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Private Tutor / Trainer Resume

Houston, TX


Dynamic professional with 15 years’ experience in computer science and data analytics. High proficiency in mathematics, statistics and programming with an emphasis on machine and deep learning. Proficient in a range of analytics tools and data software packages. Ability to communicate clearly with technical and non - technical audiences.


Data Management: Data Analysis (Box-Cox method), Data Cleansing, Data Insight, Data Mining, Pattern and Trend Identification, Data Models, Data Visualization, Advanced Excel, Tableau, Power BI

Programming: C++, SAP BI, Python, PyCharm, Anaconda, R, R Studio, R Markdown, UNIX Shell Commands, SQL, Keras, TensorFlow

Office Tools: MS Office for Business, Visual Studio Team Server (VSTS), AGILE Scrum framework


Confidential, Houston, TX

Private Tutor / Trainer


  • Trained up to 4 students on software suites and IDEs including Python IDLE, R, RStudio, JMP, and Tableau resulting in a 2-letter grade jump on average
  • Advised up to 5 students on abstract data analysis processes such as information visualization, data cleaning, choosing models to fit data, and implementing forward compatibility in code

Confidential, Houston, TX



  • Developed Python program for checking timestamp format, detecting local time zone, and converting timestamps to UTC, and in the process taught my mentor module functionality he did not know existed
  • Successfully archived over 300 file changes to a Spark framework session and persisted them to a Hive database by writing a UNIX Shell command script
  • Explored dependencies and correlations in a dataset using SQL which lead to a reduction in scope for the Geneva project by bringing the number of data sources that needed an NLP applied from 3 to 2
  • Automated progress tracking using previously unknown functionality in VSTS, enabling the creation of a real time, progress tracking dashboard, saving managers about 10 minutes of look-up time, 3 times a day

Confidential, Houston, TX

Adjunct Professor of Developmental Mathematics


  • Calculated progress for 54 students using statistical methods and techniques
  • Collected and analyzed data to modify individual students' learning plans as needed

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