Hi, I'm Chekitha Swayampu

A Data Professional.

Data Science. Cloud Computing. Machine Learning.
Data Visualization. Database Management.

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ABOUT ME

Hi, I’m Chekitha, a data professional with a sharp eye for detail and a passion for turning complex problems into clear, actionable insights.

I move fluidly between analysis, science, and strategy. Whether it’s uncovering trends in raw data, designing machine learning models, or building dashboards that support real-time decisions, I focus on work that connects data to business outcomes. Over time, I’ve worked across messy supply chains, healthcare data, and operational systems, using Python, SQL, and visualization tools to find the signal in the noise.

I enjoy asking the right questions, working across teams, and using data not just to explain what happened, but to guide what comes next. Always learning, always building because good data should drive smart decisions.

EDUCATION

Vellore Institute of Technology-AP

July 2019 – May 2023

Bachelor of Technology in Computer Science – Data Analysis Specialization
Andhra Pradesh, India

The George Washington University

August 2023 – May 2025

Master of Data Science
Washington, DC

EXPERIENCE

July 2025 – Present

Data Scientist

CybeCys, Inc – Hybrid / Fairfax, VA

• Automated HR case summarization with LLM-powered NLP, reducing resolution time by 75% and saving 40 hours monthly while ensuring compliant, audit-ready escalation reporting.
• Developed AWS S3–Snowflake pipelines to standardize unstructured documents into analytics-ready tables, reducing preprocessing effort by 70% and improving data security.
• Built a churn prediction model with 87% accuracy and presented insights that drove proactive retention strategies.
• Performed clustering-based segmentation on 20K+ customers, boosting revenue by 18% through targeted marketing.

May 2024 – Aug 2024

Data Scientist

ZettaMine Labs Pvt. Ltd. – On-site / Hyderabad, India

• Led a 2-member team applying NLP-based aspect-level sentiment analysis on 10K+ patient surveys and reviews, uncovering themes that guided service improvements.
• Refined 3M+ clinical records, enabling clustering and revised test packages that raised in-house test uptake by 57%.
• Developed a time series forecasting model with 92% accuracy to predict daily hospital bed occupancy, enabling data-driven workforce planning and optimized resource allocation.
• Validated insurance claims using SQL, uncovering 135+ pending cases that recovered $400K in revenue.
• Presented risk-related findings and actionable insights to leadership through visual storytelling in Power BI.
• Designed and optimized ETL pipelines on AWS Redshift and S3 by implementing efficient schema designs, which resulted in improved scalability and processing speed of data operations.
• Conducted comprehensive data quality assessments and prepared insightful Power BI reports, which led to the successful adoption of new data governance policies organization-wide.

Jun 2022 – Aug 2023

Data Analyst

Suvega Technologies – Hybrid / Hyderabad, India

• Reduced truck cycle time by 35% using exploratory data analysis of GPS data and A/B testing of delivery routes, minimizing fuel cost by 17%.
• Performed market basket analysis; improved promotional targeting and increased product association sales by 24%.
• Developed forecasting and clustering models to optimize warehouse inventory, reducing stockouts and improving order acceptance rate by 34%.
• Implemented regression-based sales prediction models and KPI visualizations with the BI team, uncovering store trends that prevented a 13% revenue decline across 8 locations.
• Integrated SQL data sources and automated preprocessing in Python to deliver 10+ Tableau dashboards, enabling real-time logistics decision-making.
• Resolved delivery location errors by modeling nearest verified drop-off points per zone in GeoPandas, rerouting drivers to proven sites, and lowering erroneous attempts.
• Traced cargo weight discrepancies and used SQL to flag fault trackers and detect missing or incomplete delivery trips.
• Automated reporting processes for incomplete trips and missed deliveries using SQL and Excel/VBA macros, which cut manual reporting efforts by an impressive 70%, enhancing operational productivity.
• Led weekly client sessions to gather requirements for live-monitoring dashboards that translated complex business needs into clear, actionable insights for enhanced operational effectiveness.
• Designed a centralized PostgreSQL database schema with cross-functional teams in Agile sprints, integrating multi-source delivery data, ensuring integrity, scalability, and eliminating 90% of manual collection time.
• Engineered Python–SQL ingestion workflows to preprocess and load 85% of delivery records, automating ETL processes and improving data availability by saving ~60 hours monthly.
• Designed SQL queries for continuous monitoring, detecting anomalies early, and reducing data discrepancies by 25%.
• Produced ad-hoc reports on warehouse inventory, identifying slow-moving items and reducing holding costs by 11%.

SKILLS

Programming & Scripting Languages

Python

SQL

Java

HTML

CSS

Bash

Databases & Storage

MySQL

PostgreSQL

MongoDB

Cassandra

Neo4j

AWS RDS

AWS S3

Big Data & Cloud Technologies

AWS Glue

AWS Lambda

Apache Spark

Microsoft Azure

GCP

Data Analysis & Visualization Tools

Tableau

Power BI

AWS QuickSight

D3.js

PROJECTS

Temperature Forecasting Using ML

Jan 2025 – May 2025 | GWU

A project that applies machine learning, deep learning, and forecasting techniques to predict daily U.S. temperatures, enhanced with feature engineering, visualizations, and interactive dashboards to support climate and environmental decision-making.

Facial Data Evaluation Using CNN

Jan 2023 – Apr 2023 | VIT

A real-time facial analytics system that detects eye and mouth states, age, gender, and emotions using deep learning. Built with MediaPipe’s 468-point Face Mesh, OpenCV, and TensorFlow/Keras, combining landmark ratios with CNN models for multi-feature analysis.

Data Driven Supply Chain Analytics

Sept 2023 – Dec 2023

A complete data mining pipeline for supply chain and sales analysis, combining exploratory data analysis, predictive modeling, and optimization to generate actionable business insights.

Data Brew: Starbucks Customer Segmentation

Aug 2023 – Dec 2023

This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.

Walmart Sales Forecasting Model

Jan 2024 – May 2024 | GWU

This project focuses on sales forecasting using the M5 Forecasting – Accuracy dataset. It leverages historical sales and external factors such as price, promotions, and events to generate accurate 28-day ahead predictions, supporting improved inventory management and supply chain planning.

Impact of Weather on Energy Consumption

Aug 2024 – Dec 2024 | GWU

Forecasts energy consumption with an AWS SageMaker regression model. An AWS Glue + S3 ETL handles ingestion and feature engineering, and QuickSight dashboards visualize usage and forecasts. Includes data prep scripts, training notebooks, and evaluation metrics.

Deforestation, Carbon & Temperature Trends

Jan 2024 – May 2024

Data-driven story showing how global deforestation raises CO₂ and drives higher temperatures. Interactive Datawrapper visuals integrate multiple datasets into a cohesive narrative. Charts follow visualization best practices: consistent colors, clear font hierarchy, and accessibility-focused design.

Drowsy Driver Alert System

Jan 2022 – June 2022

A real-time drowsiness detection system built with OpenCV, dlib, and deep learning landmarks, designed to enhance driver safety by monitoring fatigue.

Sample Hospital Webpage (HTML/CSS)

Jan 2022 – May 2022

A sample multi-page hospital website for Care & Cure, featuring a home page, doctors directory, and appointment booking. Built with clean HTML and CSS, it demonstrates basic navigation, department links, and responsive design for healthcare websites.