Vishal Nayak Email & Phone Number

Chicago, Illinois, United States

Ann Arbor, Michigan, United States

• This semester I began working as an instructional aide (IA) for the EECS 280 (Programming & Introductory Data Structures) course at the University of Michigan. My responsibilities include
• Holding weekly Office Hours to help students grasp lecture material & complete course projects.
• Writing thoughtful multiple choice & programming questions to assist professors in creating exams.
• Hosting weekly lab sessions during which I review course content, guide students through difficult programming assignments, and provide one-on-one mentoring to struggling students.

Ann Arbor, Michigan, United States

Ann Arbor, Michigan, United States

• As a quant developer on the Momentum team, my primary focus was to code strategies that utilized the principles of technical analysis to make trading decisions. Specifically, my main contributions were
• Designing a neural network to combine various technical indicators into a unified momentum-based trading strategy that increased overall P&L by 27 percent.
• Finding and implementing an efficient method for computing support & resistance levels for an equity given its historical price data.
• Developing & testing software to compute the Relative Strength Index (RSI), the Exponential Moving Average (EMA), the Moving Average Convergence Divergence (MACD), and various other technical indicators.

Ann Arbor, Michigan, United States

• As a quant developer on the Sentiment Analysis team, my primary focus was building machine learning models that analyzed earnings call transcripts and social media sites (e.g. Twitter, Reddit) to make trading.
• Writing Python scrapers to parse historical price data, earnings call transcripts, and WSJ headlines
• Building a Long Short-Term Memory (LSTM) algorithm that outperformed previous sentiment analysis strategies by 15 percent
• Researching alternative machine learning models such as Convolutional Neural Networks (CNNs) for use in our sentiment analysis strategies

Chicago, Illinois, United States

• As an intern at CTC, I completed a 10-week software development project and two courses in Options Theory and Mock Trading. In this position, I accomplished the following
• Streamlined our quant research process by hours by modifying our trading simulator to accept natively generated market data files
• Applied multithreading, column filtering, and struct alignment techniques to load market data files 10x faster than before.
• Achieved highest score on Options theory final exam and obtained a perfect score on the Mock Trading final exam.

Ann Arbor, Michigan, United States

I am currently working on a research project to better understand the role that Twitter has played during the COVID-19 pandemic. My main role has been to develop Python scripts that utilize libraries such as PySpark, Pandas, RegEx, and NLTK to complete the following tasks ・ Read in COVID-related tweets from the MIDAS Twitter Decahose ・ Clean raw Twitter.

Ann Arbor, Michigan

As part of the Undergraduate Research Opportunity Program (UROP), I collaborated with Dr. Paramveer Dhillon at the School of Information to ・ Build Reinforcement Learning (RL) algorithms that perform Natural Language Inference. ・ Process & clean vast amounts of Reddit data in order to train these RL algorithms. ・ Determine whether Reddit more closely.

Bachelor Of Science In Engineering - Bse, Computer Science, Sophomore, Gpa: 4.0 / 4.0

Activities and Societies: Michigan Investment Group (MIG) | Undergraduate Research Opportunity Program (UROP) | Michigan Student.

International Baccalaureate Diploma, 42 / 45

High School Diploma, Gpa: 4.45 / 4.00

Activities and Societies: Math Olympiad (Board Member) | Science Olympiad (Captain) | Chemistry Olympiad (Captain) | Varsity Tennis.