# Lawrence Chew > Associate Director, Software and Data Engineer-Business Operations Location: Palo Alto, California, United States Profile: https://flows.cv/lawrencechew Data scientist and business intelligence professional with a passion for developing impactful and tangible solutions to solve complex issues and problems. Experience with machine learning, data acquisition, data modeling, data warehousing, statistical analysis, deep learning, and natural language processing. With a strong background in business intelligence and data visualization, Python, SQL, Spark and other applications for data science, I also bring strong skills in project management, team building, and cross-functional collaboration that optimize results and efficiencies end to end to help accelerate successful completion of data driven business initiatives. ## Work Experience ### Associate Director, Software and Data Engineer-Business Operations @ IEQ Capital Jan 2023 – Present | Foster City, California, United States Develop ETL procedures connecting financial services to internal data stores (Salesforce). Build Python applications to move data between systems, validate calculations, apply business logic. Develop front-end (React) web application to ingest data from clients and teams with a FastAPI Backend (Python). Write data pipelines in Python, Azure Data Factory, Azure Function Apps to manage data movement and scheduling. Standardize processes to build and launch updates to applications through Azure DevOps and Azure Pipelines (CI/CD). Maintain GitHub repository for active development and source control. Manage and customize infrastructure in Azure for authentication, networking, data management, security, and billing. Recommend, review, and scope new technology platforms for use internally. ### Senior Business Intelligence Developer @ Novocardia Jan 2022 – Jan 2023 Develop API data ingest programs to query healthcare databases and write to Snowflake. Convert analytics and insights into presentable dashboards and workbooks in Tableau and PowerBI. Generate financial data models to be consumed and transformed by the PowerBI data platform Gather and interpret analytic requests and work with statistical analytic teams for development of medical economic dashboards in Tableau. Visualize Tableau logs for access control and database refresh priority scheduling. Manage Tableau Server, including maintenance scripts, user account management, and connectivity to data warehouses. Assist with infrastructure in the Azure platform including connectivity, deployment of Function Apps, and data security and storage. ### Business Intelligence Analyst @ Varian Medical Systems Jan 2020 – Jan 2022 | A Siemens Healthineers Company, Palo Alto, California ● Architect and design business intelligence solutions and processes to improve reporting frameworks and visualize findings and insights ● Create dashboards and visualizations (utilizing Microsoft BI and Einstein Analytics) for multi-functional organizations with an emphasis on metrics, efficiency, optimization, reporting, quality assurance, and error detection. ● Develop data warehousing solutions in the Snowflake data lake platform ● Create data marts to generate data driven insights ● Gather requirements and gaps from internal stakeholders to be implemented into solutions that accelerate productivity, reduce costs, and provide data driven insights to business and functional units. ● Provide cross-functional training on business intelligence tools ### Data Scientist-Advisor @ The Atticus Project Jan 2020 – Jan 2021 Helping to develop an open source analytics platform that harnesses the power of AI and NLP to accelerate, enhance accuracy and efficiency of contract review and analysis ### Data Science Program @ Flatiron School Jan 2019 – Jan 2019 | Seattle, Washington • Machine Learning, Big Data, Distance Metrics, K Nearest Neighbors, Clustering, Decision Trees, Ensemble Methods, Dimensionality Reduction, Pipeline Building, Hyperparameter Tuning, Grid Search, and Scikit-Learn • Deep Learning, Natural Language Processing, Neural Networks, Convolutional Neural Networks, Ngrams, POS Tagging, Text Vectorization, Context-Free Grammars, Neural Language Toolkit, Regular Expressions, Word2Vec, and Text Classification, Tableau, Hive, SparkData Engineering, Data Cleaning, Pandas, NumPy, Matlotlib/Seaborn for Data Visualization, Git/Github, Data structures, Relational Databases, SQL, Object-Oriented Programming, NoSQL databases, MongoDB, JSON, HTML/XML, Accessing Data Through APIs and CSS Web Scraping • Probability Sampling, AB Testing, Combinatorics, Probability Theory, Statistical Distributions, Bayes Theorem, Naive Bayes Classifier, Sampling Methods, Monte Carlo Simulation, Hypothesis Testing and AB Testing • Statistical Modeling, Linear Algebra, Linear Regression and extensions, Polynomials, Interaction effects, Logistic regression, Optimization Cost Function, Gradient Descent, Maximum Likelihood Estimation, Time Series Modeling, Regularization and Model Validation • Python for Data Science, Variables, Booleans and Conditionals, Lists, Dictionaries, Looping, and Functions ### Production Business Intelligence and Technology Lead @ Disney ABC Television Group Jan 2015 – Jan 2019 | Burbank, California • Analyzed, queried and created datasets using Microsoft Power BI and SQL to, among other things, predict pilot pickup orders from networks and video streaming services • Developed API applications using Python to analyze data from video distribution systems • Managed, and reported on production, creative development and original content deals • Assessed agreements/licenses for content acquisition, digital rights, production, and distribution • Updated and enhanced a royalty tracking database and processes • Prepared reports and summaries to studio executives • Optimize co-production processes and served as a key liaison with Marvel Studios • Managed projects, integrated and deployed new systems and solutions across multiple networks, including migration and data conversion of 70,000 digital files in Salesforce • Implemented tracking/reporting apps utilizing various dashboard and workflow optimizer tools • Analyzed data from cloud database and file management systems to enhance security • Enhanced ingestion of complex metadata to improve access and cost management • Provided technical support and conducted training on applications and systems ### Business Affairs Intern, Amazon Studios @ Amazon Jan 2015 – Jan 2015 | Santa Monica, California • Managed, and reported on production, creative development and original content deals • Assessed agreements and licenses for content acquisition, digital rights, production, and distribution. • Updated and enhanced a royalty tracking database and processes • Prepared reports and summaries to studio executives ### Digital Media and Content Operations Intern @ KinoNation Jan 2014 – Jan 2014 | Santa Monica, California Assisted in negotiating and closing digital media distribution deals with video on demand companies (Hulu, iTunes, Amazon, Netflix, Google Play). Prepared digital content and promotional and marketing collateral and pitch materials, and enhanced the company website and social media presence. Provided insights on user experience and video streaming performance. ### Business Affairs Intern @ Universal Music Group Jan 2013 – Jan 2013 | Santa Monica, California Determine the distribution rights and terms granted to the distribution companies. Research and organize a database of licenses and agreements between Universal Music ("UMG") and motion picture and video distribution companies. Analysis of mechanical, master use, performance, and synchronization licenses to determine rights and restrictions on licensees for music downloads, pod-casting, streaming on the internet and via mobile devices. Assist in Global Digital Rights management. Track override royalties paid by UMG to distribution companies. ### Data Analyst Intern @ UCSF Medical Center Jan 2012 – Jan 2012 | Pediatric Oncology, San Francisco, CA Assessed the development of a cloud database (REDCap) to enable patient data access by physicians and patients through mobile phones and tablets ## Education ### Bachelor's degree UCLA ### Data Science Program in Seattle, WA Flatiron School ## Contact & Social - LinkedIn: https://linkedin.com/in/lawrencejchew - Website: https://github.com/worldyne --- Source: https://flows.cv/lawrencechew JSON Resume: https://flows.cv/lawrencechew/resume.json Last updated: 2026-04-01