Summary
Overview
Work History
Education
Skills
Certification
Awards
Timeline
Generic

RITESH PENUMATSA

Austin

Summary

Detail-oriented Statistics and Data Science student at University of Texas at Austin, graduating May 2027. Over two years of experience in data-driven solutions utilizing Python, SQL, and JavaScript. Expertise in developing machine learning models, creating interactive dashboards, and building full-stack applications. Strong foundation in statistical analysis and data modeling to solve complex problems and inform strategic decisions.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Machine Learning Intern

Data Sculpture
05.2025 - Current
  • Engineered a scalable data pipeline using Firebase and Google Cloud Dataflow, directly enhancing semantic search capabilities.
  • Reduced query latency by 20% by optimizing search workflows with predictive ML models (SciPy, Pandas).
  • Collaborated with engineers and scientists to develop ML-driven insights, utilizing NLP for text vectorization and SciPy for hypothesis testing.
  • Built interactive dashboards (FlexMonster) to visualize and communicate data insights to stakeholders.
  • Safeguarded sensitive pipeline data by implementing robust security protocols with end-to-end encryption.

Machine Learning Tutor

Varsity Tutors
09.2024 - Current
  • Designed and delivered customized curricula spanning fundamental to advanced machine learning topics, including supervised, unsupervised, and deep learning concepts.
  • Conducted weekly hands-on project sessions using Python libraries (NumPy, Pandas, Scikit-learn), resulting in a 15% average improvement in student test scores.
  • Provided focused guidance on predictive modeling techniques (Random Forest, Linear/Logistical Regression), statistical analysis, and data visualization (Matplotlib, Seaborn).

Education

Certificate - Computer Science

University of Texas At Austin
Austin, TX

Bachelor of Science - Statistics & Data Science

University of Texas At Austin
Austin, TX

Skills

    Technical Skills

  • Programming: Python, SQL, JavaScript, R
  • Data Science Libraries: pandas, NumPy, SciPy, scikit-learn, TensorFlow, Streamlit
  • AI/ML Specialties: Deep Learning, Computer Vision, Natural Language Processing (NLP), Predictive Modeling, Statistical Inference
  • Cloud Platforms & Tools: Google Cloud Platform (BigQuery, Vertex AI, Dataflow), GitHub, Elasticsearch
  • Data Visualization: Matplotlib, Seaborn, Plotly, Altair, Tableau, Power BI

    • Soft Skills

  • Collaboration, Analytical Thinking, Problem-Solving, Effective Communication, Mentorship, Adaptability

Certification

Machine Learning & Statistics


  • Advanced Linear Models for Data Science (Specialization) | Johns Hopkins University | Oct 2025
  • Machine Learning with Python | IBM | Oct 2025
  • Regression Analysis | Google | Oct 2025


Data Science Tools (Python)


  • Advanced & Core Pandas, NumPy (3 Certificates) | LinkedIn Learning | Sep–Oct 2025

Awards

ASEC Hackathon – Top 3 Winner 

Mar 2021


  • Engineered end-to-end ML pipelines to analyze weather impacts on electrical grids, performing data ingestion, preprocessing, and feature engineering from diverse datasets.
  • Built predictive models to assess grid vulnerability and created interactive Tableau dashboards to communicate actionable insights to stakeholders and judges.

Timeline

Machine Learning Intern

Data Sculpture
05.2025 - Current

Machine Learning Tutor

Varsity Tutors
09.2024 - Current

Certificate - Computer Science

University of Texas At Austin

Bachelor of Science - Statistics & Data Science

University of Texas At Austin

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