Sasank Chithirala

About Sasank Chithirala

I am an aspiring Data Engineer with expertise in Big Data, Machine Learning, and Cloud Computing. I specialize in designing scalable ETL pipelines, optimizing distributed computing workflows, and leveraging cloud platforms like AWS and Google Cloud (GCP) to build efficient data solutions. Passionate about transforming complex datasets into meaningful insights. What I Do: Build scalable data pipelines for batch and stream processing. Design and optimize SQL queries, stored procedures, and indexing for efficient data retrieval. Work with PySpark, Hadoop, and ML frameworks (Spark MLlib, TensorFlow, Scikit-Learn). Optimize high-performance data architectures and analytics systems. Analyze and visualize data using Tableau, Power BI, and Seaborn. Projects & Research:Customer Churn Prediction in Telecom: Built MongoDB on Docker for scalable storage and used Databricks for big data processing. Preprocessed data with PySpark/Pandas. Achieved 80% churn prediction accuracy using Gradient Boosting.Pandemic’s Impact on Healthcare & Happiness Index: Created a real-time COVID dataset using Python and Gallup data. Used Matplotlib & Seaborn for model tuning. Achieved 90% accuracy, improved to 92.5% with ensemble learning (voting classifier).Optimized Climate Data Integration with Real-Time LLM Querying: Preprocessed NOAA/ECMWF climate data into SQLite using advanced wrangling. Built custom MCP servers for real-time LLM queries, enabling fast, AI-driven insights via optimized low-latency SQLite queries. Experience:Student Teaching & Research Assistant – George Mason University– Analyzed student grade data using K-Means and Hierarchical clustering techniques to identify performance trends, enabling targeted improvement strategies.– Created interactive Power BI dashboards to visualize real-time metrics, providing data-driven insights and increasing overall comprehension.– Leveraged the AWS CLI and AWS S3 for data storage, resulting in efficient cloud computing workflows and enhanced accuracy through systematic troubleshooting. I am actively seeking opportunities in data analysis roles across various industries to apply my skills in extracting insights and driving data-driven decisions. Looking forward to connecting with professionals and collaborating on exciting projects. Let’s connect! Email: s••••••••@gmail.com ‍ GitHub:[github.com/sasank484](https://github.com/sasank484)

Experience

1. Data Analyst

   Innova Solutions

   Nov 2025 — Present · NJ, US

Education

• Vellore Institute of Technology

  Bachelor's degree, Electronics and computer engineering

• George Mason University

  Master's degree, Data Modeling/Warehousing and Database Administration