Christa Dawson

New York, NY, ***** Willing to Relocate 203-***-**** adl1sf@r.postjobfree.com GitHub Blog LinkedIn PROFESSIONAL SUMMARY

An agile learner and professional who combines exceptional interpersonal skills with strong analytical expertise. Skilled in data acquisition and data modeling, statistical analysis, machine learning, deep learning, recommendation systems, and NLP. With a background in recruiting, real estate, and finance. Strong capacities in mathematics, economics, team building, project management and sales to drive increased revenue and efficiency. Effective collaborator and relationship builder, recognized for versatility, creativity, perspective, sense of humor, and strong work ethic. TECHNICAL SKILLS

Excel, Python, SQL, SQLAlchemy, postgreSQL, scikit-learn, NumPy, Pandas, MatPlotlib, Seaborn, Tableau, WebScraping, Version Control (git) Keras, R, Stata12

TECHNICAL PROJECTS

NBA Prediction Outcomes - GitHub

Created a machine learning algorithm to predict the outcome of any given NBA game.

● Obtained and analyzed over 23,000 games from the 2003 season and beyond

● Data cleaned and featured engineered through domain knowledge and additional exploratory analysis using Scikit-learn, Seaborn, Matplotlib, Pandas, and NumPy

● Created several different models using various techniques and ultimately obtained an accuracy score of 67% Movie Recommendation Systems - GitHub

Used MovieLens data to recommend movies to any given user

● Retrieved over 100,000 movie ratings from MovieLens and performed exploratory data analysis using Statsmodel, Scikit-learn, Seaborn and Matplotlib

● Created a final model using KNN means and KNN baseline in order to retrieve an RMSE score of 0.8 (ratings on a 5 pt. scale) Tanzanian Water Well Crisis - Github

Created a model using Tanzanian water well data from Kaggle to predict which water wells were functional and which were not

● Sourced 59,000 observations on Tanzanian water well data and used exploratory data analysis to better understand features

● Data cleaned initial observations and featured engineered over 100+ new features

● Created 6 different binary classification models, with our final model at an 82% accuracy score. EMPLOYMENT HISTORY

Director, SquareFoot, New York, NY 06/2019 - 07/2020

● Lead brokerage team in successful transactions; finished 3rd and 4th in revenue closed for Q4 (2019) and Q1 (2020), respectively; promoted in nine months in recognition of performance and collaborative approach

● Perform financial analyses of all-costs associated with client’s office lease and projections of costs on lease terms +1 year using market data and forecasting techniques

● Perform market research and create market reports for the brokerage team to share internally, and externally with clients. Recruitment Specialist, Havas Health & You, New York, NY 01/ 2019 - 06/2019

● Supported senior management and candidates at every stage of the recruitment, negotiation and retention process

● Placed twelve candidates within the first two months; recognized for successful recruitment of high-level talent from competitors to the various Havas brands

Recruitment Consultant, Phaidon International, Boston, MA 05/ 2018 - 01/2019

● Earned first promotion within three months of employment, led team in all KPI’s;

● 2nd highest earner on team after the team leader with more than 8 candidate offers EDUCATION

Flatiron School, New York, NY 12/2020 - 4/2021

Immersive Data Science Bootcamp program, 2021

Kenyon College, Gambier, Ohio 06/2018

Bachelor’s Degree, Economics