ARBITUS ANALYTICS LLC, Milwaukee, WI January 2018 to PresentBusiness Strategy and Analytics Director | Analytics as a Service (AaaS)Partner with co-founder to develop analytics strategies centered on data-driven innovation, process improvement, and business intelligence. Engineer scalable solutions to enhance operational agility, facilitating seamless transitions from tools like Excel to advanced platforms like Azure/SQL Server, all while optimizing capital resources.Key Contributions and Achievements:► Product Innovation: Collaboratively developing SaaS product that uses machine learning to predict customer investment in home remodeling, enhancing market insights and sales strategies, with potential for application across various industries.► Process Improvement: Leading development of integrated Excel/Power BI data model, significantly improving efficiency in operational data processes.► Business Intelligence and Analytics: Implemented successful rollout of Qlik Sense SaaS project designed for insights into pharmacy data such as claims and prescription fill rates, accelerating time-to-insights and enhancing decision-making precision by up to 50%.

Directed healthcare analytics SaaS portfolio, with key offering in "Medicare Suggest" - tool using data science to recommend optimal Medicare plans based on comprehensive medical histories, drawing from data sources such as Part D drug claims and Beneficiary Demographics. As Agile Product Owner, integrated client to drive product innovation and cost efficiency. Collaborated closely with Scrum teams, ensuring efficient, on-budget delivery of market-relevant features.Key Contributions and Achievements:► Machine Learning and Predictive Analytics: Collaborated with data scientist and guided Agile team in refining Medicare-centric tool using kNN algorithm and streamlined feature selection via Principal Component Analysis (PCA), achieving 10% boost in accuracy.► Cost Analysis: Optimized product roadmap by targeting top 20% of customer-valued features, securing over $1 million in cost savings amid flat revenue.► Product Innovation: Directed Azure transition, ensuring scalability, security, and reduced customization, seamlessly transitioning internal clients from Excel to adaptable cloud solutions, aligning with their needs and boosting revenue.► Team Leadership and Methodology Refinement: Piloted cross-functional product teams, finetuning Agile practices to quicken project timelines by 25%, amplify product quality, and boost customer satisfaction.► Thought Leadership: Co-authored a pivotal white paper assessing a flagship product's efficacy, underscoring a deep commitment to research and data-driven insights.

4.0 GPAEmpowering Future Analytical Leadership:Acquired credentials and advanced hands-on knowledge of emerging technologies and analytical approaches leveraging R and Python. This educational journey was driven by a commitment to becoming proficient in the latest tools and techniques to drive data-driven decision-making and innovation.Capstone Project (Team Project):Collaborated with a team to lead the development of models, dashboard, and a mobile app using R and Python. The joint effort empowered residential remodeling companies with data-driven project ROI pitches and targeted outreach strategies, replacing inefficient methods. The project received high praise from the professor and was recognized as a benchmark in data-driven solutions. View the project: https://www.youtube.com/watch?v=70azGeYPFuQCurriculum:Math for Modelers | Predictive Analytics | Project Management - Waterfall and Agile | Statistical Analysis with R | Database Systems and Data Prep | Python Programming | Accounting and Finance for Technology Managers | Decision Analytics | Supervised Learning | Unsupervised Learning | Practical Machine Learning | CapstoneCoursework Highlights:► Utilized R and Python for diverse models: Logistic Regression, Decision Trees, Random Forest, SVM, Gradient Boost, K-Means clustering, Neural Networks.► Developed sophisticated regression models for Ames, IA residential home sale price prediction, showcasing the advantages of variable transformation, feature engineering, and automatic feature selection in significantly enhancing model performance.► Conducted an in-depth abalone population analysis using R, achieving recognition for exemplary work and the highest grade, highlighting proficiency in exploratory data analysis, predictive modeling, and data visualization.

Initiated the Agile Product Owner role in the wake of the organization's Agile methodology adoption. Directed an Agile Scrum product team in tandem with supply chain operations to address pressing customer issues. Piloted a transformation to a product-focused delivery model, supporting an intricate supply chain network of 60 warehouses and over 200,000 customers. Articulated product vision, objectives, and results, centering on genuine customer value.Key Contributions and Achievements:► Stakeholder Engagement: Conducted nationwide warehouse visits, pinpointing customer challenges and designing innovative product solutions.► Machine Learning Implementation: Guided a cross-functional team in the development of a machine-learning-driven tool, enhancing warehouse throughput by optimizing controllable levers.

