Data Python

Ahmed Syed

**** ******** ***** **, *******, Texas 77095 • *****.********@*****.*** • 346-***-****

https://linkedin.com/in/ahmed-syed-248500 • https://github.com/ahmedsyed2485

SKILLS

Data Science Skills: Python (Pandas, Scikit-Learn, Seaborn) Data Cleaning, Data Modelling, Data Visualization SQL, Java Machine Learning (Regression/Classification/Clustering) Statistics Calculus Tableau AWS Excel

Interests: Financial Analytics, Business Analytics, Real Estate

EXPERIENCE

UH Data Analysis & Intelligence Systems Lab – Data Science Researcher October 2020 - Present

●Analyzed data to determine the effectiveness of social distancing by identifying COVID-19 predictors.

●Tasked with understanding the progression of COVID-19 in relation to social and policy changes nationwide.

HP Summer Scholars Program – Apprentice June-August 2020

Participated in interactive discussions with HP Professionals about Finance, Data Analytics, and Supply Chain.

Developed technical and financial skills to assess business analytics globally.

PROJECTS

Who will win the 2032 US Primaries? – Researcher - https://rb.gy/fv4phb September-October 2020

●Created visuals depicting correlations between U.S. demographics.

●Analyzed data using Pandas, Matplotlib, and Numpy within Python to compare candidates in different counties.

●Used a Random-Forest Regression model to predict the winners in the 2032 US primaries.

●Concluded that Donald Trump would be even more successful in 2032 by winning in 2592 counties, while Ted Cruz and Marco Rubio would struggle only winning in 117 and 2 counties respectively.

LSTM Stock Price Prediction/TAMU Datathon – Researcher - https://rb.gy/ippwu4 October 2020

●Built an LSTM Neural Network model to predict whether an investor should buy, sell, or hold a stock.

●Tuned our model using hyperparameters to predict that the investor will make $1400 after putting in $1000.

●Finished Top-10 in the largest Datathon in the world.

NBA Machine Learning Prediction – Researcher July 2020

Created a Multi-Linear Regression model to predict players Points Per Game.

Tested formula on Lebron James throughout his career and was always within 2 Points Per Game.

Used this model to predict Points Per Game with over 98.77% accuracy given certain variables.

NBA Data Visualization – Researcher June 2020

Imported a dataset with over 1 million data points.

Cleaned the data by filtering rows and dropping certain columns and Nans using Pandas in Python.

Created a linear graph visualizing NBA position trends from 1950-2017 using Matplotlib and Plotly.

EXTRACURRICULAR ACTIVITIES

MISSO – Member August 2019 – May 2020

●Facilitated organization in preparation for BHP team to conduct Technical Questions Workshop.

●Refined Microsoft Azure skills by engaging in Pariveda’s Business Analytics Workshop.

Future Business Leaders of America – Treasurer August 2018 – May 2019

●Co-founded a club at school specializing in business knowledge, ethics, and leadership.

●Organized a car show fundraiser raising over $500.

EDUCATION

University of Houston – Honors College, Houston, Texas May 2022

Bachelor of Business Administration in Management Information Systems

Overall GPA: 3.57

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