Data Science, Biostatistics, Financial Compliance Solutions
Accelerate your data-driven decision making
Data Science, Biostatistics, Financial Compliance Solutions
Accelerate your data-driven decision making
Accelerate your data-driven decision making
Accelerate your data-driven decision making
Our solutions enable our users to make objective and data-driven decisions by:
Contact us today to learn more about our advanced analytics solutions.
Our solutions are designed to enhance efficiency of the decision making by automating and customizing them to the consumers' needs by:
The solutions enable our customers to better tailor their products to their consumers' needs.
Contact us today to learn more about our AI and ML solutions.
Our solutions are designed to obtain inferences on product's safety, efficacy and efficiency in the target population from the randomized controlled trials with the pre-defined sample sizes by:
Contact us today to learn more about our Biostatistics solutions.
Our solutions provide real-world data evidence from the observational study data on product's safety, efficacy and cost efficiency at Phase IV after the product launch to the market by:
Contact us today to learn more about our real-world solutions.
We provide customized, institutional-quality regulatory compliance and operational support to businesses and management firms. Our following comprehensive accounting and solutions are tailored to meet your unique needs, whether you’re looking to streamline your operations, enhance your compliance, or improve your overall efficiency by:
Contact us today to learn more about our comprehensive accounting and administration services.
Eugene Yankovsky, MStat, MEcon
Eugene has 15+ years of demonstrated success in applying real-world world analysis, predictive modeling, machine learning and data mining to the challenging problems in Healthcare, Risk, Oil and Gas industry. While working as a consultant and a project manager on small and mid-size software development projects at Ernst & Young and SAS Institute, he gained invaluable experience of communicating with the clients and converting their business requirements onto effective and user-friendly analytical solutions. Eugene holds two Master's degrees in Economics and Statistics, as well as, passed two Society of Actuaries exams that were focused on Finance, Risk, Customer Behavior, Multivariate Statistics, Design of Experiments and Messy Data Analysis. He has enjoyed developing new analytical methods and approaches and shared their description in 14 peer-reviewed publications. Eugene is married and raising two children. He enjoys spending time with his family, volunteering, hiking and swimming,
Victor Yankovsky, CPA
Victor has built up his expertise through his 25-year career in engineering and financial service industries. As an engineer, he worked for manned and unmanned aerospace programs in processing and detecting patterns in the telemetry big data. He gained his financial expertise through 15-year controllerships at private and publicly traded domestic and international quantitative hedge funds and broker dealers. Victor considers himself as a perpetual student who reads daily staying on top of business trends and developments. He holds Bachelor's and Master's degrees in Mathematical Engineering of Aerospace Control Systems, Bachelor 's degree in Accounting and Finance, and Master's degree in Accounting and Taxation. Victor is a Certified Public Accountant (CPA). He is married and raising three children enjoying his family time and adventures.
Joe Lu, CFA
Joe is a former liaison to the Bank of International Settlements (BIS) representing the Federal Deposit Insurance Corporation (FDIC) where he served as an expert in model risk management, machine learning, and related banking regulatory compliance. Prior to serving the BIS and FDIC, Joe was a consultant at Ernst & Young and PwC supporting banks and other financial institutions with the implementation of models and methods for regulatory compliance such as Basel Capital Ratios, Allowance for Loan and Lease Losses (ALLL), and other quantitative modeling applications. Joe also served Fannie Mae as a financial engineer developing models for security and asset valuation and economic forecasting. Joe has published peer reviewed articles in the areas of machine learning and financial models such as stress testing. Joe also serves as a startup coach and angel investor, primarily in the EdTech space in support of a global school his family created during the pandemic called "WEquil App". He lives in Falls Church, Virginia with his wife and two daughters.
Accelerate your data-driven decision making!
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