Michael Corley
Ridgefield, Connecticut
M: 203-***-**** E: adykm6@r.postjobfree.com
https://www.linkedin.com/in/corleymichael
Core Competencies
Analytics; Data Science
Business Development; M&A
Financial Modeling
Visualization Techniques; Presentation
Business Management
Risk Management
Professional Research
Operations Management
Financial Analysis & Valuation
Predictive Analytics for Forecasting
Budgeting
Data services
Data Mining
Restructuring and Strategic Renewal
Governmental data sources
Machine Learning; Deep Learning
Organizational Leadership
Public and open-source information and intelligence (OSINT)
Simply, my goal is to be the best "all weather analyst," keeping up to date with the latest methodologies. My journey began after reading 'competing on analytics' in 2011. I asked ChatGPT for a summary of my resume and it gave me the below synopsis:
"Michael Corley is a versatile professional with a robust track record in financial analysis, data science, business development, and operations management. He has established and operated his own business, Sigma Data Science, where he has conducted research, advised on financial matters, and expanded portfolios for industry leaders like Bain Capital. Prior to that, he had significant roles in Mergers and Acquisitions at PetVet Care Centers and DVM Transition Services, with accomplishments including oversight of a $250M acquisitions portfolio and negotiation of contracts for the sale of assets worth ~$100m.
Michael has proven abilities in predictive analytics, machine learning, and deep learning, having utilized these skills extensively in his roles. His financial expertise is highlighted by his participation in sell-side and buy-side mergers and acquisitions, valuations, budgeting, and financial modeling.
Furthermore, he boasts a strong academic background with a Master's degree in Business Administration from the University of Connecticut and a Bachelor's degree in Accounting, Finance, and Information Systems from Virginia Tech. He holds numerous certifications, including Lean Six Sigma Black Belt and Certified Project Manager, and is well-versed in a variety of technical and analytical tools."
Professional Experience
SIGMA DATA SCIENCE STAMFORD, CT 2019-PRESENT
Analytics, Financial
This is my own business area which I set up to conduct research.
The normal language that I include on my resume is ambiguous, but I essentially use it for various activities that I am doing involving medical research and disabilities. It is not untypical for people to ask me for financial advice because of my background, in which case I will either do some research for them or refer them to someone else who is still in industry. I did some financial research for an undisclosed hedge fund on market impact costs, and did some pretty extensive analytical work using python and excel. I also helped Bain Capital as a subject matter expert expand their veterinary portfolio in Europe.
“Analytics and data science for on financial, medical, and market research topics, technical writing, primary and secondary research regarding disabilities, training/networking at various conferences regarding topics in data science and analytics, acquisitions, business development, literature review, machine learning, consulting/advisory. Engaged in various public service research efforts. Conducted self-funded research regarding economic conditions affecting those living with mental illness. Collected personality profiles of different people with different mental illnesses.”
FORKAIA IRVINE, CA 2019
Business Advisory & Data Science Teams – Incubator; Venture Capital; Private Equity
ForkAia is an incubator which raised funds in the amounts published on Crunchbase, designed after the original Idea Lab from which Apple came, as well as several other profitable ventures. Their most profitable startup company deals with solar energy, although I wasn’t involved in that portion of the portfolio as that was formed before I started there. We were trying to solve major problems, such as the infertility crisis.
DVM TRANSITION SERVICES PALO ALTO, CA 2017-2019
CFO – Sell-side mergers and acquisitions; Private Equity
Spearheaded M&A (private asset sales), valuation, and negotiation of sell-side acquisitions across 4 primary verticals: (1) Medical, (2) Veterinary, (3) Dental, and (4) other listed businesses. Authored various industry reports for the veterinary and acute care verticals. Worked on leveraged buyout’s and in general charged with oversight of forecast, budget, and actuals among partners. we also prepared sellers for sale by providing certain services and advisory for free and for compensation through another entity. Conducted due diligence and valuation of practices as well as the production of prospectuses.
I negotiated contracts for the sale of ~100m dollars in assets.
PETVET CARE CENTERS WESTPORT, CT 2016-2017
Mergers and Acquisitions Analyst - Buy-side Mergers and Acquisitions; Private Equity
Working for the number two(globally) performing private equity division of a pension fund, I cross-leveraged portfolio and business management expertise to oversee and create portfolio assets, generating a significant number of small-sized acquisitions ~$250M in FY2016; $60-80M in FY2017 and manually valued 150-180 companies (traditional EBITDA and discounted cashflow based valuation). This requires financial analysis and valuation as well as contract negotiation skills. I also identified underproducing portfolio doctors using time series ARMA forecasting to determine if a location was an out of control process. I had to manually update price sheets as well as grouped items. Saw areas of improvement in existing modeling processes. Created functional valuation multi-factor model with a time series component that enabled appropriate pricing of acquired practices and appropriate EBITDA multiple to bid in January 2017.
Chiefly oversaw various acquisitions processes and managed a team of 5 field individuals. Developed accurate forecasting and budgeting in addition to pitch deck, due diligence and contract negotiations. Launched and managed SalesForce and saw roughly 100-150% increase in acquisitions within 12 months. Engaged in a whole process redesign which reduced acquisition timelines from several months to about 45-60 days. Integration of suppliers and inventory and provided business use cases of properly managed inventory, which I learned at Westcon Group (a distributor), which is, generally not a small project.
