Data Medical

Summary

Results-oriented and highly motivated data enthusiast with robust training and experience seeking long term transition from medical technology into a data scientist role.

Skills:

Python/Pandas/NumPy/ Matplotlib, Data Visualization, Data Cleaning, Git & Version Control, MSBI(SSIS, SSRS SQL), Extract, Load, Transform(ETL), Data Manipulation, Power BI, Tableau, APIs/Web Scraping, Shell/Bash Scripting HTML/CSS/JavaScript, Machine Learning

Projects / Publication

Analyzing NYC High School Data

Investigated and correlated SAT scores with demographics factors like race, gender and income to determine their relationships or bias using pandas and matplotlib.

Visualizing the Gender Gap in College Degrees

Applied pandas plotting functionality along with the Jupyter notebook interface to explore data quickly using visualizations such as histograms, bar plots and scatter plots.

TV, Halftime Shows, and the Big Game

Cleaned, explored and analyzed Super Bowl Game data to answer questions such as How does the game affect television viewership? Who are the most prolific musicians in terms of halftime show performances?

Scala's Real-World Project Repository Data

Cleaned, analyzed and visualized data from Git and GitHub to determine who has had the most influence on its development and who the experts are.

Publication-Mapping and Evaluating Geomorphic Changes in the Area of the Arbuckle Anticline Rockslide along I-35, Oklahoma, Using Terrestrial Laser Scanner and Photogrammetry.

Collected, edited and analyzed point cloud data from the TLS system to reconstruct high resolution photorealistic models. https://utd-ir.tdl.org/handle/10735.1/5661

Experience

Data Science Training

Dataquest.io - Feb 2020 - Present

Utilized Pandas, NumPy, and other python libraries to analyze data

Created, explored cleaned, and manipulated data in multiple Pandas Dataframe

Utilized Jupyter and Colaboratory notebooks to visualize data using Matplotlib, Seaborn, and Plotly Utilized shell/Bash scripting to build ETL pipelines

Utilized GIT to update, monitor, and track changes

Queried PostgreSQL/MySQL databases using python connectors

Queried external data sources using an API. Created and processed API requests. Scraped data from multiple websites using BeautifulSoup and Scrapy

Business Intelligence Developer

Colaberry School of Data Science & Analytics - Mar 2020

Designed and implemented database systems using SQL

Developed and maintained dynamic reports and dashboards using SQL Server Reporting Services (SSRS) Created and maintained, SQL Queries. Worked extensively with functions and stored procedures Performed database queries involving multiple tables using joins

Extracted, loaded, and transformed data using SQL Server Integration Services(SSIS)

Medical Technologist

Baylor Scott & White Health - Feb 2013 - Present

Instructed, trained, guided others in processes and procedures Performed complex laboratory analysis and procedures

Calibrated instruments and performed quality control

Significantly decreased turn-around-times (TAT) by 30%.

Complied with work ethics, policies and procedures

Worked with team members to eliminate waste, formulate and implement ideas resulting in over 105% productivity

The University of Texas at Dallas Cybermapping Lab

Research Assistant 2015 - 2017

Demonstrate sophisticated expertise in generating 3D photorealistic outcrop models, employing remote sensing technologies, ArcGIS, and related trusted software solutions.

Deploy real-time kinematic (RTK) positioning to efficiently acquire integral data. Evaluate technical systems to ensure compliance with strict guidelines.

Collected, edited, and analyzed point cloud data from the TLS system to reconstruct high-resolution photorealistic models

Conducted and published a thesis comprised of a comprehensive analysis of geomorphic changes and associated implications.

Engaged in detailed climate and weather comparisons by means of instructional charts and illuminating histograms.

Collaborated with a dynamic team in spearheading basin analysis project. Investigated and identified critical elements and source information.

Exercised IHS Kingdom seismic and geological interpretation software to review and interpret a broad array of 2D and 3D seismic line data.

Launched and directed extensive examinations of hydrocarbon potential, prospects, plays, and systems. Effectively constructed and delivered high-impact presentations for prominent industry representatives.

Education

The University of Texas at Dallas

Master's degree, Geosciences - 2017

Ambrose Alli University

Bachelor's degree, Medical Laboratory Science – 2008

Colaberry School of Data Analytics

Data Analytics Certificate, Data Analytics – 2020

Dataquest.io

Data Scientist Certificate, Data Science - 2020

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