Responsible for leading data science and reporting efforts at Sift Healthcare. Projects span large hospital systems and RCMs. Our work provides insights necessary to accelerate insurance payments, reduce overall denials, increase patient responsibility collections and drive smarter workflows. Main data science concepts cover tree-based models (GBM, XGBoost, etc.), forecasting (prophet, ARIMA, etc.), multivariate regression, clustering (K-means, KAMILA), and more. Responsible for setting up and assessing test and control experiments in a robust and reliable way. Works in AWS cloud, Athena, postgres, RStudio, etc.Works closely with business leads and IT to turn data into critical information and actionable knowledge that can be used to prescribe sound organizational/business decisions. Works with data engineering to productionize models, push updates using GIT, and more.Responsible for client-facing and internal reporting using Sisense - relaying complex information in an easy-to-understand manner focusing on UX and vizualizations.

Responsible for understanding varied data formats used to model complex decision problems, discover actionable insights and identify opportunities using analytical, statistical, algorithmic, data-mining and visualization techniques. In addition to advanced analytic skills, is proficient at integrating and preparing large, varied data-sets, architecting specialized databases and computing environments, and communicating results. Creative thinker that analyzes data within the information domain boundaries by applying machine learning, data mining and statistical techniques and proposes model hypotheses for making business decisions. Programs/scripts to model data in a way to visualize it by shaping/re-shaping data attributes from multiple viewpoints and to validate hypotheses/findings using an experimental and iterative approach. Presents hypothesis/findings in a clear and structured manner that they are easily understood by business counterparts. Makes suggestions as to how Sift can run more smoothly and be more effective as a company.Build propensity-to-pay models, predict denials, built a machine learning unsupervised clustering algorithm to provide medical claim edits and suggest alternatives for those with high denial rates,

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• Collaborate with multiple teams and business units across the organization and present complex results in a clear way• Work directly with and make recommendations to V and C level executives• Extract data from multiple different sources through the use of APIs, SQL, etc. and combine in accurate and meaningful ways to improve business decisions• Proficient in R, BigQuery SQL, EViews, Microsoft Excel, Google Analytics, Google Big Query, Google Data Studio• Analyze the effectiveness of marketing programs, new product implementation, price changes, eCommerce conversion, website layout and design effectiveness (UX), franchise and store placement/development, among many other projects• Predict new site locations based on revenue thresholds, population statistics and demographics, competitor locations and target markets, and internal data• Forecast revenue, margin, and cost• Efficiently measure various product and process initiatives through the use of statistical and multi-variate regression techniques using a measure, test, and re-test approach• Communicate complex statistical results in an easy-to-understand manner through the use of visualizations and clean syntax• Continually learn and develop skills based on the most recent statistical techniques and software such as neural networks, machine learning, Jupyter (Notebooks), R, H2o, autoML, etc.

Overview• Statistical Regression Analysis• EViews• R• Project management and implementation• Trend analysis• Forecast• ThoughtSpot• Train new and current employeesRegression Based Analysis• Through the use of statistical analysis (R and EViews), derive correlations and statistical significance in order to make better business decisions and drive sales.• Help determine the effectiveness of current programs and key system metrics.• Derive elasticities with a focus on system sales and improvement.Report Analysis• Provide financial analysis with a strong understanding of finance principles.• Generate computer aided quantitative and business analysis related to revenue analytics, revenue optimization, customer segmentation, and competitive/market analysis in support of organization's long range goals and strategies.• Provide financial guidance and expertise to Operations team and franchisees.• Create and implement solutions to help drive store level improvements.Report Preparation.• Prepare daily, weekly and monthly performance reporting and variance analysis for senior level management to include sales performance to budget and other various metrics.• Develop advanced tools, models and statistical reports to track, analyze, optimize and forecast revenues, yields, and economic impact by store, owner group, etc.• Discuss information provided on the dashboards with internal and external parties to ensure the end user understands the data and the value of the data to improve overall performance.• Create online dashboards via Google Sheets• Work with Google APIs, Google Analytics, BigQuery, etc.

*Collaborates on or drives business reviews and customer meetings*Manages customer expectations through the use of SOPs, KPIs and other account metrics*Identifies opportunities to penetrate the account, pulling in SMEs and additional resources to help sell diverse services*Understands the general supply chain terminology, concepts, and vertical expertise*Works with the manager to ensure alignment with branch strategy in forecasting, business planning and pipeline development. Uses Opportunity Management for all opportunities*Stays engaged with the customer to maintain the relationship and ensure ongoing success with the account*Time is spent managing customer interactions, including prospecting, qualifying, making customer calls, and closing deals

* Responsible for working on a multi-million dollar project rolling out in 2013* Focus on teamwork and supply chain vending* Reviewing the parts stores select to go in future machines to identify any trouble parts, review projected demand vs. current demand and advise the store(s) of better selections.* Data mining – understanding what product is in the currently installed machines and making meaningful summaries (sales, margin, product offering, etc.) from this data.* Standard part education – pre-packaged part #’s vs. bulk #’s, exclusive brand vs. supplier brand, standard # vs. BSS #* Identifying the core standard parts in vending and reviewing the inventory model for those parts.* Helping our stores troubleshoot with any vending related issues that arise.

* Responsible for $100,000 bank wires, $250,000 HELOCs, Mortgages Loan Closings up to $500,000 and loanpayments up to $50,000* Helped train new employees* Provided a full range of banking services, emphasizing personal financial counseling and customer service* Developed strategies to grow the client base* Achieved Gold Sales Level which equates to 60+ new accounts per week* Adhered to legal, corporate and regulatory operational controls to ensure customer security* Responsible for receiving, distributing, and handling over $20,000 per day* Candidate for management positions

* Coordinated and assisted in programs for 70+ children ages 6-12 * Ran basketball, baseball, and soccer clinics for 100+ children

* Subbed and bundled over 1,500 papers per week