United States
Data Analyst | Business Analyst | Product Analyst Skills - Strategic Data Insight: Extracting strategic insights from complex datasets to facilitate informed decision-making.(Python and SQL) - Reporting & Business Intelligence: Creating insightful reports and dashboards for effective goal setting, forecasting, and trend analysis. (Looker/LookML, Tableau, Power BI, and Qlik Sense) - Product Optimization: Designing and conducting A/B tests to identify and leverage opportunities for product improvement, driving product roadmaps with data-driven insights and actionable recommendations. - Data Structuring & Modeling: Enabling efficient and scalable analytics by structuring data to support comprehensive analyses across diverse use cases (DBT) Career highlights • Trained regression ML models on over 80 variables to optimize menu composition, improving menu ratings by 10% and yielding an annualized increase of $12 million in revenue and $4 million in margin
- The Specialty Care Platform • Increasing member engagement by analyzing and mining data to identify opportunities for improved member marketing. • Investigating the member funnel from top to bottom to uncover root causes of results. • Proposing ideas to improve member activation and quantifying the impact of each proposal. • Measuring channel attribution to focus on the most effective strategies for increasing member utilization. • Driving access to affordable, high-quality surgeries for more patients, while unlocking meaningful revenue growth for the business.
- A Series C food-tech startup offering a meal subscription service that includes a countertop smart oven • Utilized Dig segments and Experian data to analyze key factors driving prospect consideration and customer NPS, assessing performance against competitors for acquisition and retention strategies, focusing on attracting and maintaining high-value customers • Analyzed oven usage to gauge its impact on customer retention, order frequency, and LTV, guiding strategic decisions on promoting additional features and app enhancements for future product development • Developed a system that maps out all KPIs for the entire company, top to bottom, with visualization and dashboards in Looker, enabling real-time performance monitoring and root cause analysis, which has become the most utilized content for performance insights • Built a Marketing Attribution model to assess the impact of TV ad spots on web traffic, effectively reducing Customer Acquisition Cost and Cost Per Visitor by 27%
- The world's largest publicly traded property and casualty insurance company • Influenced executive decisions on budget allocation by optimizing the core ARIMA x13 financial revenue forecasting model using the kNN algorithm for anomaly detection and outlier replacement with Python, improving model accuracy by 12% • Identified high-urgency claim themes and loss areas for the claims team to prioritize by performing text mining and sentiment analysis to identify meaningful patterns in claims narratives • Provided customized insights and addressed specialized market needs for international clients by designing new metrics on the Qlikview dashboard, such as claim lifespans, the difference between initial estimated and final indemnity for large case summaries, etc • Improved the company’s BI process and efficiency by building an automatic pipeline for monthly and quarterly reporting to internal stakeholders using SQL and Python • Updated, migrated, and built the company’s data tech stack from Excel to SQL and Python to enable data ETLs that can process 50 billion+ rows
- One of Airbus' four global final assembly lines for the A320 family • Greatly improved inventory management efficiency by automating and streamlining data warehouse processes through programming (VBA) on 100+ categories of inventory worth over 1 million US dollars • Coordinated between the production, flight tests, and customer acceptance departments, managing project updates. Drafted cross-functional impact projects for daily project standup meetings by updating the flight line test status of each aircraft • Collaborated regularly with senior engineers and stakeholders to perform data cleaning on test worksheets and draft various engineering documents