Dana Smith

832-***-****

adbdd0@r.postjobfree.com

Houston, TX

Portfolio: https://kundyz.github.io

GitHub: https://github.com/kundyz

LinkedIn: https://www.linkedin.com/in/kundyz-smith-63a47358/

Motivated, teamwork-oriented, and innovative Data Analyst/Python Developer with BS in Petroleum Engineering. Certified as a professional Data Analyst through Rice University. Worked on Radial Conductivity Testing Procedure for Filter Cake Breakers Project together with Metarock Laboratories and Newpark Drilling Fluids. Proficient knowledge in statistics, mathematics, and analytics. Eager to work with like-minded people in order to drive successful business solutions.

Technical Skills

Microsoft Excel, Pivot Tables, VBA Scripting, Modeling, Forecasting, Python, Pandas, NumPy, Matplotlib, SQLAlchemy, Flask Application, API Interactions, Social Media Mining, JSON, geoJSON, MySQL, SQLite, MongoDB, ETL Processing, HTML, CSS, Bootstrap, Dashboarding, Charting, JavaScript, Plotly, D3, Geomapping with Leaflet.js, R, Tableau, Web Development, Web Scraping with Python, BeautifulSoup, Big Data Analytics with Hadoop, GitHub, Git Bash, Heroku, Command Line, Data Visualization, Jupyter Notebook, Visual Studio, Machine Learning

Education

Rice University (Houston, TX) August 2019

Data Analytics Boot Camp

University of Houston (Houston, TX) December 2017

Bachelor of Science in Petroleum Engineering

Projects

Crime Correlation (https://github.com/olegmrnv/crime_correlations.git)

Group project to examine the possibility of correlations between crime and natural disasters by reviewing datasets for 2011 Earthquake in Louisa County, VA and after Hurricane Ike in Galveston, TX.

Tools: Microsoft Excel, Python, Pandas, Matplotlib, API, Jupyter Notebook

Texas Dream (https://github.com/olegmrnv/texas_dream.git)

Group project using multi-factor analysis of income, unemployment, school performance, and air quality data to determine optimum location to live in Texas.

Tools: Python, JavaScript, SQLite, Choropleth Mapping

Well Finder (https://github.com/kundyz/well_finder.git)

The purpose of this project is to apply Machine Learning (ML) to real-world problems in the petroleum industry.

Tools: Python, Pandas, Jupyter Notebook, Machine Learning

Petroleum Capstone Project: Radial Conductivity Testing Procedure for Filter Cake Breakers

Developed a testing procedure capable of measuring radial conductivity in a simulated borehole under pressure and temperature.

The testing procedure resulted in a 95.64% flowback for the first breaker, 86.38% flowback for the second breaker, and 110.25% flowback for the third breaker.

The first breaker showed a radial conductivity return of 0.556%, the second breaker showed 0.009%, and data for the third test was compromised either because of a leak or because the filter cake was not built up properly.

Experience

Interpreter/Translator Consultant/Self-Employed October 2014 – Present

Interpret in consecutive mode for medical, legal, business, and technical fields.

Provide simultaneous and consecutive modes of interpreting in federal, immigration, and district courts.

Perform sight-translation of court documents at depositions and hearings between parties of foreign origin.

Translate official documents, legal contracts, academic transcripts, official letters, web content, technical documents, etc.

Languages

Kazakh, Russian, English

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