Experience

Chill Pill

• Graphic Design
• 1 - 100 Employee

• Founder & CEO

  • Jul 2021 - Present

  🍄 Chill Pill is a multi-level app helping young womxn better understand themselves & mental health through community, friendship, and open communication. 🗽we are hiring in NYC and remote! 🌈 Chill Pill has raised over $1.1m in venture funding and is backed by Stellation Capital, Notation Capital, Expa, the founders of Brat TV, The Fund, and Supernode Ventures. 🍄 Chill Pill is a multi-level app helping young womxn better understand themselves & mental health through community, friendship, and open communication. 🗽we are hiring in NYC and remote! 🌈 Chill Pill has raised over $1.1m in venture funding and is backed by Stellation Capital, Notation Capital, Expa, the founders of Brat TV, The Fund, and Supernode Ventures.



The Knowledge Society (TKS)

• Canada
• Higher Education
• 300 - 400 Employee

• Director (NYC)

  • Jun 2019 - Jun 2021

  The Knowledge Society is a 10-month accelerator program with weekly sessions designed for students ages 13-17. Students apply and interview before joining. Highlights: • Built and launched the New York program of The Knowledge Society (TKS) • Ran all programming and operations for NYC program; developed scalable processes, products, and frameworks that are used to scale the program to other cities • Grew NYC program to 150+ current students and alumni resulting in over $500k revenue • Designed curriculum and coached students to build knowledge across a broad range of emerging technologies such as Virtual Reality, Artificial Intelligence, Nanotechnology, Space Tech, and Genetic Engineering through project-based learning and guidance from industry mentors • Cultivated relationships with entrepreneurs, engineers, and designers across a broad sector of technologies to organize speaking events and provide unique opportunities for students while building out a global community of mentors • Developed students’ skills in public speaking, writing, video production, and project management • Worked with executives at companies such as The LEGO Group and BSE Global to sponsor and design consulting challenges for students to gain experience solving real-world problems for billion-dollar companies For more information, visit tks.world. Show less



BerlandTeam

• Netherlands
• Design Services
• 1 - 100 Employee

• Lead Data Scientist

  • Nov 2018 - Jun 2019

  Founded the data science practice at a market research and brand strategy firm and developed innovative analytical capabilities previously unfeasible for the company. Developed innovative analytical capabilities that were previously unfeasible for this company. • Developed scalable, automated data collection API in Python to aggregate consumer opinions from Reddit, Twitter, print media, and review websites such as TripAdvisor; employed Scrapy, Selenium, and public API endpoints to build the ETL process, loaded into a Mongo database hosted on AWS • Designed an interactive topic model using a labeled anchors algorithm to extract nuanced market insights from social media data and built a UI in JavaScript to facilitate user interaction and topic refinement • Automated routine statistical analyses with an R Shiny app, enabling the research team to perform recurrent tests on poll data • Aided in the design of a composite indicator score to summarize complex, multi-dimensional consumer attitudes to quantify a client’s momentum in their market at a given point in time using natural language processing Show less



NYC Data Science Academy

• United States
• Higher Education
• 1 - 100 Employee

• Data Science Fellow

  • Jul 2018 - Sep 2018

  Projects: https://nycdatascience.com/blog/author/hkcaddes/ - Immersive 12-week data science bootcamp in machine learning, big data, advanced statistics, data analytics & visualization - Designed system for concert-goers to determine the probability of a given ticket being sold on a day-by-day basis; built robust AWS pipeline with SQL-based relational databases, obtained raw data from multiple APIs, utilized Bayesian models - Developed interactive web application using the R Shiny package that visualizes geolocation data of 4-year universities in the US and enables prospective college students to search schools based on 50+ variables, such as size and majors offered - Extracted data and pharmaceutical industry market insights on customer demographics, needs, and preferences for the top six most-reviewed opioid analgesics on WebMD using Python webscraping tool Scrapy coupled with statistical analysis - Implemented machine learning algorithms – Random Forest, Gradient Boosting, ElasticNet regression, stacking/ ensembling techniques – and used creative feature engineering to predict housing prices in Ames, Iowa Show less



Columbia University in the City of New York

• Higher Education
• 1 - 100 Employee

• Process Engineering Researcher

  • Jan 2018 - Sep 2018

  • Developed and standardized chemical engineering process safety educational computer simulations • Conducted statistical analysis (Python) on student outcome data to validate research hypotheses • Developed and standardized chemical engineering process safety educational computer simulations • Conducted statistical analysis (Python) on student outcome data to validate research hypotheses



Competitive Edge Tutoring

• Math & Science Coursework Tutor

  • Aug 2017 - Sep 2018

  - Tutored high school students in math, physics, and chemistry coursework - Developed customized teaching plans to build students' academic confidence and to improve their coursework performance - Tutored high school students in math, physics, and chemistry coursework - Developed customized teaching plans to build students' academic confidence and to improve their coursework performance

• Biochemical Engineering Researcher

  • Jan 2016 - Mar 2017

  - Developed end-to-end process to design reactors that produce biofuels from iron-oxidizing bacteria and renewable electricity - Constructed experiments to generate data, used nonlinear (ODE) regression models to drive reactor design - Developed end-to-end process to design reactors that produce biofuels from iron-oxidizing bacteria and renewable electricity - Constructed experiments to generate data, used nonlinear (ODE) regression models to drive reactor design



Boeing

• United States
• Aviation and Aerospace Component Manufacturing
• 1 - 100 Employee

• Engineering Intern

  • May 2016 - Aug 2016

  - Collaborated with a Materials, Process & Physics Engineering team within the Boeing Research & Technology division - Built Python program that visualizes and transforms raw data from Microscale Combustion Calorimetry instruments and automates the characterization of raw materials’ flammability properties - Collaborated with a Materials, Process & Physics Engineering team within the Boeing Research & Technology division - Built Python program that visualizes and transforms raw data from Microscale Combustion Calorimetry instruments and automates the characterization of raw materials’ flammability properties



University of Puget Sound

• United States
• Higher Education
• 700 & Above Employee

• Chemistry Researcher

  • May 2014 - May 2015

  Organic chemistry researcher -Applied for and received a Murdock grant to perform organic chemistry research on ‘synthesis of pyridone-based ligands for homogenous hydrogenation iron-based catalysts’ with professor Luc Boisvert -Wrote grant proposal outlining research, which resulted in funding -Designed experiments and optimized chemical processes -Wrote 35-page report identifying findings and outlining direction for future work -Presented original poster at the ACS National Exposition in Denver (March 2015) Show less