Data-driven analyst with a Master's in Business Analytics, adept at transforming complex datasets into actionable product insights and optimizing workflows for enhanced decision-making. Proven ability to conduct market research, improve user experience through data integration, and contribute to strategic product development, as evidenced by a 25% increase in conversion rates and successful AI project contributions.
Data Collection Analyst
Cupertino, CA, US
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Summary
Systematized high-volume data collection and annotation for AI model training projects, ensuring data quality and accelerating project timelines.
Highlights
Collected and meticulously annotated over 100,000 data entries across 3 critical AI model training projects, ensuring comprehensive and diverse datasets for robust model development.
Executed detailed quality assurance checks, maintaining high annotation standards to strengthen AI model reliability and data accuracy.
Streamlined data collection workflows and fostered cross-functional collaboration, reducing errors by 20% and accelerating project delivery timelines.
Strategy and Analytics Analyst
San Francisco, CA, US
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Summary
Drove strategic growth and improved sales efficiency by leveraging market insights and optimizing lead qualification processes.
Highlights
Conducted in-depth market research and extracted actionable insights from diverse data sources, directly refining Go-To-Market (GTM) strategies and driving business growth.
Optimized lead qualification processes through data integration and workflow enhancements, increasing conversion rates by 25%.
Generated and managed a pipeline of over 600 weekly leads, consistently identifying new prospects and maintaining a robust sales pipeline.
Designed and maintained 15+ data-driven dashboards, significantly improving reporting efficiency and enabling informed decision-making.
Research Analyst
Remote, US
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Summary
Provided critical analytical support for strategic planning and operational decisions by simplifying reporting workflows and implementing data tracking tools.
Highlights
Conducted comprehensive competitor analysis on 10 peer companies, delivering key insights that informed strategic planning initiatives.
Streamlined basic reporting workflows, reducing delays by 2 days for routine updates and enhancing operational efficiency.
Implemented data tracking tools for a small-scale internal project, ensuring consistent and accurate reporting.
Delivered data-driven recommendations based on analyzing a dataset of 1,000 entries, directly supporting and optimizing operational decisions.
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Master of Science
Business Analytics
Courses
AI and the Future of Work
Business Statistics
Computational Data Analytics with Python
Data Management and SQL
Visualizing and analyzing Data with R
Machine Learning and AI
Business Modeling & Optimization
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Master of Science
International Business
Courses
Digital Analytics
Fintech
Financial Management & Decision Making
Big Think: AI and the Future of Humanity
Strategic Brand Management in the Digital Age
Sales Management
Data Visualization
Design Thinking for Innovation
Project Planning & Execution
Python, R, SQL, Tableau, PowerBI, Google Analytics, Excel, Data Collection, Data Annotation, Data Quality Assurance, Data Integrity, Insights Extraction, Market Research, Competitor Analysis, Data Integration, Reporting, Dashboard Design, Object Detection, Vegetation Indexing, Business Statistics, Computational Data Analytics, Data Visualization.
CRM Platforms, Salesforce, Pipedrive, HubSpot, Workflow Optimization, Process Improvement, Data Tracking, Airtable.
Project Delivery, Cross-functional Collaboration, Strategic Planning, Go-To-Market (GTM) Strategies, Lead Qualification, Sales Pipeline Management, Operational Decision Support, Policy Analysis, Environmental Management, Disaster Preparedness, Business Modeling, Project Planning & Execution, Design Thinking for Innovation, PowerPoint.
AI Model Training, Machine Learning, AI and the Future of Work.
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Summary
Managed and analyzed a dataset of over 10,000 satellite images using advanced object detection algorithms (YOLO) and vegetation indexing techniques (NDVI) to derive actionable insights for disaster preparedness and environmental management strategies.