• Developed data driven strategies to grow SaaS products ReMind + Ops user base, increase usage, & increase perceived value from existing users. Used analytical abilities to discern power user groups to better understand how they were using the product & the value they derived.• Conducted extensive user research & utilized Figma to design the UI layout & structure for the new marketing site of the SaaS product ReMind. Managed 4 person team of graphic designers & React.js developers in buildout efforts. Directed the entire development process from start to finish.• Analyzed existing user data & developed & implemented strategies to simplify upselling ReMind + FloQast Ops as upsells in the sales process.• Expanded Full Stack knowledge, by completing the following courses: Scrimba: Learn JavaScript, Scrimba: HTML + CSS Crash Course, FrontEnd Masters: Intro to Databases, FrontEnd Masters: Intro into Node, FrontEnd Masters: API Design in Node. Developed agile work methodologies.

• Participated in full-time immersive Data Science course, completing in-class projects, hackathons, and personal projects focused on real-world applications of data science principles and best practices. Developed a portfolio of individually and collaboratively focused in-class projects. Will have my Capstone project up soon in my featured links soon.• NLP Capstone: Mined top 4 stock subreddits for 180,000 posts. Extracted sentiment composite values from data. Used sentiment composite as a predictive feature in RNN time-series forecasting to predict price movement. Overlaid sentiment composites on stock price data to assess causal relationship. Entirety of work done in 96 GB 48 core AWS instance.• For NLP project, acquired & processed 24,000 posts from two subreddits & aggregated key insights from data. Achieved 94% accuracy with NLP classification model built to determine post origin by subreddit.• Applied complex regression model to sizable dataset to predict Ames, IA home prices. Identified key predictive features, achieved RMSE of $23,408 using Lasso regression & feature engineering.• Assessed & identified leading causes for 2019 Chicago fatal vehicle accidents. Applied SMOTE, AdaBoost, Log Reg & K-Means. Made safety recommendations for government, drivers, & self-driving vehicle manufacturers.

• Invented hardware solutions & developed procedures to improve production time by 40%, saving $2,900 per month on contractor costs. New processing method enabled a 55% increase in throughput.• Supervised lab team which generated 80% of total company revenue. Quadrupled throughput in 1 year.• Engineered data collection process for all production steps to measure & improve productivity, quality, & throughput. Results enabled a production baseline, reliable commitments to suppliers & buyers, & normalized worker schedules.• Advised CEO of onset operation issues. Suggested proven alternatives & implemented solutions to safeguard operations.

• Reduced service agreement generation time from 1-2 hrs to 10 min, and delivery times from 1-3 days to under 15 min.• Increased customer conversion & LTV by developing systems to reduce response times & to enable leadership-driven solutions for discontent customers. Increased daily agreements delivered from around 8 to 25 on top-performing days.• Executed B2B growth marketing campaigns through LinkedIn & Klaviyo.• Designed & implemented workflows to optimize sales team productivity. Used Virtual Assistants, PandaDoc, and Slack channel collaboration to automate service agreement creation and to better measure KPIs.

• Worked as an electric scooter mechanic during the early stages of the startup• Performed mechanical and electrical work on Bird Scooters