Resume

Versatile Data Science Professional and Industrial Engineer with hands-on experience across analytics, mathematical modeling, and data engineering. Skilled in building scalable pipelines and translating complex models into actionable insights for decision-making. Proficient in Python, SQL, Power BI, and cloud tools. Strong interest in applying data science and operations research to real-world challenges

Contact Information

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📞 Phone: +1 (510) 345-8049
📍 Location: Sunnyvale, CA
📧 Email: majinxiang2000@gmail.com
🔗 LinkedIn: jinxiang-ma-806a621a8

Education

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University of Michigan, Ann Arbor

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M.S. in Industrial and Operations Engineering | May 2025 — GPA: 3.8

• Coursework: Linear Programming, Network Optimization, Integer Programming, Stochastic Process, Queuing Theory, Numerical Optimization, Data Envelopment Analysis, Risk Analysis, Reinforcement Learning, Dynamic Programming, Scheduling, Supply Chain Facility, Statistical Learning

Graduate Certificate in Data Science | May 2025

• Coursework: Database Systems, Database Application Design, Information Retrieval, Spatial Analysis

University of California, Santa Barbara

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B.S. in Statistics and Data Science | Jun 2023 — GPA: 3.74

• Coursework: R Programming, SAS Programming, Python Programming, Probability Theory, Regression Analysis, Data Science Concept and Analysis, Mathematics of Fixed Income Markets, Bayesian Data Analysis, Non- parametric Statistics, Experimental Design, Financial Market Risk and Modeling, Time Series Analysis, Machine Learning, Predictive Modeling in Linguistic, Deep Learning, Cloud Computing & Big-Data Analytic

B.A. in Mathematics

• Coursework: Linear Algebra, Discrete Mathematics, Vector Calculus, Differential Equation, Real Analysis, Numerical Analysis, Operations Research, Number Theory

Experience

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Westland Management Solution

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Data Management Consultant | San Francisco, CA | Aug 2024 – Present

• Built automated pipelines to synchronize data between Primavera Unifier and external systems, reducing manual updates and ensuring consistency across platforms.
• Developed Python-based QA/QC validation scripts to identify data entry issues and enforce schema integrity, improving input reliability for downstream reporting.
• Created interactive dashboards in Power BI for senior management, tracking project milestones, financial metrics, and schedule adherence.

Michigan Medicine

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Process Improvement Consultant | Ann Arbor, MI | Aug 2024 – Dec 2024

• Applied SARIMA models to forecast infusion workloads, improving accuracy and identifying peak periods.
• Proposed a hybrid flow shop scheduling model to optimize the chemotherapy preparation workflow, integrating the newly introduced ultrasound sonication step that operates concurrently with other tasks, reducing makespan and bottlenecks and enhancing sterile compounding accuracy by 5–10%

San Francisco Public Utilities Commission

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Engineering Design Trainee → Intern Lead | San Francisco, CA | Jun 2022 – Aug 2024

• Overhauled capital-project tracking: consolidated 200+ spreadsheets into a Power App, SharePoint & Oracle Database workflow, cutting manual data entry by 70% and trimming three days off each monthly reporting cycle.
• Built an enterprise Master Project List by designing a Pentaho Kettle ETL pipeline and an NLP ensemble (BM25, TF-IDF, Transformer) that reached 92% precision in entity matching across three legacy sources.
• Automated budget analytics for a $6B Bay-Area infrastructure portfolio; Power BI dashboards flagged phase-level cost variances and informed reallocations in FY 23.
• Built a Python–Django forecasting tool that visualized staff availability and workload projections 12 weeks ahead, helping Project Managers reduce last-minute reassignments and improve planning accuracy.
• Led intern training and knowledge transfer: produced SOPs and live coding workshops for six interns, reducing ramp-up time from two weeks to three days.

GoGaucho

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Data Analyst | Santa Barbara, CA | Feb 2022 – Jun 2023

• Engaged in the app development process of GoGaucho, a mobile app serving over 10,000 users monthly. Retrieved academic curriculum data using UCSB API, analyzed historical course enrollment, and shared results with the GoGaucho team

UCSB DREAM Lab

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Student Assistant | Santa Barbara, CA | Sep 2021 – Jun 2023

• Assisted library users in cleaning and preparing data for analysis, improving data accuracy and usability
• Maintained statistics on the lab and identified IT issues, ensuring smooth operation and timely issue resolution
• Answered student’s questions in the Data Science Carpentry workshop and develop workshop materials.
• Delivered programming projects on speech processing and web-scraping, enhancing research and data efficiency.

Research

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SOCR Lab

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Student Researcher | University of Michigan | Jan 2024 – Present

• Developed Python scripts to implement efficient sub-sampling techniques, including reservoir sampling and chunk-based methods, enabling analysis of large datasets (40GB) without loading the entire dataset into memory.
• Applied the SuperLearner algorithm to small data samples, evaluating and ranking prediction models based on accuracy metrics.

Technical Skills

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Programming Languages

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Python (Pandas, Scikit-learn, PyTorch), R, C++, SQL, SAS, JavaScript, HTML/CSS, VBA, Git, Bash, LaTeX

Tools & Technologies

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Power BI, PowerApp, Power Automate, SharePoint, Pentaho Kettle, Azure, AWS, Django, Gurobi, Docker, Kubernetes

Languages

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English (Fluent), Cantonese (Native), Mandarin (Native)