HEBA AHMED

***** ****** ****** **, *********, NC

(704)488 – 9319

ad4jx3@r.postjobfree.com

Computer Scientist with data analytics and visualization expertise. Team player who is flexible, reliable and adaptable to a dynamic environment. Enthusiastically looking forward to applying and sharpening my skills. Willing to learn and share knowledge across the organization

EDUCATION:

Data Analytics Bootcamp

University of North Carolina Charlotte, NC 2020

Intro to Data Science (DAT 7741) Central Piedmont Community College Charlotte, NC 2019

English Language Program University of North Carolina at Charlotte Charlotte, NC 2012

BSc in Computer Science UAE University Al-Ain, UAE 2004

TECHNICAL & PERSONAL SKILLS:

Computer Programming: Object Oriented Programming, JavaScript, Python, Visual Basic.

Data Analysis: Python, Pandas and many other Python Libraries. Data Visualization: Tableau, D3.js, Python Visualization.

Databases: SQL, Postgres, MySQL, MongoDB.

IT Management: Systems administration and maintenance, Network Management.

Excel: highly proficient using macros, PivotTables, review data sets, implement complex searches, conditional formatting, and advanced charting.

Strong verbal and written communication skills

Excellent Team Player

Bilingual (English and Arabic)

LINKS

Strong verbal and written communication skills

LinkedIn: https://www.linkedin.com/in/hebamohsen

GitHub: https://github.com/hebamohsen04

US WORK AUTHERIZATION

US citizen

CAREER HIGHLIGHTS

APPZLY INC

Data Analyst Charlotte, NC April 2021 - Present

Managed, collected, mined, and analyzed diverse data elements and sources. Focused on tasks to extract, analyze, review, validate and make suggestions from end-to-end on the quality and use of system data. Created and prepared interactive reports and visualizations using Tableau for senior leadership. Worked in teams and led project development and client meetings.

ASSOCIATION OF REGULATORY BOARDS OF OPTOMETRY (ARBO)

Event Admin Charlotte, NC April - July 2021

Led the design and delivery of the ARBO 2021 Online Annual Meeting. Setup the event web portal (PheedLoop), and integrations with online streaming frameworks (Zoom) and email and notification frameworks (AWS). Generated reports summarizing registration rates, attendee comments and engagement. Worked with the ARBO executive and operation directors to design, update, deploy and implement their online meeting needs.

THE NATIONAL BANK OF ABU DHABI

Assistant Manager Al-Ain, UAE Jan 2008 - Jan 2010

Managed and maintained client records. Created investment reports and progress reports to provide summaries for bank managers to aid in decision making. Represented the bank in several client meetings. Managed the communications between the bank’s main branch and regional branches.

ENVIRONMENT AGENCY

IT Manager Abu Dhabi, UAE Jun 2004 - Jan 2008

Managed the maintenance of the network and computers at the Abu Dhabi Environment Agency. Designed and implemented internal software and database projects. Created, designed and generated data reports, which were provided to administrators to guide decision making.

PROJECTS

Project 1: COVID19 in North Carolina Counties. This project was coded in Python. Used Pandas to clean and format my data, which included two datasets (NC Zip Codes and Census data). Created a Jupyter Notebook describing the data exploration and clean-up process. Merged both datasets and used them to illustrate the final data analysis which included several visualizations using the Matplotlib library to describe the statistics of COVID-19 cases in NC.

Project 2: ETL Project Netflix Movies. This project was coded in Python. Used SQLAlchemy and SQLite, Postgres and web scraping to get the database from the source and use Pandas to convert JSON file into dataframes for the Netflix data which included movie ratings, genres, and web links. The data was analyzed and visualized using Matplotlib to show the popular movies and ratings. GitHub: https://github.com/hebamohsen04/ETL-Project

Project 3: NYC Taxis and For Hire Trip. This project was coded in Python. Selected the data for December 2019 Original Data Size (22 Million Records), the data was provided by NYC transportation authority in the form of CSV files. Python was used to process the files and store them in a Postgres DB. The data was visualized on Tableau comparing Taxi and For-Hire trips, locations and revenue. GitHub: https://github.com/hebamohsen04/Project_2

Project 4: Rezoning in the City of Charlotte. Collected data from 2 data sources to create a Machine Learning Model that predicts if zoning change requests will be approved, denied, deferred, or withdrawn. Pulled “Rezoning History” data from the City of Charlotte through the ArcGIS API and converted a CSV of Charlotte’s “Quality of Life Explorer.” Used Python Pandas to import, clean, and export into an AWS S3 bucket. Using the data, created a machine learning model that predicts the outcome of future zoning requests.

GitHub: https://github.com/lmstevens/charlotte_rezoning_model

Contact this candidate