I thrive on leading and architecting data science solutions tailored to stakeholder needs that go beyond common insights and push boundaries for strategic decision-making. By leveraging technical expertise with a smart mix of rigor, design thinking, and long-term considerations, I aim for data-driven solutions that simplify complexity for the business and prioritize agility, ease of use, and robustness-sustainability.My Focus: The right questions + techniques + level of rigor → for the right problem. I consider the understanding of the context and business needs as foundational to successful data science products. My experience across industries and techniques has shown me that the skillful and robust translation of these needs is really what enables the magic to happen."If I had asked people what they wanted, they would have said faster horses." - Henry Ford*************************𝐂𝐨𝐫𝐞 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐚𝐧𝐝 𝐠𝐨-𝐭𝐨'𝐬 𝐈 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐢𝐧 𝐦𝐲 𝐰𝐨𝐫𝐤: Methods: Predictive modeling, machine learning (supervised and unsupervised), algorithm design and ML systems design, forecasting, time-series analysis and dynamic modeling, causal inference, experimental design (DEX), econometrics, elasticity analysis, simulation methods, robust statistics, nonparametric statistics, bayesian statistics, and ensemble methods (random forests, boosting, etc).Programming languages: R, Python, SQL, Fortran, C++𝐀𝐫𝐞𝐚𝐬 𝐨𝐟 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫:Business forecasting, marketing mix modeling (MMM) and MTA, sales performance, incrementality strategies, brand measurement, media and pricing optimization, market share modeling, behavioral modeling systems, learning analytics, gaming measurement solutions, UX and web analytics.𝐌𝐲 𝐥𝐢𝐬𝐭 𝐨𝐟 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 𝐟𝐨𝐫 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐌𝐋/𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:• A culture of collaboration• Diverse technical backgrounds• Balance of technical rigor, creativity, and simplicity• ROI & risk evaluation to support project decisions• Commitment to business value above techniques and technology*************************
