Availability: May. 2022
Email: aaditya.watwe@gmail.com
LinkedIn: aadityawatwe
Sept. 2018 to May 2022
GPA: 3.970/4.0
Artificial Intelligence, Object-Oriented Design, Machine Learning and Data Mining I & II, Software Development, Algorithms and Data, Natural Language Processing, Database Design, Computer Systems, Foundations of Data Science, Mathematics of Data Models, Information Visualization for Business, Theory of Computation, Embedded Design, Discrete Structures, Computer Science Fundamentals 1 & 2
Dean’s List Scholar (Fall 2018 – present), Honors Program (Spring 2019 – present)
Python, C and C++, SQL, Java, TypeScript, JavaScript, Bash scripting, R, HTLM, CSS
Python, C and C++, SQL, Java, TypeScript, JavaScript, Bash scripting, R, HTLM, CSS
Aug. 2021 to Dec. 2021
- Developed data pipeline for radar track classification, with dataset augmentation for problematic tracks
- Languages and Software: Python, PrestoSQL, Bash, Protobuf
- Ongoing: Owned full-stack project to run object detector/classifier inference and evaluate confusion errors on a battery of unit tests – Visualized model results with React web app including tunable class thresholds
- Languages and Software: Python, Bash, TypeScript, React
- Automated the creation of image labeling projects using parametrized SQL queries and scheduled scripts
- Languages and Software: Python, PrestoSQL, Bash
Jun. 2021 to Aug. 2021
- Implemented a low-latency networking gateway for an internal quoter application using the Nasdaq SQF networking protocol, to send option quotes and cancels – * Languages and Software: C++, Boost, GoogleTest
- Collaborated to write a Wireshark dissector for the Nasdaq SQF protocol to parse TCP network data and generate a human-readable output for debugging and monitoring purposes
- Languages and Software: Lua, C++, Wireshark
Jun. 2020 to Dec. 2020
- Developed and implemented a novel foreign currency trading indicator which integrates machine-learning, time-series analysis, cross-sectional analysis, and statistical modeling – resulting in 4.5% increase in annualized return and 40% reduction in drawdowns versus benchmark
- Languages and Software: R language, SQL Server, R Studio, Bloomberg Terminal
- Created optimized R-language libraries for generic time-series data munging, automating the generation of excel reports for series of returns, and for applying given machine-learning algorithms over time-series data with rolling training and testing windows
- Languages and Software: R language, SQL Server, R Studio
- Designed a full-stack web-application for the fixed-income team to record UBS analyst projections and projected asset performance
- Languages and Software: Python, SQL Server, Flask, JavaScript, JQuery, HTLM and CSS, PyCharm
Mar. 2021 to May. 2021
- Languages and Software: Python, Jupyter, Git, scikit-learn, Keras (TensorFlow)
- Compiled a dataset of daily OHLC prices and volume of 1800+ equities for a 20-year span using a python script
- Ran pairwise analyses and regressions to find assets with highly correlated daily returns
- Developed a recurrent neural network to predict the future ratio of equity prices to inform pairs-trading
Feb. 2021 to May. 2021
- Languages and Software: Java, Maven, TCP, Java Swing, IntelliJ IDE, Junit
- Developed a turn-based, roguelike game with TCP-based networking to support remote game clients, and a local game API to support a client GUI or AI plugins for in-game adversaries.
Mar. 2021 to May. 2021
- Languages and Software: Python, Jupyter, Git, scikit-learn, Keras (TensorFlow)
- Developed a convolutional neural network, paired with an ensemble of other models, to predict the future returns of a basket of assets and broad market indicators
Apr. 2020 – May 2020
- Languages and Software: Python, Jupyter, Git, Scikit-learn, Keras (TensorFlow)
- Created a novel lyrics classification method to sort web-scraped lyrics into one of four genres based on individually classifying each section of a song and choosing the genre with the greatest vote
Apr. 2020 – May 2020
- Languages and Software: Python, Jupyter, Git, Scikit-learn, Keras (TensorFlow)
- Constructed a neural network regressor to predict wages given demographic data with 0.5488 R2 value
- Conducted analyses of demographic factors on wages in the US from 2018
Nov. 2019 – Dec. 2019
- Languages and Software: C++, Vim, MobaXterm, Simulink on MATLAB Desktop, Xilinx System Generator
- Designed program to control colors of box and background on a VGA monitor using a command-line menu
- Programmed the FPGA on a ZedBoard to move box on the display via buttons
May 2019 - Jun. 2019
- Languages and Software: Java, Java Swing, IntelliJ IDE, Junit testing
- Designed animator with the following capabilities reads SVG or proprietary format text files, plays animation at desired speed, GUI to edit animation, outputs SVG or text representation of animation
- Languages and Software: Python, MySQL, PyCharm IDE, MySQL Workbench
- Designed relational database and command-line frontend to track employees and customer data, scheduling, and inventory for simple hair salon; anonymous data sourced from local hair salons
Karate (1st degree blackbelt), personal finance, nutrition, painting, religion, philosophy and debate
Deep learning, convolutional neural networks, data science, feature construction and selection
Fluent: English, Marathi; Conversational: French, Hindi