Daniel Lo Email & Phone Number

San Francisco, California, Us

San Francisco, California, Us

• Built a random forest classifier that labels IP and user-agent combinations as bots, which filters out non-human activity from our data so customers have a more accurate view of which companies are interested in their product• Spearheaded the third iteration of the IP to company data pipeline and algorithm by creating the product roadmap, improving pipeline design and collaborating with a data scientist to reconstruct how we model confidence• Collaborated with engineers, PMs, and designers to create a product usage UI and an alert feature, where I built the data pipelines, influenced product decisions, and tracked KPIs• As the first analyst, I became an expert across our entire product and created Tableau dashboards that provided business units with insights into our data and were crucial to closing deals • Improved the voting algorithm for selecting ranges and industries in our firmograph tables by fitting a data set of correct and incorrect values to a linear regression model using Python to find an optimal time decay function, which improved precision and recall by 25%• Created and tested new confidence calculations that represent how strong IPs and cookies are linked to companies and its employees by running experiments using publicly known IPs to validate that they are a better statistical representation• Built an ETL pipeline in Hive that processes over 500 million rows daily to vote on companies that IPs are most associated with using first party cookies in common, which has led to 6sense consistently beating other ABM platforms in IP match rate tests and winning the deals

San Francisco, California, Us

Hillsboro, Oregon, Us

• Built, automated, and owned multiple reporting dashboards for tracking promotional offers and deposit performance to give senior management and sales teams instant visibility to data using SQL, Tableau, and Alteryx• Wrote SQL queries and leveraged Python/Pandas and Tableau to perform ad-hoc analysis to help drive optimal business decisions• Built financial forecasting, time series, and linear regression models in Excel and Python to predict monthly deposit inflow/outflow as well as product and offer performance• Conducted an A/B test to confirm if sending print mail to members of Gen X and Millennials for promotional offers brought in significantly more deposit dollars compared to only sending email, which we validated was correct bringing in 17% and 14% more respectively• Influenced the creation of new deposit products and promotional offers by leveraging data insights• Launched and supported promotional offers that drove over $500 million in new deposits

Certificate, Machine Learning

Bachelor Of Science (B.S.), Business/Managerial Economics

Certificate, Corporate And Organizational Strategy, Public Finance