Directed the vision and strategy for advanced analytics programs, tactically implementing via cooperation with internal stakeholders, encompassing IT and assorted business units. Synchronized resources and objectives to boost data-informed decision-making and integrate novel solutions for intricate customer-centric challenges.Key Contributions and Achievements:► Forecasting Transition: Seamlessly migrated from SAS to a superior R-based forecasting solution, consolidating and refining 180,000 time-series forecasts.► Team Leadership & Forecasting: Orchestrated a multidisciplinary team in developing labor forecast models for 60 warehouses, securing an impressive 5.6% surge in forecast accuracy.► Technical Evaluation: Undertook technical feasibility checks to authenticate data-driven machine learning methods in assessing drivers of customer service levels.

Aligned BI&A strategy with business goals, founded and expanded cross-functional Center of Excellence (COE), and led team to execute projects using lean and agile methodologies throughout analytics lifecycle. Managed 7 direct and 6 indirect reports to optimize resources, drive decisions, and deliver measurable outcomes.Key Contributions and Achievements:► Business Integration: Drove change by embedding solutions into business processes and advancing user adoption, facilitating the transition towards a sophisticated strategic business-decision support system.► Pricing Strategy: Enhanced life cycle pricing for over 8,000 parts, formulating pricing policies and developing a decision rules-driven analytical model, resulting in significant margin gains and a 35% uptick in customer satisfaction.► Demand Forecasting: Crafted a business case and secured $1.1 million funding to refine demand forecasting. Deployed a forecast model using Microsoft Azure Machine Learning Studio with R and incorporated a boosted decision tree regression model, leading to a 30% reduction in forecast error.► Data Management: Automated the integration of varied data (both structured and unstructured) from diverse sources into an integrated on-premise cloud data platform.► Advanced Analytics: Utilized business acumen and statistical methodologies, employing cutting-edge technologies to develop scalable solutions for intricate business decision-making challenges.► BI Reporting Efficiency: Introduced Power BI-based tools, data visualizations, and KPI dashboards, translating data insights into actionable strategies and saving the equivalent of 2.4 FTEs in production time.► IT-Business Synergy: Cultivated a harmonious relationship between business and IT, transitioning the BI&A environment from IT-produced to IT-enabled, eliminating data silos and increasing overall productivity.

Executed sales strategies by enhancing business intelligence capabilities, aiming to boost overall sales productivity and efficacy. Generated real-time sales metric dashboards and conducted various business intelligence reporting and analysis. Oversaw the Customer Relationship Manager (CRM) system.Key Contributions and Achievements:► Data Management: Designed a master data management strategy for customers and products, integrating it with the SAP ERP system to ensure consistency and standardization.► Sales-IT Collaboration: Worked closely with sales leadership to pinpoint areas of improvement, partnering with IT to ensure the effective application of technology.

Guided data-informed pricing and financial strategies for National Accounts, aligning with broader organizational goals. Led crucial budgeting and forecasting procedures, monthly volume, rate, and mix budget variance analysis, and reporting initiatives. Dug deep into pricing complexities, conducting competitor benchmarking and thorough analysis of market retail sales data.Key Contributions and Achievements:► Data Analysis: Assessed the influence of pricing strategies, alongside consumer, trade, and advertising marketing programs on product sales, proposing actionable insights and suggestions to amplify spending efficiency.► Account Performance: Meticulously modeled national account profitability, pinpointed pivotal KPIs, and crafted a self-service performance management scorecard visualization, bolstering sales and the accomplishment of incentive compensation plans.

Leveraged a blend of business insight, adept modeling capabilities, and intricate system familiarity to enhance financial processes, pushing the envelope for departmental efficiency and output. Delivered nuanced analysis and recommendations aimed at magnifying sales and marketing spending efficiency and the overarching profitability metric.Key Contributions and Achievements:► Analytical Framework: Instituted a replicable and enduring analytical framework, incorporating price elasticity of demand as a forward-looking economic model, unearthing actionable volume and profit growth opportunities.► Strategic Leadership: Handpicked by the CFO to don the mantle of Finance Domain Team Lead, championing a strategic move to harmonize strategy, planning, and execution of marketing and sales initiatives.

Provided financial leadership to Operations and Technology, overseeing an $80 million annual operating expense, managing 1,000 employees, operating 5 call and claim member service centers across 5 states, and serving 12 million dental customers.Key Contributions and Achievements:► Financial Strategy: Designed a streamlined process consolidating 11 capacity planning models, enhancing the assessment of staffing needs and pinpointing financial risks and opportunities.► Process Improvement: Spearheaded various process improvements, optimizing functions and delivering top-tier service more cost-effectively.

Led the formulation and communication of operational and capital plans for one of CIGNA Healthcare’s flagship health plans, accounting for $1.0B in revenue, serving 600,000 members, and managing 1,800 employees.

Championed regional revenue planning, management, and reporting for the Commercial product, driving a $1.3 billion annual revenue plan across six health plans in four states.