● Provide experienced Data Science and Advanced Analytics services for many companies but not limited to Computer Systems Institute, PBA Health, Eularis, Disney Media Burbank CA, Data Science Central, Deloitte, Samtec Inc, Shoe Sensation, Talent Analytics, Design Interactive, All Star Auto Lights, Zuar, Point Click Care, UCF, QLIK and Brands2Life.● Spearhead selection, analysis, and interpretation of diverse datasets to generateactionable strategic recommendations, communicated through clear and compelling reports.●Expertise in fraud and risk detection, including: *Developing and implementing fraud detection models *Identifying and investigating suspicious activity *Preventing fraud losses ● Leverage a combination of descriptive statistics, predictive analytics, data mining, andforecasting to uncover trends and insights that informed data-driven decision-making.Technical Expertise and Visualization:● Transform raw data into actionable insights using SAS EG, Excel, SQL, and R, Python, NetSuite,performing in-depth comparisons and identifying meaningful trends.● Design and implement dynamic, interactive dashboards and visualizations in Power BI,Tableau, and Excel (with Macros) to effectively communicate complex data findings to bothtechnical and non-technical audiences.● Present analysis findings through compelling narratives and visualizations, ensuring that datainsights were clearly understood and actionable.● Empower end-users to become data literate by providing training on relevant tools, datainterpretation techniques, and analytical findings.

Lead the effort to create and implement reporting structure to achieve business expectations, making refinements as necessary and within the timeframe required by the business. Provide value-added reporting, performing ad hoc, detailed analysis to meet business needs, including explanation of variances and impact to business. Provide reporting and modeling to turn information into actionable items. Proactively drive new reporting/analysis (measures, key success factors, metrics) and make recommendations. Perform ongoing data analysis while maintaining the integrity of the data. Convert business problems into analytic projects with well-defined deliverables. Manage data capture, ROI analysis, program analysis, and evaluation. Discover, analyze, and quantify trends and correlations. Coordinate the various activities related to assessing and predicting business performance through business analysis and/or modeling, determining policies and strategies that maximize profits and growth and minimizes credit and/or operating losses and other risk exposures. Conduct win/lose analysis. Work closely with management to determine the key performance indicators and metrics needed to manage the business. Effectively communicate results to management. Develop and implement process improvements. Participate in the development and implementation of short-term and long-term strategies, goals and objectives.

Analyze and forecast market conditions, evaluate regions demographics, economic fluctuations, identify market tendencies and risk factors and develop product commercialization strategies.

Responsible for reviewing, analyzing and evaluating business needs for the research/sales department. Conduct geographic and demographic market analysis of current promotional network and make recommendations for changes to improve the retail business with the aid of AC Nielson’s Spectra Applications. Clients included but are not limited to, SCJ, Kraft, Kellogg's, Neutrogena, Hershey, Johnson & Johnson.

Marketing Information Manager: Worked with CampusVue to create adhoc and weekly reports as to measure and quantify the number of leads, enrollments, and starts for the schools maintained by Career Education Corporation. Duties also include creating list for direct mailing and e-commerce as to stimulate interest and increase leads, enrollments and starts. Analysis of numbers as to define successful campaigns, create cross tabs and useable reports in SPSS and ACCESS for management decisions. Link and use programming to automate reports as to decrease the chance of human error. Train and teach via web-x on the importance of correctly using CampusVue. Primary responsibilities include: Modeling, tracking, reporting, analyzing, and forecasting critical components of a learner's progress from matriculation to graduation/completion of desired outcome:

http://gsbwww.uchicago.edu/computing/research/** Wrote the above web site to decrease the number of actual students that came into the GSB computer center due to lack of space and computers. This web site** is a link to all relevant studies and answers 90% of the question that came in on a daily basis, three months worth of research and talking with students was definitely worth the outcome. Worked directly with CRSP data in conjunction with Pennsylvania State (WRD) to create a "no stone left unturned" kind of approach to ensure students the most updated material for research. Updated /pub/crsp_>(mail server in the computer lab for the PhD's and Faculty member, Wharton Research Data Service); http://wrds.wharton.upenn.edu. Wrote SAS and C++ program for the PhD's and Faculty member, wrote mathematical formula and other programs as to pull data from the server for the research needs of the individual student. What ever analytical, mathematical and or UNIX/PC assistance the PhD's and Faculty member needed.

Job responsibilities: Extract and analyze prospect and customer data from multiple, large databases. Provide consultation to management regarding the interpretation of data and analysis results, and recommend further uses of the data for marketing and planning purposes. Create, write and maintain reports as needed for management preparation on output for presentation. Excellent oral and written communication skills; ability to work well under tight deadlines; direct marketing experience. Dedupe/Merge Purge (data cleansing) accounts for mailings and or analysis. Set up test and control groups for use in backends. Performed backend analysis and adhoc analysis. Presented findings and work with clients on day-to-day basis. Mapped network drives and worked with servers, routers and hubs. Repaired PCs and add/delete software/hardware as needed. Citrix and Windows 98/2000 operating systems. Clients: Firestone, Weight Watchers and Prime Co.

Purchase Limit Management:material impacts on contingent risk and fraud losses. Cardholder-Level Limits:quantitatively derive appropriate purchase limits at the cardholder level and calculate the reduction in risk at the portfolio level. Adaptive Control: successful credit card practice, debit purchase limits are periodically reviewed based on cardholder lifecycle and seasonality. Through continuous purchase limit adjustment, risk is managed and incremental purchase volume is enabled. Behavioral: Segments of a debit portfolio have different levels of sensitivity to a fraud reissuance, analysis looks at pre- and post-behavior and helps determine how portfolio segments react. Fraud Score Evaluation: By crossing confirmed fraud with scored transactions, calculate how effectively the neural network is predicting fraud.Data-Driven Fraud Detection Rule Development: By analyzing data and adding in the impact of internal and/or fraud scores, you generate fraud detection rules, quantitative approach is a mathematical process.Clients: Discover Financial Services

Teachers Assistant/TUTOR Mathematics DepartmentSpecialized in algebra, calculus, differential equations, statistics and linear.

Tom's Snacks is the first mainstream snack company to feature wrestlers on the packaging of their potato chip bags, including TNA stars Rob Van Dam, Mr. Anderson, Velvet Sky, "The Pope" D'angelo Dinero & AJ Styles.