Evanston, Illinois, United States
Data Scientist with 5 years of experience in pricing analytics, promotions, and optimization across retail, QSR, e-commerce, and B2B. I specialize in price elasticity modeling, demand forecasting, and revenue optimization, delivering measurable results including multimillion-dollar revenue growth and margin recovery. At Tiger Analytics, I built and scaled pricing engines for a leading QSR chain across 5 national markets and accelerated workflows using AWS and Spark. Currently at Teragonia, I work with PE-backed retail clients to pilot pricing applications, evaluate promotions, and design forecasting models that recover missed revenue and optimize pricing strategy. Key Strengths Pricing & Revenue Optimization: Expertise in price elasticity, promotion evaluation, and optimization models across multiple industries. Forecasting & Demand Modeling: Skilled in building time-series and machine learning models to predict demand with high accuracy. Technical Toolkit: Proficient in Python, SQL, Spark, AWS, SAS, Power BI, Excel, and advanced statistical/ML techniques. Consulting Experience: 4 years of consulting experience. Communication & Leadership: Adept at presenting technical findings to senior leadership, mentoring teams, and aligning analytics with business strategy. Scalability & Efficiency: Experience designing scalable cloud-based solutions and improving workflows for faster delivery. Completing a Master’s degree, I am seeking full-time opportunities in pricing analytics, data science, or pricing strategy to apply statistical modeling, machine learning, and cloud-based solutions to high-impact business problems.