Achintya Yedavalli

I'm a Designer

About

Hi! I'm a highly analytical and goal-oriented Informatics major, graduating from UT Austin (May 2025) specializing in Data Science & Machine Learning. I'm looking to combine technical expertise and problem-solving skills to solve complex problems and deliver data-driven results.

ML Engineer & Data Scientist.

  • Birthday: 9 January 2003
  • Website: www.achydaman.github.io
  • Phone: (512) 524-6683 (Proxy)
  • City: Austin, TX, USA
  • Age: 22
  • Degree: BSI in Informatics
  • Email: asyedavalli@gmail.com
  • Work Status: Looking for work

Throughout my studies, I’ve focused on Data Science, AI, and Machine Learning, developing both hands-on experience and a strong foundation in these fields.

Applicable Skills

A strong background in ML and Data Science requires certain skills!

Python 100%
SQL 100%
PyTorch/TensorFlow 100%
Power BI 90%
Tableau 70%
Azure AI Services 60%

Resume

Summary

Achintya Yedavalli

RECENT DATA SCIENTIST GRADUATE WITH STRONG BACKGROUND IN MACHINE LEARNING, SEEKING TO APPLY TECHNICAL EXPERTISE AND PROBLEM-SOLVING SKILLS TO TACKLE COMPLEX CHALLENGES AND DELIVER DATA-DRIVEN RESULTS.

  • Austin, TX & Washington, DC
  • (512) 524-6683
  • asyedavalli@gmail.com

Education

Bachelor of Science in Informatics, Human-Centered Data Science Concentration

August 2021 - May 2025

University of Texas at Austin, Austin, TX

Relevant coursework includes:

  • Machine Learning (TensorFlow, Keras), NLP, Data Engineering (SQL, NoSQL), Data Visualization (Tableau, Superset), Open-Source LLM Fine-Tuning

Key Projects include:

  • Sentiment Analysis on Finance Twitter (NLP), Customer Turnover Prediction, Real-World Database Management, Deep Learning for Mental Health Detection, Housing Prices Indicating Model

Professional Experience

Business Intelligence Intern

June 2024-August 2024

SolarWinds, Austin, TX

  • Utilized Python and Natural Language Processing tools to develop, maintain, and analyze an intelligent matching algorithm resulting in a significant decrease in manual logging (est. 60%)
  • Managed an SQL database as a data lake to pull, organize, and utilize key data necessary for the above matching project
  • Created a Data Management Solution to facilitate analytics and readability

Digital Finance Intern

May 2023-August 2023

HMSHost, Bethesda, MD

  • Collated real supplier and sales data to help set the company’s imports for the fiscal quarter
  • Handled low-level service data to analyze sales based on placement in airports
  • Utilized Power BI to create comprehensive KPI reports, analyzing millions of transactions contributing to billions in revenue

Data Science Intern

May 2022-May 2023

Strike9 Consulting, Remote

  • Designed and developed a large comparative data set (1.5 million records) with downloaded data from 400+ competitive restaurants
  • Developed reports to identify top performing stores and net potential gain based on increased menu prices
  • Separated and parsed restaurant menu names & descriptions into base ingredients using Python tools to identify matches between client stores and comparable stores

Contact

Please don't hesitate to reach out!

Call/Text Me

+1 (512) 524-6683

Email Me

asyedavalli@gmail.com

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