Rockville, Maryland, United States
I am an accomplished analytics professional with 14+ years of experiences across a range of sectors, including retail, music, mental health, neuroscience, defense, and food/CPG. My extensive experiences covers academic research organizations as well as businesses. I am a strong believer in the power of data and scientific methods, and have successfully leveraged statistics and ML tools to deliver insights and drive strategies. I am a coauthor of 25+ scientific articles, and am also a performing musician in the DC metro. I am thrilled to be able to link my passion in music and data science together, while building a high-performing data & analytics team at Music & Arts (a brand of Guitar Center).
• Instrumental in forming the initial Data Team at Music & Arts (a brand of Guitar Center Company), and growing the team to five direct reports, matrixed to support various departments including merchandizing, ecommerce, digital marketing, retail store operations, and B2B/B2C businesses. • Led the development and delivery of transformational data products that drastically improved visibility to accurate insights. • Proactively drove collaborative, regular interactions with Music & Arts Leadership Team, resulting in improved stakeholder satisfaction year-over-year. • Developed each direct report with a growth mindset toward full-stack analytics leads.
• Spearheaded the development and establishment of enterprise geo-based AB testing methodology that enabled robust incremental measurement through forecasted counterfactual estimates, and unlocked opportunities for retail and lesson business • Led the application of statistical methods (survival and hazard analysis) to measure customer tenure; KPIs were translated into Tableau dashboard for leadership team to drive lesson strategy • Upgraded the supply chain forecast models with ML (including XGBoost & Prophet) and built Tableau dashboards to drive merchandize planning for rental business • Led multidimensional Root Cause Analysis (RCA) with regression models that debunked anecdotal theories and identified key strategic directions for the rental business • Improved ecommerce testing methodologies with nonparametric and bootstrap tests • Apply SQL, Python, and R to support data extraction, statistical analysis, and ML modelling
Band leader, guitarist, and vocalist for a Jazz group based in the DC Metro Area www.BossaBordeaux.com
• Lead various supply chain analytics projects to drive product sales. • Leverage classical time series forecasting strategies such as ARIMA and predictive analytic approaches including mixed effects modelling to produce long term forecasts in support of product demand planning and e-commerce business sales planning. • Applied multivariate regression models to make inferences on product impacts on sales, along with simulation techniques to provide data-driven, scenario-based sales forecasts • Conduct product segmentation with machine learning approaches to optimize product portfolio • Led data integration and forecast pipeline engineering efforts to support new business mergers • Design, engineer, update, and debug automated ETL and forecast processes, and deploy them to production environments in SAS • Translate and explain technical details for technical and non-technical business stakeholders • Improved forecast accuracy and bias by 10% for different businesses through forecast model enhancements, including the addition of predictive features (such as promotions), segmentation, and model tuning.
• Analyze large, complex Army data of 3 million Soldiers by applying various statistical tools (including regression modeling, propensity score analysis, causal inferences, predictive modelling, machine learning) • Build database and statistical models using SAS, SQL, Mplus, PASS, and R • Experiences working in a LINUX environment (3+ years) • Manage and analyze complex survey data, cross-sectional data, administrative/medical records, and longitudinal data • Work with Army data providers to collect relevant data for research projects • Build features, parameters, measurement variables using relational database • Visualize data after statistical modeling • Communicate statistical methods and analysis results in technical language as well as in concise, simple language • Regularly report data management and analysis progress to multidisciplinary teams (including technical and non-technical leaders, supervisors, and staff) • Give educational presentations on statistical methods • Primary data analyst on multiple projects that study mental health, including Study To Assess Risk and Resilience in Servicemembers – Longitudinal Study (STARRS-LS; starrs-ls.org) • Provide consultation to other research teams • Write grant proposals (study design and analysis plan) • Write scientific manuscripts (methods and results) • Findings were published in high impact, peer-reviewed scientific journals • Lead a team of analysts to perform quality controls on Army data (administrative/medical records) • Mentor junior analysts on data analysis and presentation of statistical methods and analysis results