Ritesh Penumatsa
Austin,TX
Summary
Aspiring Data Scientist with a strong data processing, analysis, and machine learning foundation. Proficient in Python, SQL, and various data manipulation and visualization tools. Adept at applying statistical analysis, supervised and unsupervised learning models, and data-driven decision-making.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Python Developer
UTD
Richardson, TX
06.2022 - 07.2024
Developed and implemented algorithms (merge sort, recursion, search algorithms) in Python and Java. Designed data structures (linked lists, binary trees) and solved 30+ DSA problems. Automated data processing scripts, improving workflow efficiency by 15%.
- As a Python Developer at UTD, I developed solutions to advanced competitive problems in Python and Java. My responsibilities and accomplishments were algorithm implementation, including merge sorting, insertions, selections, recursion, binary and linear search. I designed and implemented various data structures, such as linked lists, hash mapping, dynamic programming, binary search trees, depth, and breadth-first search, etc. I solved 30 data structures and algorithms questions, which improved my coding skills.
- Python and Java. I gained hands-on experience by working with Jay Veeraswamy, UTD.
- Professor, in advanced concepts in data structures, algorithms, and writing efficient code.
- I collaborated with a remote team to get better at problem-solving and improve code efficiency. Our team developed and implemented three new Python scripts to automate data processing, resulting in a 15% increase in efficiency for the team's workflow. I utilized tools such as Jupyter Notebook for visualizing code to others, and IDEs like PyCharm and IntelliJ for efficient code. This internship significantly improved my coding skills and understanding of the applications of different algorithms to make search and sorting more efficient, which helped me provide a solid foundation for approaching challenging problems in my future endeavors.
Education
Bachelor of Science - Statistics And Data Science
University of Texas At Austin
Austin, TX05-2027
Coppell High School
Coppell, TX05-2023
Skills
- Machine Learning
- Statistical Analysis
- Analytical Skills
- Written Communication
- Content Development
- Deep learning
- Mathematics and Statistics
- MySQL
- Communication
- Python Programming
- Problem-Solving
- Data Modeling
- A/B Testing
- Data Validation
- Linear algebra
- Advanced computer programming
Certification
- Problem Solving (Basic)
Issued by Hackerrank | June 2024 - Python (Basic)
Issued by Hackerrank | June 2024 - SQL (Basic)
Issued by Hackerrank | June 2024
Accomplishments
Top 3 Finisher for ASEC Hackathon
University of Calgary | Mar 2021
The project analyzed how weather patterns and locations impact electrical demand, price, and load, aiming to visualize key insights clearly for stakeholders, partners, and conference attendees, ensuring the data is both accessible and impactful.
Projects
Tomato Plant Image Classification
Jun 2024 - Aug 2024
- Developed a CNN model to classify tomato plant diseases (Early Blight, Late Blight, Healthy).
- Created a functional webpage for disease prediction through image uploads.
- Achieved 95% accuracy in disease classification, utilizing a diverse dataset.
- Designed the model for practical, real-world applications in agriculture.
ChatGPT Reviews
May 2024 - Aug 2024
- Analyzed user reviews to predict positivity impact on rating scores and likes using a RandomForest model.
- Developed a functional webpage to predict positivity scores and likes based on user reviews.
- Delivered a visual presentation outlining the problem, solution, and key insights.
- Achieved over 99% accuracy in predicting positivity impact and number of likes for user posts.
Here’s a refined version of the project description:
Diabetes Prediction
Jun 2024 - Aug 2024
- Developed an SVM-based machine learning model to predict diabetes.
- Deployed the model on a Streamlit server with a user-friendly interface.
- Built a functional webpage for predicting diabetes based on age, BMI, glucose, and more.
- Achieved over 90% accuracy in predicting diabetes, enabling real-life applications for easy self-assessment.
Data Analyst Intern
Atliq Hardware
May 2024 – July 2024
- Developed and optimized SQL queries to facilitate data-informed decision-making processes for production improvement.
- Generated and implemented 10 critical SQL queries, leading to actionable insights that contributed to a 15% increase in production efficiency.
Stock Market Analyst
Aug 2024 – Sep 2024
- Conducted an in-depth analysis of stock markets for Amazon, IBM, and Microsoft using Gated Recurrent Units (GRUs) to build advanced deep-learning forecasting models.
- Developed a functional webpage allowing users to predict stock prices for specified companies at given times, integrating data from Yahoo Finance and comparing it with GRU-predicted values.
- Achieved over 95% accuracy in predicting historical stock prices through the implementation of Recurrent Neural Networks (RNNs).
Timeline
Python Developer
UTD
06.2022 - 07.2024
Bachelor of Science - Statistics And Data Science
University of Texas At Austin
Coppell High School
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