Analytics Engineer Intern
Sinwise
May 2025 — September 2025
Hello, I’m David.
Analytics Engineer.
I build reliable Python and SQL data workflows, PostgreSQL data models, validation systems, and practical tools for analytics and operations.
About Me
I’m a UC Berkeley Data Science graduate with hands-on experience building Python and SQL ETL workflows, structuring PostgreSQL data, and validating multi-source operational data.
My background combines analytics engineering with technical operations, including system validation, troubleshooting, workflow support, and user training. I’m interested in solving practical data and technology problems.
View my work ↗Past Experience
Systems & Operations Support
Alameda County Registrar of Voters
March 2026 — July 2026
B.A. Data Science
University of California, Berkeley
Graduated August 2026
A.S. Computer Programming
Laney College
Graduated May 2024
Skills & Tools
Technologies and practical skills I use across analytics, data engineering, and technical operations.
Data & Analytics
Python
SQL
pandas
NumPy
scikit-learn
Jupyter
Matplotlib
Seaborn
Excel
Data Engineering
PostgreSQL
Git
GitHub
Databricks
Core: ETL/ELT · Data Modeling · Data Quality
Developing: dbt · Dagster · Docker · APIs
Systems & Technical Operations
Windows
macOS
Linux
Command Line · Hardware Support · Networking Fundamentals · Connectivity Testing · Ticketing · Incident Documentation · End-User Support
Portfolio
Analytics engineering, operational data, and applied machine learning projects.
Completed project
Email Classification & Intelligent Triage
Built a leakage-aware text-classification workflow to identify spam while protecting legitimate email, from data-quality review through held-out evaluation.
Python · scikit-learn · TF-IDF · Logistic Regression
View results
The final Logistic Regression model achieved 98.24% accuracy, 94.36% spam precision, and 99.07% spam recall on 1,251 held-out emails. It detected 318 of 321 spam emails while incorrectly flagging 19 legitimate emails.
98.24%
Accuracy
99.07%
Spam recall
94.36%
Spam precision
Planned development
Job-Fit Intelligence System
A data pipeline for collecting and standardizing job postings, identifying required skills, and prioritizing opportunities based on candidate alignment.
Python · APIs · PostgreSQL · Dagster
See project overview ↗
The system will collect job postings from multiple platforms, normalize inconsistent fields, extract skill requirements, and generate transparent fit scores for human review.
Sources
3 job APIs
→
Normalize
Job data
→
Match
Skills
→
Prioritize
Opportunities
In development
Order-to-Fulfillment Data Platform
An end-to-end analytics engineering platform connecting orders, inventory, production, fulfillment, and operational reporting.
Python · PostgreSQL · dbt · Dagster · Docker
See project overview ↗
The platform transforms operational source data into validated models and decision-ready metrics covering order flow, available inventory, fulfillment status, and delivery performance.
Orders
Demand
→
Inventory
Stock
→
Production
Capacity
→
Fulfillment
Delivery
Contact
Let’s build something useful.
I’m open to analytics engineering, data operations, and technical operations opportunities in the San Francisco Bay Area.