WESTCON GROUP TARRYTOWN, NY 2013-2015
Financial Analyst – Financial Planning & Analysis
Entrusted with long-term forecast (5-year plan) maintenance and applied multiple forecasting methodologies. Created functioning and comprehensive proforma budget and forecast financials (income statement, budget, and statement of cash flows) every month by region and entity, where geographical reach covers nearly every country across the globe.
Created, updated and maintained 10+ high-level, particularly long reports for the overall company. Delivered analyst presentation and the operating report. In addition, organized the board presentation and presented balance sheet review as well as competitor and vendor analysis. Was responsible for updating the valuation for impairment tests. Restructuring, mergers and acquisitions, executive compensation. I was specifically responsible for budgeting and forecasting half of the global cost centers.
Contributed towards VereCloud (US) acquisition and Comztek (Africa) acquisition, resulting in 50-100m+ of additional revenue (Comztek) and adding 10m+ dollars of intellectual property to the balance sheet (VereCloud).
Utilized statistical forecasting techniques to forecast net working capital requirements as well as all line items on the P&L during 2-year employment span as a [global level] Financial Analyst at $6B distributor with coverage over Middle East, Africa, Europe and Asia Pacific.
Additional Experience
VERDE ENERGY USA NORWALK, CT 2011-2012
Operations (2012)
Business Systems Manager (2012)
Business Analytics Manager (2011-2012) – Energy Trading; Billing; Settlements
Temporary Consultant (2011)
VIRGINIA TECH BLACKSBURG, VA 2009-2010
Research Assistant, Finance Department
AVON RYE, NY 2007-2009
Internship in Finance & Technology
PRODUCTION RESOURCE GROUP MOUNT VERNON, NY 2006
Internship in Supply Chain Operations and Warehousing
Education
University of Connecticut, Stamford, CT: 2019
Masters of Business Administration – (GPA: 4.00; 57 credits)
Example Coursework: Graduate-level statistics, predictive analytics, data mining, tax strategy, global business strategy, corporate finance, fixed income securities, alternative investments, financial modeling, supply chain management, etc.
Virginia Tech, Blacksburg, VA: 2011
Bachelors of Science — Accounting (audit); Finance; Information Systems – (GPA: 3.30 2.77; 150 credits)
Example Coursework: Quantitative methods, management science, accounting application development, management information systems, accounting information systems, fixed income securities, equity securities, investments, corporate finance, advanced accounting, auditing, principles of taxation, tax planning.
Additional Credentials
Technical Skills
Languages: Python (5 years) SQL (10 years) Julia (1-3 years) R (0.25 years) VBA (14 years) VB Script (0.5-1 years)
Statistical software packages (w/ UI): Minitab, STATA, SAS Enterprise, JMP, PH Stat, etc.
Analytical tools (w/ out UI): simpy, Pandas, Tensorflow, Sklearn, Keras, numpy, etc.
Financial: HFM + Smartview (3 years), BPC (3 years), also developed my own
Microsoft Office (Word, Excel, PowerPoint, Outlook, Access), Visio, various project management software’s
Languages
English
Honors & Awards
Eagle Scout – Boy Scouts of America, 2005
Book Award Winner – Southern Connecticut State University, 2006
Hyperion Fusion Middle-ware Best Practice Award – Oracle, 2009
Licenses & Certifications
Lean Six Sigma Black Belt (LSSBB) – Project Management Institute, 2017
Certified Project Manager (CPM) – Project Management Institute, 2017
Data Science Executive Education - Massachusetts Institute of Technology, 2017
Advanced Valuation – Graduate Certificate – NYU, 2017
Applied Statistics Coursework – Penn State, 2017
Data Science & Scientific Computing: Data Wrangling (Data Structures) – World Quant University, 2019
Deep Learning with TensorFlow – IBM, 2020
Deep Learning Fundamentals with Keras – IBM, 2020
Introduction; Intermediate; Advanced Relational Databases w/ SQL – Coursera, 2020
Anomaly Detection in Time Series Data with Keras – Coursera, 2020
Introduction to Fraud and Anomaly Detection – Ai Plus Training, 2021
Advanced Fraud Modeling – Ai Plus Training, 2021
Fundamentals of Time Series Forecasting – Ai Plus Training, 2021
Smart Technology and Enhanced Browsing – Ai Plus Training, 2021
Transfer Learning in NLP – Ai Plus Training, 2021
Fundamentals of Statistical Time Series Forecasting – Ai Plus Training, 2021
Time Series Forecasting – Ai Plus Training, 2021
Reinforcement Learning – Ai Plus Training, 2021
Web Scraping and Social Media Mining for Text Analysis and NLP, Ai Plus Training, 2021
Applied Object Detection, Ai Plus Training, 2022
Publications
Manuscript: Management Theory and Practice, Manuscript: Electricity Markets, Finance and Statistics Guidebook (working text), 2017 Market Update for Veterinary Practices, 2018/2019 Market Update for Hospitals
Professional Affiliations
National Association of Certified Valuation Analysts [NACVA] (2016-2018) – Practitioner, Wilmott Inner Circle [quantitative finance group] (2018-present), Open Data Science Conference (2020-present), Mises Institute (2021-present); International Society of Psychological and Social Approaches to Psychosis [ISPS] (2021-present) – Research group