Data Science Research Assistant

Anirudh Dahiya

+1-617-***-**** ad0375@r.postjobfree.com linkedin.com/anirudhdahiya Github: anirudhsinghdahiya Education

University of Wisconsin, Madison Madison, WI

Bachelor of Science in Computer Science, Data Science (Dean’s List) Sept. 2021 – May 2025 Technical Skills

Languages: Java, Python, C/C++, SQL, R, JavaScript Frameworks APIs: Flask (RESTful API), FastAPI, Django, Spring Boot, React, Angular, TensorFlow, PyTorch Developer Tools: Git, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse, Docker Libraries Databases: pandas, NumPy, Matplotlib, SciPy, seaborn, scikit-learn, statsmodels, NLTK, spaCy, MySQL Experience

Undergraduate Research Assistant July 2023 – Present University of Wisconsin-Madison Madison, WI

• Revamped CDVAE’s predictive algorithms using PyTorch and TensorFlow, significantly enhancing the precision of material structure predictions.

• Developed a latent space analysis feature for CDVAE, streamlining inverse design processes by 25% and advancing compound synthesis capabilities.

• Managed CDVAE’s algorithm dependencies with Conda, optimizing project setup and team collaboration. Formula SAE Sep. 2021 – Jan. 2022

University of Wisconsin-Madison Madison, WI

• Engineered battery management system firmware in C, enhancing efficiency by 10% and extending charge cycles.

• Played a key role in design initiatives, contributing solutions that informed the final vehicle design.

• Ensured equipment functionality and safety through regular inspections. University Desk Services June 2022 – Oct 2022

University of Wisconsin-Madison Madison, WI

• Enhanced attendee experience by resolving inquiries and facilitating seamless team collaboration.

• Streamlined conference logistics, from scheduling to on-site execution, improving event efficiency. Projects

NeuroCaption Python, PyTorch, torchvision, CNN, LSTM, TensorBoard Link Sep. 2023 – Present

• Engineered a deep learning system for image captioning in PyTorch, which autonomously crafts accurate descriptions for images, trained on the Flickr8k dataset.

• Designed and built a two-tier model: utilized Inception V3 CNN for advanced feature extraction and LSTM for generating pertinent captions, enhancing model efficacy.

• Integrated torchvision for streamlined image preprocessing, resulting in uniform model input, and leveraged TensorBoard to monitor model performance metrics dynamically. FlightMapper Java, DOT, Dijkstra’s Algorithm, Git Link Sep. 2022 – Dec. 2022

• Pioneered a pathfinding application in Java, employing Dijkstra’s Algorithm to efficiently map optimal airport routes, integrating DOT for advanced graph visualization and analysis.

• Directed the full project lifecycle, from conceptualizing algorithmic frameworks to overseeing data management, resulting in a highly efficient solution for flight path analysis.

• Delivered a practical flight planning tool, resolving complex routing challenges and contributing to streamlined operational planning.

Grades to Gates R, tidyverse, lubridate, Binomial distributions Link Sep. 2022 – Dec. 2022

• Conducted a comprehensive analysis of the correlation between high school grades and college selection, utilizing R and tidyverse to parse data for public versus private institution choices.

• Employed advanced statistical techniques, such as Binomial distributions and hypothesis testing, to extract significant patterns and trends affecting educational pathways.

• Uncovered actionable insights that informed educational policy recommendations, emphasizing equity in college admissions processes.

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