Kyle Hayes

651-***-**** Email GitHub LinkedIn

TECHNICAL PROJECTS

Minimizing_Bias_In_Offensive_Comment_Removal - GitHub Uses NLP to detect toxic online comments while minimizing false detections correlating with user demographic identity.

+ Categorizes 400k comment texts based on annotator toxicity and identity labels to minimize.

+ Cleans and vectorizes comment text using NLTK and Keras for the purpose of text classification.

+ Using AWS, creates range of shallow and deep learning models to optimize classification based on custom cost-function. Capital_Bikeshare_Usage - GitHub

Creates 12-month time-series prediction for Capital Bikeshare bicycles to determine supply requirement estimates.

+ Classifies bicycle rentals based on customer membership status in order to accurately determine customer trends.

+ Creates time-series regression models charting both member and non-member rental trends since 2010.

+ Uses models to predict the number of bicycle rentals per month through July 2020. Hospital_Readmittance_Rates_In_Diabetic_Patients - GitHub Predicts whether diabetic patients admitted to the hospital will be readmitted within twelve months.

+ Cleans and categorizes hospital admittance data based on whether diabetic patients are readmitted within the next year.

+ Prepares data for logistic regression by binning data instances based on discharge codes, illnesses, and medications used.

+ Creates a model using logistic regressions, random forests, AdaBoost, and gradient boosting. EMPLOYMENT HISTORY

International Baccalaureate, Bethesda, MD

Data Analytics Assistant, 11/2018 - 7/2019

+ Converted an inherited multi-year backlog of project reports to new operating system in under three weeks.

+ Became go-to staff member for creating SPSS data-set management scripts.

+ Built a reputation for promptly and accurately transferring written surveys to web-based live surveys. EnCompass LLC, Rockville, MD

Project Coordinator, 11/2017 - 5/2018

+ Successfully planned and coordinated logistics for two multi-week international field investigation events in under three weeks.

+ Developed a reputation for meticulously tracking and balancing multi-national project expenses.

+ Sought out by managers to maintain, update, and format Monitoring and Evaluation trackers. USAID-GHSC-PSM, Arlington, VA

Client Services Specialist Contractor (Chemonics), 3/2017 - 7/2017 Procurement and Supply Delivery Specialist (PFSCM), 11/2015-3/2017

+ Succeeded in preparing project accounts in eight countries for close-out prior to deadline.

+ Successfully resolved an inherited five-year backlog of accounting documentation in under three months.

+ Sought out by PFSCM manager to oversee account transference to Chemonics. EDUCATION

Flatiron School - Washington, DC - 2019

+ Immersive Bootcamp program focusing on Data Science and quantitative statistics The George Washington University - Washington, DC - 2015

+ Degree: Master of Arts, International Development. GPA: 3.73 Minor: Quantitative and qualitative evaluation

University of Wisconsin-Madison - Madison, WI - 2007

+ Degree: Bachelor of Arts, International Studies

TECHNICAL SKILLS

Python, OOP, SQL, SQLAlchemy, NoSQL, Scikit-learn, NumPy, Pandas, JSON, Keras, API Web Scraping, Statistical Modeling, Machine Learning, SPSS, Hadoop, AWS, TensorFlow, Seaborn, Matplotlib, BeautifulSoup, Jupyter Notebook, GitHub, Tableau Data scientist and machine learning engineer with a passion for delivering valuable insights via data analytics. Experience in data acquisition and modeling, statistical analysis, machine learning, deep learning, time-series modeling, and NLP. With an academics background involving quantitative and qualitative statistics, I bring strong skills in data mining and interpretation, cross-functional collaboration, and project facilitation that help diverse companies implement intuitive solutions to complex problems.

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