Alex Molinar

Geological Technician/Jr Geologist

Dallas Digital Data

•	Developed two working proof of concepts for AI applications, showcasing potential transformative impacts on business operations through advanced analytics.
•	Successfully trained and tested custom ChatGPT and LLaMA2, LLaMA3 models, enhancing conversational AI capabilities.
•	Built and deployed AI assistants, demonstrating proficiency in zero-shot learning and mastery in multimodal models.
•	Managed three use cases in the proof of concept phase, aimed at further integrating AI solutions into scalable business applications.
•	Utilized Vector Databases to enrich the knowledge base of AI assistants and implement local, Google-like search functionalities, optimizing data retrieval and user interaction.
•	Developed machine learning algorithms to reduce Non-Productive Time in drilling operations, saving up to $1 million per event.
•	Led the creation of an automated platform increasing geoscientific productivity by 500% through advanced data analysis.
•	Implemented robust data governance frameworks to ensure data integrity and compliance across all projects.
•	Robust list of small business clients available upon request.
• Along side a team, developed cutting-edge real-time drilling support models that harness real-time drilling data to detect wear on the drill bit. This inventive solution drastically reduced operational downtime, thus saving time and resources and boosting the overall efficiency of drilling operations.

• Conceived and executed an automated platform for the precise identification of horizontal productive
zones. This pioneering system dramatically freed up valuable geoscientist time, and simultaneously
improved the precision of mapping, resulting in an enhanced understanding of subsurface resources.

• Designed and implemented a Python web scraping application specifically tailored for a leading Real Estate Foreclosure company. This innovative tool skillfully gathers and consolidates data from three disparate sources into a streamlined SQLite database.

Senior Data Scientist Consultant

Hunt Oil Company

•	Spearheaded the Land Digitization Project using optical mark recognition technology to digitize and organize land files, enhancing document retrieval and information accessibility.

•	Developed real-time drilling support models using real-time drilling data to detect bit wear and rig state, reducing operational downtime.

•	Created an automated platform for horizontal productive zone identification, freeing up geoscientist time and improving mapping precision.

•	Automated the cleaning, preparation, and importing process of high-frequency data into Well Data Labs, increasing productivity of completion engineers.

•	Modernized an ArcGIS web tool that calculates well construction cost based on proximity to infrastructure, improving budget planning accuracy.

•	Led API integrations using Python and the SAP Integration Suite, enhancing data exchange and software functionality.

•	Conducted extensive training on programming and data science best practices, fostering a data-driven culture within the organization.

•	Developed a sophisticated simulation model for wind farm expansion and commercial battery integration, serving as a pivotal tool in strategic planning.

Senior Data Scientist

Primexx Energy Partners

•	Created field development optimization program on Primexx's largest asset. Used three different programming languages based on the best use case. Custom generated java program to visualize the field development, ArcGIS Pro with python for infrastructure design and modelling, and finally production modelling using Spotfire with R. I combined data from Operations, Geology, Land and Engineering departments into the application. CI/CD Standards were observed to speed up implementation. ROI: ETL software development with modeling all in house. Saved millions.

•	Business Intelligence (BI) visualization specialist using data from each department (land, legal, accounting, engineering and financial using) Spotfire, Tableau and Matplotlib depending on the requirements and funding of the department and the capabilities of each package. ROI: No outsourcing visualizations.

•	Generate and maintain databases that include data form state regulatory agencies, field meters, and private vendors (3rd party API). The database was designed to support unique software packages of each department. The database was automatically updated from multiple vendors sources. The purpose was to monitor our areas interests utilizing using multivariable logistic regression and to better analyze trends in the Permian Basin. ROI: Basin wide analysis with small team. Saved millions.

•	Create entire Data Science workflow including data mining and dashboard generation for VP of Petrophysics to calibrate masks of Nuclear Magnetic Resonance with core data in our primary asset. Incorporated principle component analysis and support vector machine to predict rock properties with limited core data. Saved over 6 months of time and several million dollars. ROI: Exceeded VP project estimates by six months two weeks into project.

•	Demonstrate the ability to learn new and create new processes, workflows, policies, and procedures. Supervise, train and lead geologists, petrophysicists, geophysicists, accountants, and others in python for data exploration, visualization, storage, and machine learning. ROI: No outsourcing training.

•	Provide support within busy office in all aspects of the exploration and production business. Prepare reports, spreadsheets and presentations for investor meetings; manage records; and administer Petra and SMT (Seismic Micro Tech) database. Review prospects and new projects and report to Exploration Manager ROI: Create reproducible workflows reducing the required number of employees. 
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•	Generate a company wide database used to keep track of production and inventory. The database was used extensively by Primexx for many years for investor and regulatory reporting. Generated VBA scripts use to populate the database from excel datafiles. ROI: Company wide data base.

Data Scientist

Fagadau Energy Corporation

•	In 2001, spearheaded the rollout of Petra and Kingdom Software. Prior, Primexx was doing entire geologic evaluations by hand. Was tasked with generating projects and training Senior Geologists. 

•	With minimal training from Primexx’s senior geologist I was assigned to perform Well site geology for in West Texas for three years evaluating Spraberry, Strawn, Atoka and Mississippian samples and reporting to Exploration Manager and management team. Generate sample logs and analyze samples for several wells post drilling, and participated in mudlogging during key intervals to aid in the decision-making process for completions and identification of potential pay zones.

•	Was part of a team at Primexx that discovered and developed a 1280-acre field (20 MMBO) extension by stratigraphically detailing conventional Spraberry debris flow fan deposit in northern Borden county. Calculated reservoir volumetrics in pay sand intervals to extend a field and to assist in a Waterflood simulation.

Experienced Data Science senior professional. I am a highly motivated and positive individual, I thrive on embracing challenges and seeing the positive in everything. With proficiency in several programming languages and excellent time management skills, I am adept at handling complex tasks. Being a people person, I find joy in teaching and learning from others, and I firmly believe in the importance of mentorship for personal growth. Family is the cornerstone of my life, and I value the significance of looking people in the eye and being patient to foster understanding. My philosophy centers around embracing mistakes as opportunities for learning, viewing science as a continuous journey of growth. Let's work together to achieve greatness, empowering one another to be passionate about what we do and to see the big picture in all that we undertake.

Owner, Chief Data Scientist

• Along side a team, developed cutting-edge real-time drilling support models that harness real-time drilling data to detect wear on the drill bit. This inventive solution drastically reduced operational downtime, thus saving time and resources and boosting the overall efficiency of drilling operations.

• Conceived and executed an automated platform for the precise identification of horizontal productive
zones. This pioneering system dramatically freed up valuable geoscientist time, and simultaneously
improved the precision of mapping, resulting in an enhanced understanding of subsurface resources.

• Designed and implemented a Python web scraping application specifically tailored for a leading Real Estate Foreclosure company. This innovative tool skillfully gathers and consolidates data from three disparate sources into a streamlined SQLite database.

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