Data Scientist/Data Analytics

Benjamin Chu

Telephone: +1-415-***-****

Email: **************@*****.***

SUMMARY OF QUALIFICATIONS

• Data Analyst/Scientist specializing in fast-turnaround insights for Legal and Compliance teams. Adapt at mapping out available data sources, building data dictionaries, and delivering actionable dashboards under strict litigation deadlines.

• Experienced in collaborating across global teams, bridging technical and strategic needs to recover millions in fraud detection and cost savings. CORE SKILLS

• Programming & Data Pipelines: SQL, Python

• Data Science & ML: Regression, Classification, XGBoost, Experimental Design, Statistical Analysis, Predictive Modeling

• Cloud & Big Data (Familiar): Experience with large data sets

• Visualization & Reporting: Tableau, Python libraries (pandas, NumPy, scikit- learn, Matplotlib, Seaborn)

• Soft Skills: Stakeholder Management and collaborations, Data Storytelling PROFESSIONAL EXPERIENCE

Data Scientist

Meta (via Magnit Global), Menlo Park, CA

(Nov 2023 – Feb 2025)

• Partnered with the Legal team and internal investigators to detect fraud in financial transactions between Meta and vendors, creating quarterly dashboards to highlight prepaid spend, incomplete job deliveries, and retrieved funds.

• Utilized Python to develop, update, and deploy scalable data pipelines, integrating real-time data sources and orchestrating advanced SQL queries across billions of rows for deep insights.

• Produced clear and dynamic dashboards in Tableau, enabling real-time analytics, strategic decisions and lead to faster product iterations.

• Collaborated closely with stakeholders to gather and refine business requirements, ensuring tailored data solutions and maximizing project impact.

• Conducted root cause analyses and data validation on multi-million-dollar vendor spend, leading to improved transparency and faster detection of potentially fraudulent invoices or under-delivered services.

• Managed multiple, high-priority data requests simultaneously, collaborating with cross-functional teams across North America and EU to deliver real- time fraud analyses for ongoing investigations.

• Analyzed large and complex datasets (billions of daily events), including financial transactions, to support product strategy and fraud investigations; partnered with Legal to recover prepayment overages and identify under- delivered jobs, resulting multi-million US dollars cost savings.

• Maintained secure and auditable data pipelines to ensure legal admissibility of analytical findings and evidence.

• Applied quantitative analysis, data mining, A/B testing and predictive modeling into actionable intelligence for cross-functional teams.

• Defined and tracked key product metrics, performing forecasting and advanced analytics to measure success, identify trends, and uncover improvement opportunities.

• Partnered with Product, Engineering, and cross-functional teams to inform and execute product strategy, influencing roadmap decisions. Technology Transfer Lead – Manufacturing Science & Technology Bayer Healthcare, Berkeley, CA

(May 2021 – Nov 2023)

• Led technical analyses and presented validated insights to senior leadership, enabling strategic and operational changes.

• Utilized data science methodologies to optimize biologics manufacturing, reduce process variability, and accelerate product timelines.

• Developed analytics pipelines using Python and SQL to mine datasets and facilitate evidence-based process definitions.

Senior Process Engineer – Manufacturing Science & Tech Abzena, San Diego, CA

(Sep 2019 – May 2021)

• Employed design of experiments (DoE) and statistical analysis (JMP) to optimize processes and maintain cGMP standards.

• Built and analyzed datasets to drive process improvements, delivering regular insights to stakeholders for data-driven decision-making Additional Experience (Pre-2019)

• External Manufacturing Manager & PD Biologics – Nektar Therapeutics (May 2017 – Sep 2019)

• Associate Scientist – Process Development – Oncomed Pharmaceuticals (Oct 2014 – Apr 2017)

• Associate Scientist – MS&T – Novartis Vaccine & Diagnostics (Jul 2011 – Oct 2014)

• Research Associate II – MedImmune (Feb 2011 – Jul 2011)

• Senior Manufacturing Associate – Biopharma – Bayer Healthcare (Jul 2005 – Feb 2011)

EDUCATION

• Professional Certificate in Machine Learning & Artificial Intelligence University of California, Berkeley Oct 2024

• B.A. in Cell and Developmental Biology

University of California, Berkeley May 2005

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