Parthu Ammineni
Tempe,USA
Summary
Innovative Machine Learning Intern with hands-on experience in developing algorithms, predictive modeling, and data mining. Strong understanding of machine learning concepts coupled with skills in statistical programming languages like Python and R. Proven ability to leverage big data analysis to drive project success and improve functionality. Committed to staying current on emerging technologies in artificial intelligence, deep learning, and data architecture.
Overview
2
2
years of professional experience
Work History
Instructional Assistant / Grader
Arizona State University
Tempe, US
09.2025 - Current
- Assisted faculty with grading assignments and exams for undergraduate mathematics courses, under the School of Mathematics and Statistical Sciences.
- Supported students with coursework, clarifying concepts in probability, statistics, and linear algebra.
Machine Learning Intern
Second Dynamics
, India
03.2024 - 06.2024
- Developed machine learning pipelines for processing sensor and financial data to enhance decision-support systems.
- Authored research paper on computational semiotics and adaptive control systems, contributing to academic discourse.
Data Analyst
Excelerate
, US
06.2023 - 07.2023
- Developed dashboards and statistical visualizations for informed business decisions.
- Enhanced quantitative analysis through critical thinking applied to real-world datasets.
Education
Bachelor of Science - Computer Science
Arizona State University
Tempe, AZ05.2027
Skills
- Python
- R
- C/C
- Java
- SQL
- NumPy
- pandas
- Scikit-learn
- Statsmodels
- CVXOPT
- TensorFlow
- Matplotlib
- Git/GitHub
Publications
- Adaptive Control Systems in Unmanned Surface Vehicles
- Computational Semiotics: Language, Logic and Flirting Systems
Quantitative Projects
- Equity Price Forecasting with ML, Modeled S&P; 500 price movements using ARIMA and LSTM deep learning models. Conducted backtesting with rolling windows; evaluated models using Sharpe ratio and volatility metrics.
- Adaptive Control System for USVs, Developed ML model to recommend optimal electric propulsion for unmanned surface vehicles. Automated feature extraction and classification, cutting manual analysis time significantly.
Timeline
Instructional Assistant / Grader
Arizona State University
09.2025 - Current
Machine Learning Intern
Second Dynamics
03.2024 - 06.2024
Data Analyst
Excelerate
06.2023 - 07.2023
Bachelor of Science - Computer Science
Arizona State University
Similar Profiles
MICHAELA R. O’LEARYMICHAELA R. O’LEARY
Political Consultant at Arizona State University, Delta Zeta Sorority, Arizona Grassroots AdvocatesPolitical Consultant at Arizona State University, Delta Zeta Sorority, Arizona Grassroots Advocates
Cody MarshallCody Marshall
Adaptive Head Trainer at Arizona State UniversityAdaptive Head Trainer at Arizona State University
Anna TennantAnna Tennant
Vice President of Campus Affairs at Arizona State University National Panhellenic CouncilVice President of Campus Affairs at Arizona State University National Panhellenic Council
Daniel Soto-RodriguezDaniel Soto-Rodriguez
Greek Leadership Village Assistant at Arizona State University, Tempe CampusGreek Leadership Village Assistant at Arizona State University, Tempe Campus
Devin BrownDevin Brown
Sourcing Attendee at MAGICSourcing Attendee at MAGIC