Maine East High School

I assist students in becoming the best policy debaters they can be. This involves coaching them every week, attending tournaments to judge and prep, and researching articles on the current topic of protection of United States water resources.

Assistant Debate Coach

Appen

I work on the ML4Crowd team, where we aim to build models to solve problems related to monitoring the million-strong contributor crowd at Appen.

Unfortunately, my role was affected by the Sept 2022 layoffs.

Data Scientist

Speeko

I lead Speeko's data science efforts, ranging from user behavior analysis to speech recognition technologies. I work on refining Speeko metrics used in app to help users crush their public speaking goals, as well as general research and development into new data-oriented features.

Lead Data Scientist

University of Chicago

Given two randomly selected research papers, is it possible to predict the probability that these are co-cited together in a future paper? I worked on answering this question at this research position, utilizing deep learning and natural language processing techniques.

Research Assistant

Going to college can be filled with uncertainty, and it is our responsibility as Peer Mentors to help mitigate these fears, and uplift incoming first year students with their transition. My responsibilities include serving as a resource through our online Wisr.io community, guiding students through monthly modules discussion responsibilities and expectations for college, and setting up times for discussion specific concerns with students if necessary.

Peer Mentor (Inaugural Class)

I tutored undergraduate students on a walk-in basis at the University of Chicago in introductory statistics courses. I find that being a tutor allows me to strengthen my knowledge base, as well as my ability to concisely explain concepts to students aloud. I found the most gratifying moments from this job where when I could help students completely grasp a concept they had trouble with at the start of my shift.

Core Tutor (Statistics)

My work at Speeko involves analyzing thousands of users within our application in order to inform and accelerate our growth. I use dashboards such as Mixpanel  as well as powerful programming languages such as R and Python in order to understand our user base. I work on developing data visualizations and models of user behavior to convey my findings directly to our CEO and CPO, as well as to suggest routes for A/B testing changes to our app. Finally, I create models to predict user conversion and churn.

Data Science Intern  

In this role, I developed and validated speech analytics models for our mobile app, in order to facilitate providing automated feedback to users on their speech. 

I wrote scripts to analyze performance of our current approaches, I annotated data for our models, and I got a few projects of my own to work on. I was tasked with developing a new approach to conveying filled pause detection in our app. Starting with very little prior experience in NLP, speech signal processing, machine learning, and linguistics, I taught myself the basics of these skills and researched a new approach, generated datasets, and built a working model for filled pause detection, that became implemented in-app. 

I also assessed the quality of current data visualizations within the app, and suggested changes to optimize user interpretation of their own speech patterns. Finally, as we were apart of the 2018 Techstars Chicago cohort, I was able to attend entrepreneurship programming to expand and put into context my responsibilities in building out metrics for our app.

Data Science Intern  (Techstars 2018, Jeff Metcalf Award Recipient)

As a Resident Dean Assistant, I helped the Resident Deans of Campus North East (a dormitory at U) plan, and execute events for 400+ students residing there. I made posters, managed a facebook group of about 700 members, pitched event ideas, and attended them in order to ensure they ran smoothly. We invited professors to give talks, showed movies, held study breaks,  parties, and video game tournaments for students to relax. 


Responsibilities included advertising for events such as faculty speakers, study breaks, and themed parties, as well as staffing and engaging with attendants.

Resident Dean Assistant

Self-employed

I judge policy debates at the high school varsity level, usually on weekends. This includes listening to speeches and providing constructive feedback to competitors, in order to better their own skills.

High School Debate Judge

I worked with Speeko to develop market assessments, contribute to speech metric analysis, and maintain outreach. 

During the internship, I taught myself Python and R and was moved to the metrics team to develop approaches at quantifying constructive speech feedback. This includes statistical analysis of audio features using R and data science packages, as well as generating  basic machine learning models for interpreting and predicting public speaking performance. (speeko.co).

Operations Intern (Alper Fellow)

Everyone should take a course in statistics. There’s no other way to learn how to think about problems at scale, and to understand how to reasonably advance a conclusion from data. 

This is why I love being a data scientist, and why I enjoy working on hard problems using statistics and machine learning. When I'm not doing that, I spend my free time working on original origami artwork and coaching high school students at Maine East become better policy debaters. 

I'm looking for my next opportunity! If you have something that you think may interested me, please contact me at arjunkirtipatel@gmail.com or through DM here on Linkedin. Thank you!

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