Promotion to primary client relationship manager and taking on a direct report for training, work assignment and career development.

Primary responsibility is managing custom primary research studies (quant and qual) from inception through data presentation. This includes:-Designing research to answer key business questions and address stakeholder priorities in industries such as technology, grocery, sustainability, HR, and digital media.-Interfacing with external partners and vendors to accurately forecast costs and price research projects for clients.-Managing fieldwork across a wide variety of platforms, methodologies, and recruitment criteria. Includes developing quotas and ensuring rigorous data quality standards -Analysis of primary research data using Excel, Python, Crosstabs, and other tools. Includes modeling of complex relationships using factor analysis, regression, maximum difference scaling and other analytical methods.-Construction of highly detailed market research reports in written (Word, Google Docs) and visual formats (Powerpoint, Google Slides). Includes custom development of data visualization aids across all platforms. -Presentation of results and findings to key clients and stakeholders.

Description: 550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.Projects:Predicting Soccer Matches: An Informed Betting StrategyAcquired historic data from multiple online sources and produced informative features using domain knowledge. Trained/tuned/tested multiple supervised ML algorithms with best performance achieved using logistic regression. Used the model's predictions to inform a betting strategy and generated a ROI of 5% using real historic odds over a 9-month simulation period.Git: https://github.com/nhcamp/EPL-BettingMedium: https://towardsdatascience.com/betting-on-the-english-premier-league-making-money-with-machine-learning-fb6938760c64?source=friends_link&sk=89231f42cdda8f100190013b40c2c074Yelp's Best Burritos: Classification and a Tool for Finding Undervalued RestaurantsAcquired Yelp Academic Data set and parsed files for relevant information (5m reviews). Implemented a multinomial naive bayes classifier with bigrams and feature selection to predict Yelp star ratings. Used sentence level sentiment analysis to identify restaurants with low star ratings but high quality burritos. Git: https://github.com/nhcamp/Yelp-Burrito-ReviewsMedium: In progress.

Implemented a predictive model in Excel to estimate labor costs and inform prices quoted to clients. Professional finish carpenter - independent problem solver.

Park's public facing science lecturer - scientific presentations written and delivered to large non-technical audiences.

Responsible for development and delivery of conservation and ecology based lessons to 6th grade students and teachers in a combined outdoor and classroom format. Also tasked with training high-school volunteers to teach science concepts to 6th graders within this format.

Designed and led ocean based lessons as well as snorkeling, hiking and kayaking adventures for school groups of all ages.