Data Analysis

MAHAD BOOH

** ******** *****, **********, ** ****5 860-***-**** ac4hm7@r.postjobfree.com

Objective

Seeking a full-time position in the field of Data Science/data analytics

EDUCATION

University Of Connecticut, Storrs, CT

Bachelor of Science, Math/Statistics Fall 2017

Overall GPA: 3.2/4.00

SKILLS

Software: Microsoft Word, Microsoft Excel

Programming: Basic programming skills in R, Python and SAS

Familiar with SQL

Statistical data modeling: Simple/Multiple Linear Regressions, Logistic Regression.

Math: Analysis of numerical methods, Round off error and computational speed and approximate integration.

RELEVANT COURSES

Analysis of Experiment

Design of Experiment

Mathematical Statistics

Numerical Analysis

Probability

DATA MODELING

Created a model that predicts if height is an important component on how good a soccer player can be based on regression analysis.

The objective of this model was to investigate if there is a correlation or relationship between a soccer player’s height particularly strikers and some suspected factors such as goals, assists, goals per match, shots on target, goals with header, and goals with footer. Using these factors, it can be determined how one’s height can impact their success in soccer.

If the aim is to predict if height is important, then large data will be needed to get good estimation in our model. More factors are needed because in our case in order to run a good model that performs well, it is essential to have more variables and as many observations as possible.

Following the above assumption, I randomly collected the data of the height of 35 soccer players above 6ft and the height of 35 players below 6ft – a total of 70 players from 2005 to 2016. These players range from 22 to 30 years of age. This data is collected from the top two soccer leagues in the world – EPL (English Premier league) and La Liga (Spanish league).

For analysis I used on three methods 1) multiple regression analysis (The analysis of variance (ANOVA) table and Residuals 2) Normal distribution (Residual vs Quantile Plot) 3) Scatter plots

After examining these factors using regression analysis, we got mixed results. The results indicate that height of soccer player is significant factor only when it comes to GH (goals with head). This makes sense because it is more likely a taller player will jump higher than shorter one, which is why height is important for GH. On the other hand, we find height is not a significant factor for the remaining factors.

ENGINEERING PROJECTS

Designed and built, with a team of four students, a Robot that is given a specific amount of time to clear the area of the items and recognize the various items placed in the terrain.

Interests:

Running, Swimming, Travelling, Rock Climbing

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