Hello!

This is Venkata Satya Sreeya Chandrapati



Data Science enthusiast

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Name: Venkata Satya Sreeya Chandrapati

Job Role: Analyst

Experience: 1 year

Address: Hyderabad, India

Skills

Data Analytics 70%
PYTHON 75%
Data Visualization 90%
SQL 65%
Machine Learning 65%

About

About Me

Enthusiastic and detail-oriented data science fresher with a passion for leveraging data to drive impactful insights and solutions. I'm driven by the potential of data to unlock valuable insights and make informed decisions. Equipped with a solid foundation in data analysis, data visualization & machine learning algorithms, I am eager to contribute my skills to a dynamic and forward-thinking organization.

  • Profile: Data Science & Analytics
  • Domain: Clinical research & Marketing, Analytics
  • Education: Master of Science
  • Language: Python, R, SAS
  • BI Tools: Microsoft Power BI & Tableau
  • Other Skills: Microsoft 365, OpenCV, YOLOv5, Google Analytics & Cloud
  • Interest: Teaching and Developing new applications

0 +   Projects completed

LinkedIn

Resume

Resume

I'm a Fresher with a strong passion for data science. I am open to full time opportunities, projects, or collaborations that allow me to contribute to the exciting world of data science.

Experience


March 2025-July 2025

Project Associate

Deccan AI, Hyderabad

Deccan AI is an AI-driven company that leverages in-house expertise, top Indian talent, and high-quality data to develop and deploy advanced LLM models and AI solutions for businesses.

  • Lead and manage multiple assessment content development projects across various domains, ensuring timely delivery and quality assurance.
  • Hire and coordinate with freelancers based on skill requirements, overseeing end-to-end task execution and performance.
  • Collaborate with cross-functional teams to design effective evaluation strategies and streamline content review processes.

November 2024-March 2025

AI Annotator

Deccan AI, Hyderabad

Deccan AI is an AI-driven company that leverages in-house expertise, top Indian talent, and high-quality data to develop and deploy advanced LLM models and AI solutions for businesses.

  • Developing and annotating high-quality natural language datasets.
  • Providing expert feedback on model responses to refine Reinforcement Learning from Human Feedback (RLHF) techniques, leading to more human-like and coherent outputs.
  • Conducting thorough quality checks on datasets to ensure consistency, accuracy, and overall data quality.

January 2024-April 2024

Process Excellence Intern

Tata Advanced Systems Limited, Hyderabad

Tata Advanced Systems Limited is one of the country’s leading private players for aerospace and defence solutions and aspires to be the 'Partner of Choice', especially for the government’s 'Make in India' programme and for global Original Equipment Manufacturers (OEMs).

  • Built custom formulas in Google Sheets to handle large datasets, generate reports, and streamline project management decisions.
  • Created performance dashboards in Tableau to visualize key metrics across a complex organization, fostering data-driven decision-making.
  • Implemented an automated email system in Google Sheets using Apps Script, reducing manual processing time for 500+ clients by 75%.



Education

2025-Present

Master of Science

University of Texas at Arlington

Major: Applied Statistics and Data Science

Grade: 4.00

2020-2024

Bachelor of Engineering

Osmania University (MVSR)

Major: Information Technology

GPA: First class with distinction (7.51)

2018-2020

Higher Secondary School

Sri Chaitanya Junior Kalasala

Grade: First class with distinction.

2010-2018

Secondary School

The Hyderabad Public School

Grade: First class with distinction.

Download Resume

Projects

Projects

This section showcases Data Analytics projects that demonstrate my proficiency in Python, Power BI, Tableau and Machine Learning.

Multiclass Classification of Liver Disease

Developed a multiclass clinical classification pipeline in R that achieved 94.9% accuracy (0.79 macro F1) using PCA, ANOVA-based biomarker selection, Z-score scaling, and LDA.

Dehazing with Object Detection

Developed a dehazing model using Dark Channel Prior and YOLOv5 for improved image clarity and object visibility.

Identifying Key Determinants of Heart Disease: A Statistical Approach Using SAS

Developed a SAS-based clinical analytics pipeline on the UCI Heart Disease dataset that achieved a 0.9365 ROC-AUC and 87% sensitivity by leveraging inferential statistics (t-tests, ANOVA) and stepwise logistic regression to isolate critical risk factors like thalassemia and vessel blockage.


Dehazing with Object Detection

Developed a dehazing model using Dark Channel Prior and YOLOv5 for improved image clarity and object visibility.

Cancer Data Analysis with Power BI

Designed an interactive Power BI dashboard to analyze cancer mortality trends from 2000–2019.

0 Internships
0 Projects
0 Problems solved on Leetcode
0 Professional body Experience - IEEE (in years)

More projects on Github

I am interested in clinical research & real time problem solving.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Hyderabad, India

Contact Number

+91 9381022340

Email Address

sreeyachandrapati10@gmail.com

Download CV

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