MOHAMMED HELAL

**** **** *** ** (***) *** – ****

SEATTLE, WA – 98105 ac23vl@r.postjobfree.com

SUMMARY OF QUALIFICATIONS

Excellent programming skills in R and Python, and working knowledge of SQL.

Proven ability in predictive modeling through several successful Kaggle competitions (top 5%/4000 & top 13%/3000).

Strong math, statistics, and algorithm skills, with a good understanding of methods for clustering, dimensionality reduction, supervised learning, feature selection/engineering, and optimization.

Proficiency in manipulating/cleaning data, analyzing data for insights, and producing clean and informative visualizations.

Professional experience communicating with clients, collaborating in a multidisciplinary team, and leading teams through complex and time-sensitive projects.

EDUCATION

UNIVERSITY OF WASHINGTON – SEATTLE 2017 – 2019

MASTER OF SCIENCE (M.S.) DATA SCIENCE (NIGHT CLASSES) UNIVERSITY AT BUFFALO, STATE UNIVERSITY OF NEW YORK 2016 – 2017

MASTER OF SCIENCE (M.S.) OPERATIONS RESEARCH GPA 3.9 Data Mining, Stochastic Simulations, Stochastic Methods 1/2, Linear Programming, Discrete Optimization, Network Analysis CITY COLLEGE OF NEW YORK, CITY UNIVERSITY OF NEW YORK 2009 – 2013

BACHELOR OF ENGINEERING (B.ENG.) MECHANICAL ENGINEERING MGPA 3.5 TECHNICAL SKILLS

R, Python, Java – SQL – EXCEL, VBA – GUROBI, CPLEX – @RISK, ARENA, ANYLOGIC – TABLEAU – LINUX EMPLOYMENT

GRADUATE RESEARCH ASSISTANT UNIVERSITY AT BUFFALO – SUNY FEB. 2017 – MAY 2017 Developed an R library to aid in observational causal experiments. Developed a creative solution to avoid degeneracy by reformulating the model, and programmed custom network statistics in C. MECHANICAL ENGINEER LIRO ENGINEERS, SYOSSET, NY OCT. 2015 – AUG. 2016 Led technical projects in a fast-paced environment for the design of healthcare facilities and data centers. MECHANICAL ENGINEER PS&S ENGINEERING, WARREN, NJ JULY 2013 – OCT. 2015 Designed complex, mission-critical systems for the pharmaceutical industry. Analyzed system data for trends, fault analyses, and energy saving opportunities. Automated calculations in Excel VBA and the Revit API in C#. PROJECTS/RESEARCH

REDDIT JOKES NLP PROJECT OCT. 2017 – PRESENT

Working with a team of data scientists and novices to classify Reddit jokes. EDA: http://rpubs.com/mhelal00/redditjokes. MERCEDES-BENZ KAGGLE COMPETITION MAY 2017 – JULY 2017 Prepared/analyzed data, performed cluster analysis and dimensionality reduction including PCA, ICA, and logistic PCA. UNIVERSITY AT BUFFALO CRIME VISUALIZATION JAN. 2017 – MAY 2017 Developed a shiny app to study 6 years of crime data https://moefasa.shinyapps.io/ui_server_files/. TWO SIGMA: RENTAL LISTING INQUIRIES KAGGLE COMPETITION FEB. 2017 – APRIL 2017 Predicted the interest level of Renthop users to rental listings based on a host of rich features. Transformed and developed new features, performed empirical Bayes to estimate distributions, and used xgboost in R. GRAPH RANDOMIZATION IN NETWORK A/B EXPERIMENTS, Research Advisor: Dr. Alex Nikolaev OCT. 2016 – DEC. 2016 Created simulations using a large Facebook graph to study the effect of clusters in A/B experiments.