Biomedical Investigators

Google Data Analytics Certificate

Environmental Social Governance Certificate

Associate - Mechanical Design

Research and HIPAA Privacy Protections

Data Scientist Associate

Bloomberg Market Concepts Certificate

Microsoft Certified: Azure Fundamentals

Master of Information and Data Science

Bachelor's degree

Cleaned and aggregated unstructured data using Microsoft Excel and utilized supervised machine learning algorithms such as random forest and linear regression with Python to validate data quality, saving 10,000+ annual work hours.

Utilized transformer encoder from NLP architecture alongside unsupervised machine learning algorithms such as K-means clustering with UMAP dimensionality reduction, clarifying further steps for 10+ future investigative studies.

Wrote and researched a Bloomberg News article detailing the derivation of industry insights through tools such as Bloomberg Terminal functions and Excel, then presenting this research to industry analysts.

Company Financials Global Data Intern

Streamlined math and english learning experiences for middle and high school students by observing areas of weakness and preparing customized study material, boosting their grades in school as well as in standardized tests.

Developed students’ healthy study habits by setting up meetings with students’ parents and updating them on the student’s learning progress, ensuring that the student completed homework and reviewed material from prior classes.

Tutor

Advanced studies of heart health through analysis and transformation of CT images through the Philips Intellispace Portal, resulting in several novel publications describing associations between normal heart geometry and other diseases.

Contributed to the medical database by analyzing and logging data found in previously unlogged CT images using Philips Intellispace Portal and Microsoft Excel, resulting in greater access to a quantity of newer data.

Studies included: Liver and Bone Density study, Left Ventricular Remodeling study, Left Ventricular Volume study, Garlic and Heart Health Study

Intern

Validated process improvement results by designing a sample and utilizing a paired t-test, showing upwards of $50,000 dollars saved annually in implemented sites.

Minimized outbound defects and enhanced cohort of 100+ warehouse associates’ experiences after a flaw was identified in the area where packers were retrieving items, causing many small items to be lost, and then fixing the flaw with a custom engineered component.

Contributed to the fulfillment center’s inbound and outbound flow through processes of decanting totes and pallets, stowing and picking items, sorting and packing packages, and jam clearing.

Area Manager Intern

Influenced investment decisions by providing comprehensive research reports of securities on a regular basis through utilization of FCF and EBITDA analysis, as well as analysis of present and future prospects.

Partook in venture capital deal flow by attending meetings with prospective companies and reading pitch decks, resulting in a more comprehensive understanding of what companies are suitable for Knockout’s investment goals.

Research Fellow

Using PySpark, Azure Synapse, KQL, and SQL, developed ETL pipeline to create an end-to-end monitoring and notification system for cost and resource consumption, achieving immediate annual savings exceeding $300,000.

Leveraged Power BI, Azure Workbooks, Azure Resource Manager, and KPI aligned data analytics to develop compelling visualizations and quantify reduction of over 30% of total excess cloud costs to stakeholders.

Data Science & Data Engineering Intern

Built 4 semiautomatic ETL workflows with Quickbase and Alteryx to wrangle, manage, aggregate, and analyze data, statistically quantifying issues and improving identification of business critical safety risks, issues and patterns. 

For weekly standups, organized data stories with Excel and PowerPoint to highlight gaps in employee and operational safety and communicate those results with policy facing stakeholders, improving standard operating procedures.

Risk Management and Safety Assurance Intern

Enabled pre-deployment qualitative evaluation of an AI conversational search feature using an internal GPT-4-based LLM-as-a-judge pipeline, enabling proxy metrics in the absence of CTR, NDCG, and engagement.

Tested and evaluated an embedding-based product search pipeline leveraging GPT and CLIP via Vertex AI, improving relevance metrics and enabling retrieval for previously unserved queries and customer missions.

Prompt-tuned a GPT-4 judge model for high alignment (using metrics like Cohen’s K) with human ratings and used it to score and optimize query refinement system prompts via a genetic algorithm.

Data Science Intern

Founder

I'm Daniel Wang, data scientist at the intersection of cutting-edge AI, scalable data engineering, and product impact,

Know about Daniel Wang's work experience, education, bootcamps, certifications, and much more. Daniel Wang