mark ferguson

Commander Capital Funding Group is a privately owned and operated company that was created with the aim of helping small businesses secure funding for their capital needs. Whether for a planned expansion, to purchase equipment, undertake new projects, or simply to cover ongoing business expenses, Commander Capital will strive to help you find the funding solution that suits your business. At all stages of the financing process, our focus is on integrity, efficiency and attention to detail. We have developed links to over 100 lenders serving small businesses all over the United States and Canada. These lenders offer a diverse range of financial products from simple business loans, to equipment leasing, to factoring, and many others, all at highly competitive rates. Approval times are typically as little as 48 hours.

Capstone projects encompassing all key areas of current data science practice. Deep Learning: https://bit.ly/2DTJldg Building a Facial Expression Classifier Using Convolutional Neural Networks - Transfer Learning using pre-trained CNN models for the classification of large multi-class image datasets. Real-world application – a proposed mood assessment app incorporating visual input combined with a questionnaire, to be used for HR/ wellness purposes. Supervised Learning: https://bit.ly/2MkAFln Detecting implicit bias in outcomes of interactions between police officers and road users. Determined using statistics and machine learning that some amount of bias was at play; traffic stop outcomes did vary based in part on the ethnic group and sex of the subject. Unsupervised Learning: https://bit.ly/2N9r7dq Using clustering and NLP to group a collection of short-stories. Validating the clustering solution using cosine similarity. Found Affinity Propagation to offer the most robust, coherent solution. Texts with highest cosine similarity tended to occur in the same cluster.

* Taught introductory python, machine learning and NLP concepts at data science events. * Instructed event participants on fundamentals of NumPy, Pandas and scikit-learn. * Discussed and explained the rise and increasing importance of data science in modern business, engineering, and research. * Assisted in tackling drills, and understanding data science practices and real-world use cases.

Combined technical and operations service delivery role involving face-to-face customer support and technical advice to operator. -Certified SPARTA™ specialist – utilizes formation porosity, lithological record and Wyllie’s equation to estimate formation compressive strength, thus allowing for smarter bit selection. - Advised on drill bit options, provision of bits, inventory control and monitoring, as well as pre- and post-well technical analysis, selection of appropriate bit and drilling parameter program for expected formation, desired penetration rate; development of tenders and bit proposals. - Main technical point of contact for Angola drill bit and underreamer service delivery to operator companies. - Selection of bits and preparation of hydraulics programs for upcoming wells on Deepwater projects offshore Angola. - Through technical support/ business development efforts in 2011-2014, HDBS Angola district saw 4 consecutive years of positive revenue growth. - Trained in drill bit design and applications engineering.

Broad experience gained in providing focused solutions to the customer for specific day-to-day drilling challenges. Worked both in-house and remotely. Additionally, completed numerous technical bit recommendations and field performance analyses. Taught in-house training courses on rock strength prediction, logging properties, drill bit performance evaluation and bit hydraulics.

Applied risk management software to trading in crude oil, natural gas and power for energy and utility companies.

Worked on Shelf and Deepwater rigs primarily in the Gulf of Mexico. Responsibilities include provision of accurate directional control, performing tool diagnostic tests and troubleshooting downhole logging equipment, as well as interpretation and analysis of real-time formation-evaluation data to the customer; work duties had to be carried according to stringent field safety and service quality guidelines. Role also involved the training of new-hire engineers.

Disciplines studied included Advanced Reservoir Engineering, Reservoir Fluid Properties, Petroleum Economics. Topic of thesis: Enhanced oil recovery of heavy oil using varying proportions of steam and propane.