Mechanical Engineer Data Analyst

Youssef EL Kassem

Washington, D.C. +1-718-***-**** ******@***.*** LinkedIn

EDUCATION

New York University, Tandon School of Engineering, New York, NY. Sep. 2018 – May.2020

Master of Science, Management of Technology

GPA: 3.54

United Arab Emirates University, Dubai, United Arab Emirates Feb.2013 – Dec.2017

Bachelor of Science, Mechanical Engineering with a Minor in Mechatronics

GPA: 3.88

EXPERIENCE

Data and Business Analyst Intern, God’s Love We Deliver, New York, NY Sep.2019 – Nov.2019

●Developed two executive KPI dashboards for the top executives to understand client’s demographics.

●Conducted user training sessions, which resulted in a more accurate use of the interface by the staff.

●Troubleshoot ETL failures and performed manual loads of customer’s data using SQL stored procedures.

●Created database schema and number of database objects using SQL Server management studio.

MEP Engineer Intern, Aloft Hotel, Abu Dhabi, United Arab Emirates. Aug.2016 – Dec.2016

●Completed site inspections for HVAC, fire safety, and plumbing installation.

●Documented and reported to senior MEP Engineer work progress and estimated time to completion.

Research Assistant Engineer, United Arab Emirate University, Abu Dhabi Sep.2014 – Dec.2017

Designed and built a full-scale automated irrigation system using solenoid valves, Arduino, and moisture control sensors in less than six months, and achieved a better-quality and a higher volume lettuce crops in a 60-day cycle.

Analyzed and optimized vortex tubes performance utilizing CFD, finding the optimum performance to be at 4-bar.

Studied the super-spreading effect of MERS-Cov virus using agent-based modeling and real patient’s data sets.

TECHNICAL SKILLS

●Programming Languages: C, Python, R, and MATLAB.

●Data Science: Pandas, NumPy, SciKit-learn, SciPy, PostgreSQL, ETL, Jupyter, advanced Excel, and Alteryx.

●Data visualization: Tableau, Power BI, Gephi, Matplotlib, and Seaborn.

●Machine Learning: Supervised and Unsupervised ML - regression and classification, Naïve Bayes, KNN, Perception, SVM, decision trees, K-means, logistical regression, gradient decent, LDA, PCA.

●Statistics: Descriptive Statistics, Statistical Inference, Time Series Analysis and Forecasting, Descriptive and Predictive Data Mining.

●Software Quality Assurance: Testcase design and execution. Manual and automated testing. Jira and ALM.

PROJECTS

●Customer decision tree: Developed and algorithm that uses customers data and previous purchasing habits to predict future transactions for a chocolate-selling business website using KNN, pandas, NumPy.

●Restaurant violation classifier: Developed a supervised algorithm to classify 400 thousand violations reported on more than 5000 restaurants in New York City using SciKit-learn, and SVM, achieved an accuracy of 60%.

●Bike Sharing System Analytics: Analyzed data from 600 stations and over 14000 user’s data, obtained the distribution network utilizing Gephi and used the results to build a predictive multi-regression model.

●Fraud Detector: Developed a machine learning algorithm using a real-life customers data to detect fraud and future payment default, using “Perception” and dimension reduction (PCA), resulting in an accuracy of 76%.

●Day-trading stock advisor: Built stock price predictor using KNN, pandas, NumPy, and Matplotlib, with an 80% accuracy.

AWARDS

Awarded a full scholarship from SMSP to complete my graduate studies at New York University. The scholarship is awarded to 24 students annually studying at the federal universities of the U.A.E., who must complete one year studying topics such as leadership, public speaking, critical thinking, persuasive writing, and emotional intelligence.

Analytics stack, Azure Data Lake, Azure Databricks, Azure Data Factory.

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