Background

Experienced software engineer with extensive expertise in both data engineering and data science. With a solid foundation in computer science and a deep understanding of data manipulation, analysis, and transformation, I bring a unique blend of technical proficiency and analytical prowess to every project I undertake.

Job experience

• June 2020 -
  Software Engineer & Data Scientist
  ComboCurve
  

  Houston, TX, USA

  Software Development
  ● Served as a back-end developer, contributing to the design and implementation of enterprise-level web applications.
  ● Architected, constructed, and deployed cloud functions to enhance the speed and efficiency of the company's data
  analytics tools, enabling rapid processing and analysis of user data.
  ● Engineered APIs that reduced processing and analysis time for oil and gas production data from 1 million wells by 90%.
  ● Enhanced efficiency, accuracy, and scalability of the forecast engine through modular design and requirement analysis.
  ● Created and implemented unit tests for more than 20 applications to ensure quality assurance.
  ● Possessed extensive experience in Agile/Scrum software development life cycle and proficiency in CI/CD workflows.
  Data Engineering
  ● Designed and built ETL pipelines for 100+ enterprise clients to generate technical reports and statistical analysis results.
  ● Conceptualize and implement scalable, automated, and user-friendly solutions for statistical analysis and prediction.
  ● Designed queries to retrieve and combine data from MongoDB and BigQuery and improved query performance.
  ● Architected high-performance models to accelerate the analysis of 25k wells, reducing 30% computational time.
  ● Established knowledge bases and scripts, flattening user learning curve and improving user experience.
  Data Science
  ● Led cross-functional data science projects in developing statistical methods on customer data, responsible for designing
  experiments and conducting simulations to generate new data in support of analytic studies.
  ● Built predictive models and outlier detection algorithms by utilizing regression analysis and differential evolution.
  ● Conducted exploratory data analysis to enhance quality control processes and designed tools for statistical reporting.

Education

• University of Michigan, Ann Arbor
  Master
  

  2018 - 2020

  Master of Science in Industrial Engineering, data analytics and data science track