tools

Languages & Libraries

Python SQL Pandas NumPy Scikit-learn Matplotlib Seaborn

Machine Learning

Regression Classification Clustering CNN Hypothesis Testing

Analytics & Visualization

Power BI Tableau Excel

Cloud & Data Engineering

AWS Azure Databricks ETL

Databases

MySQL SQL Server MongoDB Amazon Redshift

Tools

Git Jupyter VS Code


💼 Experience

🔸 Graduate Assistant — Business Analytics

University of Massachusetts Dartmouth · Jan 2026 – Aug 2026

  • Analyzed large datasets using Excel, SQL, and Python to generate actionable insights for academic and administrative decision-making
  • Built interactive dashboards in Power BI/Tableau to track KPIs and performance metrics
  • Automated weekly/monthly reports, reducing manual reporting time by 30–50%
  • Conducted EDA to uncover patterns and support research projects

🔸 Data Analyst Intern — Hallmark Global Technologies Ltd

India · Nov 2023 – Oct 2024

  • Assisted in cleaning, validating, and analyzing datasets using Excel, SQL, and Python.
  • Wrote SQL queries to extract and summarize business data for reporting.
  • Created interactive dashboards and KPI reports using Power BI.
  • Supported data transformation and preparation for analytics and reporting.
  • Identified trends, data-quality issues, and useful business insights from datasets.
  • Collaborated with team members to understand reporting requirements and present findings clearly.

🚀 Featured Projects

Analyzed large-scale sales data to uncover revenue trends, regional performance, and product profitability. Built interactive dashboards to support business decision-making.
Python SQL Pandas Tableau EDA Power BI


Segmented customers using clustering and predicted Customer Lifetime Value to drive smarter marketing and retention strategies.
Python Scikit-learn K-Means Clustering Regression Pandas


Built a CNN-based deep learning model to detect lung cancer from CT scan images, improving classification accuracy for medical diagnosis.
Python CNN Deep Learning Medical Imaging Scikit-learn


📌 Currently Working On

  • 🚀 Deploying Customer Segmentation as a live Streamlit app
  • 📊 Building my Kaggle profile with project notebooks
  • 📝 Writing my first Medium article on end-to-end ML model building

🎯 Goals

  • 🤖 Build end-to-end data science and machine learning pipelines
  • ☁️ Strengthen cloud and data engineering skills (AWS · Azure · Databricks)
  • 📊 Work on impactful real-world datasets and open-source contributions

📊 GitHub Stats


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  1. Customer-Segmentation-Customer-Lifetime-Value-Prediction Customer-Segmentation-Customer-Lifetime-Value-Prediction Public

    Customer segmentation and 90-day CLV prediction using RFM analysis, K-Means clustering, and machine learning on e-commerce transaction data.

    HTML

  2. Lung-cancer-detection Lung-cancer-detection Public

    Deep learning–based lung cancer detection system using CNN and CT scan images for multi-class classification.

    Jupyter Notebook

  3. Netflix-Analysis Netflix-Analysis Public

    Netflix Movies & TV Shows Data Analysis using Python, Pandas, Matplotlib, and Seaborn.

    Jupyter Notebook

  4. Sales-Analytics Sales-Analytics Public

    Retail Sales Analytics project using Python, SQL, and Tableau to analyze revenue trends, regional performance, category insights, and profitability.

    Jupyter Notebook

  5. Healthcare-Analytics-System Healthcare-Analytics-System Public

    Healthcare analytics platform with Flask, Streamlit, Azure-ready ETL, and Power BI reporting.

    Python

  6. Energy-Comsumption-Analysis Energy-Comsumption-Analysis Public

    Industrial-style AWS data engineering project for smart-meter energy analytics using S3, Glue, Athena, Parquet, Airflow, and Terraform.

    Python