Lead ReaderLink in cloud based analytics. Readerlink infuses python and R software design in a AWS or Azure environment to allow for end to end solutions to be built. The function of this team is to utilize integration solutions and machine learning and other optimization techniques to solve efficiency challenges across the entire network. This position requires the ability to translate complex models and techniques to internal executive clients as well as developing a relationship with outside customers to help create more cost savings throughout the supply chain. This position leads a team of Data Scientist, but also requires communication skills with I.T. and other groups to help drive positive change throughout the organization. While optimization is the primary driving force, insight and findings about supply chain behavior are also key metrics to success

This position is in charge of all forecasting, initial allocation and replenishment to all physicals locations of sales; including all doors for Costco, Sam's, and BJs. Reporting to the general manager and VP of finance, this position is in charge of all software development needs. This means gathering of what is needed and directing the build of any in-house solutions to manage all inventory. Furthermore, this position is in charge of managing a active inventory plan that is connected to the P&L. It is expected that returns management and forecasting will be completed, to identify weaknesses in product moving forward. This information is used to develop new products, sustain others,, and alert the removal of products that are not profitable. Forecasting ability is a must, as well as a strong understanding of supply chain operation from materials to inventory storage,

SALES PLANNING AND ANALYSISManager of Initial DistributionsCareer Highlights · Successfully improved Warner Bros. Allocation method and generated a savings of over $1MM in Q4 2008 and near $700K in Q1 2009. These results are based only on Theatrical New release business and do not include the success driven into Franchise and Catalog business units. · Successfully converted all internal software to SAS ran programs. These programs optimized operation and focused man hours. · Appeared on Mark Horak's (president of WHV Warner Bros.) 2009 Cost Savings Initiatives list of requests and completed the task before the close of Q1 2009. These projects were sponsored by the president and vice president of Theatrical New Release. · Continue to generate reports to top level management via SAS operating systems. These reports help upper management make informed decisions for their business needs. · Reduced the time to create a store level allocation from 3-4 days to 24 hours. More complex pallets allocations have been reduced from 5 days to 48 hours. · Introduced Warner Bros. to their first store level forecast methodology. These forecasts /validations are used to help solicit the proper purchase units from a prospective client. This also helps Warner stay connected throughout the buying process. · Improved pallet shipping process via SAS, to optimize pallet allocations and sales. Stores now receive shipments based on what they can actually perform as opposed to what the promotion dictates. · Built and maintain replenishment model that utilizes decay curve modeling in order to properly place product after shipment. · The new allocation method dubbed SAM, recognized on President Horak's initiatives, was the major driving force in convincing Target to agree to let Initial Distributions take over their allocations

· Determined risk of mortgage loans that were submitted to the company by brokers. · Coordinate alternative program analysis if necessary to meet the needs of the company's investors. · Conducted analysis of all consumer related documentation to make the best decision for the borrower, and the least possible risk for the financial institution.

directed studies) · Under the instruction of Dr. Korostelva, PHD in Statistics, direction was given to work on projects in statistical consulting. Projects included Heart valve efficiency testing, Vehicle engine performance evaluations and Las Vegas gaming rules adjustments as a study of house edge effects. All projects required knowledge of single and multivariate regression analysis. o Heart Valve Project: A study in basic regression methods. The goal is to be able to predict the length life of a patient after they have had heart valve replacement. The company that was interested in the study produces the heart valves and accurate forecasting was essential to the understanding of their product. This project utilized Excel for initial data collection, and SAS statistical software in analysis. o Vehicle Engine Performance: The data was generated from an automobile engine for each one of the five gear ratios and full engine output scale (rpm). The study was to prove that the engine preformed to the specifications as advertised. Data smoothing methods of non-linear data had to be applied to understand the sometimes spastic output. Non-linear regression models mapped the engines predicted output. Software used for this was Excel, SPSS and Minitab. o Casino Gaming/House Edge Effects: Simulated studies of a game of Black Jack.