Matthew Mechtly

Co-Founder

North Liberty, Iowa, United States11 yrs 3 mos experience

Key Highlights

  • Led analytics-driven marketing strategy to achieve 7-figure valuation.
  • Developed production modeling software saving $10 million.
  • Invented a patent-pending manufacturing process for sustainability.
Stackforce AI infers this person is a Data Scientist with a focus on AI and analytics in the energy sector.

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Skills

Other Skills

Microsoft OfficeMicrosoft ExcelRVisual Basic for Applications (VBA)Data AnalyticsEconomic EvaluationAnalytic Problem SolvingReservoir EngineeringPortfolio OptimizationDecision TreesEngineeringPetroleum EngineeringDrillingReservoir ManagementUpstream

About

I help organizations identify and evaluate AI-related opportunities ----->>> Then I help them create and deliver valuable, full-stack solutions using data. Technical Skills: * Python (NumPy, pandas, Streamlit, Plotly, scikit-learn, PyTorch, Keras, statsmodels, boto3, etc.) * SQL * Artificial Intelligence / Machine learning / Statistical algorithms (e.g. random forest, XGBoost, CatBoost, logistic regression, parametric regression, non-parametric regression, k-means, k-NN, naïve Bayes, support vector machine, neural networks, Bayesian inference, etc.) * Time series analysis (time series segmentation, feature extraction, forecasting, classification, regression, Sktime, TSfresh, Darts, etc.) * Imbalanced Learning * MLOps * AWS * Deep learning (CNNs, GANs, autoencoders, etc.) * Strong software development skills (e.g. Git, Infrastructure as Code, CI / CD, testing, monitoring, alerting, infrastructure, architecture, etc.) * Machine Learning design patterns * Pricing optimization

Experience

Molex

2 roles

Senior Data Scientist

Promoted

Sep 2024Present · 1 yr 6 mos

Data Scientist

Aug 2023Aug 2024 · 1 yr

Onpoint - a koch engineered solutions company

Data Scientist

Apr 2022Aug 2023 · 1 yr 4 mos · United States

Grain4grain

2 roles

Co-Founder and COO

Mar 2020Apr 2022 · 2 yrs 1 mo

  • Led team to 7-figure valuation
  • Created and transitioned company from $0 in revenue to hundreds of thousands of dollars in revenue via analytics-driven marketing
  • Invented patent-pending spent-grain manufacturing process
  • Evaluated electrical requirements for facility and managed successful installation of high voltage equipment
  • Donated 3k+ pounds of flour to local food banks
  • Upcycled 150k+ pounds of beer waste into flour
  • Developed award-winning pancake recipe

Co-Founder and COO

Jun 2018Mar 2020 · 1 yr 9 mos

  • Co-led the development of new technologies and operation of production facilities.

Apache corporation

8 roles

Data Scientist II

Promoted

Jun 2018Mar 2020 · 1 yr 9 mos

  • Developed Dash application in Python to enable decision makers to quickly model various production scenarios for a 75 trillion cubic foot gas field. Identified scheduling efficiencies resulting in $10 million of savings. This software employed SQL to query information from multiple databases.
  • Created Airflow acyclic graph for task automation to stage various user and corporate data into application database, improving productive time spent in critical project management application.
  • Developed Python program to scrape data from third-party documents, perform quality control, and centralize extracted data within a relational database.
  • Employed random forest algorithm to improve the accuracy of classifying invoices and routing them to the appropriate business group.
  • Visualized mission-critical information in BI dashboards to effectively communicate to decision-makers.

Data Scientist I

Promoted

Jun 2017Jun 2018 · 1 yr

  • Regularly employed SQL in order to extract and aggregate data necessary for other Python, R, and analytics tools.
  • Developed Python program to automatically flag exceptions and email decision-makers, leading to improved time-management.
  • Developed analytics dashboard to better show production exceptions, thereby enhancing decision-making.
  • Developed R program to automate transfer of production data from network files (CSV, xlsx) into a relational database.
  • Developed R dashboard to provide production visualization and interactive oil & natural gas production forecasting workflow.
  • Created Python program to automate transfer of frac-related data from various network files into a relational database.

Field Engineer (Production)

Jan 2017Jun 2017 · 5 mos

  • Oversaw operations and maintained safe working environment on production logging operations.
  • Managed the field inventorying of assets ultimately sold for $202 million.

Decision Engineer I

Jul 2016Jan 2017 · 6 mos

  • Developed R programs to perform automated data quality control of a corporate project database.
  • Applied Bayesian inferential techniques to simulate natural gas field development.

Reservoir Engineer I

Jan 2016Jul 2016 · 6 mos

  • Created economically optimal extraction plan using numerical modeling.
  • Applied kriging interpolation to map most productive portions of geologic formation, in order to better inform development and capital allocation plan.
  • Evaluated and made recommendations to management pertaining to hundreds of millions of dollars worth of assets.

Drilling Engineer I

Jun 2015Jan 2016 · 7 mos

  • Applied parametric regression to accounting data, resulting in the identification of $350k+ of third-party overcharges.
  • Presented technical analysis at the Apache Technical Forum (ATF).

Reservoir Intern

May 2014Aug 2014 · 3 mos · Tulsa, Oklahoma

Field Intern

May 2013Aug 2013 · 3 mos · Hobbs, New Mexico

Education

University of Illinois Urbana-Champaign

Master of Computer Science in Data Science — Computer Science / Data Science

Jan 2020Jan 2022

Colorado School of Mines

Bachelor of Science (BS) — Major: Petroleum Engineering. Minor: Economics and Business

Jan 2011Jan 2015

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