New York, New York, United States
● Engineered scalable data pipelines in Python and SQL on Google BigQuery, processing large-scale marketplace transactions with partitioned tables and scheduled jobs to automate financial reporting workflows ● Built BI dashboards in Google Looker Studio with reliable data models, visualizing KPIs, sales funnel, and risk metrics ● Enhanced data quality in ETL workflows with schema validation and unit tests, ensuring accuracy for AI-driven insights
● Automated large-scale data extraction using Python, ScrapingBee API, and Pandas, processing 100K+ product reviews from Amazon and BestBuy, improving efficiency by 58% ● Implemented NLP-based sentiment analysis with VADER and TextBlob, classifying reviews by key product attributes and increasing accuracy by 37% ● Designed dashboards in Tableau and AWS QuickSight, visualizing customer sentiment trends for data-driven decisions ● Developed customer-facing website features using JavaScript and Wix Studio, improving engagement and data collection ● Optimized website performance, reducing load times and enhancing dynamic rendering for a smoother user experience ● Collaborated with the team on front-end and back-end development for customer portal projects, ensuring seamless integration and functionality improvements
● Led logistics system development, defining requirements and collaborating on Java Spring Boot solutions, RESTful APIs, and gateway integration ● Conducted performance tests for multiple API gateways on AWS and GCP, optimizing system scalability and reliability ● Designed and prioritized product roadmaps, ensuring alignment with business objectives and stakeholder needs
● Established Individual Operation Center System for engineers, saving over 1 hour per person daily in task execution ● Automated semiconductor wafer analysis using VBA, generating WATCD maps and key parameter reports ● Visualized the WIP of products with Power BI, enhancing production tracking and decision-making