Project: Mojiverse.io● Collaborated on database development using MySQL and Node.js.● Integrated 20+ APIs with front end using Express.js; managed via Postman.● Automated data collection from 20+ sources using 10+ AWS Lambda functions.● Processed and cleaned 500,000+ data entries with AWS Lambda.● Administered 10+ IAM roles and policies.● Established 20+ Cloudwatch alarms for Lambda performance monitoring.● Consolidated 30+ datasets into a structured meta-dataset.● Deployed the application on Amazon EC2.

● Used Tableau to analyze donor behavior, resulting in the recruitment of 30+ donors in 3 months.● Summarized financial status for stakeholders using Tableau and Excel graphs.● Boosted donation site page views by 2,000/month through SEO using Google and Twitter insights.● Migrated 1,000+ cleaned donation records to OneDrive for streamlined access.● Monitored AWS activity and provided feedback to backend engineers.

● Sorted and filtered 50,000+ global tasting data entries based on specific criteria.● Imputed 10,000+ missing data using k-NN, ARIMA, and statistical methods.● Cleaned 20+ dataframes to streamline lead Data Scientist's workload.● Used Boruta and RFECV for feature selection on 15+ tasting attributes.● Presented reports using Plotly and collaborated with three diverse teams.

● Analyzed over 1 million monthly subway turnstile payment data using Excel.● Proposed rules to decrease machine failures, improving customer satisfaction.● Saved approximately $50 (300+ CNY) daily per station through the identified errors.● Automated data analysis, debugging, and output with a Python script.● Visualized data insights in Tableau across various departments.● Compiled reports recommending system improvements, reducing costs by $50 per station daily.● Optimized the WeChat subway payment interface for two cities.