HI THERE!
I’M WALTER CHOI
Combining Data Science and Automation:
To empower your data-driven decision-making in the laziest way possible.
Combining Data Science and Automation:
To empower your data-driven decision-making in the laziest way possible.
I’m driven by a passion for unlocking potential through applied intelligence, blending automation with deep data science expertise. With a multifaceted career spanning diverse roles—from Biomedical Scientist to Data Engineer—I’ve accumulated a wealth of knowledge in creating efficient, data-led solutions that streamline processes and drive business results.
My strength lies in my ability to transform complex, manual workflows into automated, scalable systems that deliver actionable insights. Whether leading data teams or designing end-to-end automation processes, I focus on improving operational efficiency and enabling smarter decision-making. I thrive on making the complex simple, allowing businesses to harness the power of their data with minimal effort.
Over the years, I’ve had the privilege of working across a broad spectrum of industries and roles, each of which has shaped my unique approach to solving data problems.
Leading a talented team of six, I was responsible for overseeing major data initiatives, including integrating new data sources like Google Analytics GA4 and automating complex migrations from platforms such as Salesforce to Chatwoot. My work ensured secure, high-quality data for business-critical decisions while driving significant efficiency gains.
During my time as a Data Engineer, I developed a custom ETL platform using Node.js that automated the flow of data from various internal systems into an AWS RDS-based warehouse. This solution provided seamless access to unified data, which improved operational efficiency and supported informed decision-making.
I managed a 300,000+ customer mailing list, building automated lead generation pipelines and targeting high-probability customers. This role sharpened my understanding of how to leverage data in marketing, enabling more efficient and targeted campaigns.
These experiences have provided me with a comprehensive skill set that blends technical expertise with strategic vision, enabling me to solve complex business challenges through data-driven automation.
Takes provided JSON format data and automatically creates/inserts SQL tables.
Identifies data type, possible indexes for streamlined processing.
Changes datatypes, lengths, and even adds new columns to handle new data for a self-healing database.
Upcoming feature: Additional module that automatically connects two tables for a combined view predicting index and important fields.
Simplify inserts through AutoSQL by predicting data types, indexes, and schema creation. Built to be additive and non-destructive to existing data.
Repository available on npm.
For Pipeline Prediction and Sales Enablement
Answering the question: "How do we bet our resources on the winning leads?"
Using models of Expected Return vs Management of Risk.
Identification of 'hottest' opportunities for prioritization
3-metric based model taking into account all details of Sales CRM (automatically scraped):
Simulated improvements of ~15% sales and ~7% revenue over 1 year using insights with no extra resources or effort.
(Based on sample client CRM data - results different for everyone and their sales model)
Successfully implemented as an integration on Salesforce across two organizations, leveraging a robust SQL back-end. The API integration connects seamlessly into the round-robin system, ensuring efficient lead distribution and maximizing sales opportunities.
If you’d like to catch up for a coffee or discuss how I can help with your data needs, feel free to reach out via email.
Email: [email protected]
