Christopher Sy Email & Phone Number

Nashville, Tn, Us

Nashville, Tn, Us

Louisville, Ky, Us

Yokohama-Shi, Kanagawa, Jp

Responsible for collaborating with business partners to identify business problems that can be formulated and solved as Data Science or Data Engineering Problems, prioritizing based on ROI. I lead the solution design, development of minimum viable products, and oversaw project transition to RTB and continuous development teams. Lead and mentored RTB and Continuous Development team of 4 Data Engineers that maintain and continue development of Data Science products, ETL, apps, models, and tools.Successful Project Examples include:- Out-of-Warranty retention model predicting likelihood of customer retention if company pays for repair even though it is out of warranty. Lightgbm binary model was developed in R, then deployed with Python and Sagemaker. Estimated results show a yearly savings of $1.7 million by eliminating “out of warranty” payments to customers that will not return.- Automated Sentiment-Mining process utilizing automotive RSS feeds to find news articles for vehicle reviews, identify specific vehicles and features, and quantify sentiment associated with those features. This process replaced purchasing consumer feedback for new products saving over $50,000 per launch and enabled product refresh cycles to be completed 4 to 12 months earlier. - Call Center Lead Prioritization process utilizing random forest to quantify the likelihood a lead will answer on the first call. Model was developed in R then transferred to Python and deployed in Salesforce with Hiroku. Limited pre-COVID results showed 13%-30% increase in weekly contact rates.- COVID Recovery Tracking application highlighting how close 203 geographic markets were to pre-covid performance utilising multiple open source data sources including aggregate travel and covid case counts along with internal sales, shipments, inventory, repairs, and KBAs, with hierarchical time series models determining expected performance. Delivered by Shiny app hosted on RStudio Connect.

Yokohama-Shi, Kanagawa, Jp

- Collaborated with multiple business leaders to identify programs with questionable ROI, performed cost-benefit analyses, formulated recommendations, and communicated results and recommendations to business partners and executive leadership.- Designed, acquired, deployed, and administered on premise & cloud Data Science environments consisting of R/Python servers, Microsoft SQL server, Snowflake, and RStudio Connect Server, with Admin, SA, and sudo rights.- Twitter API integration to capture discussion of desirable vehicle features. New and emerging features were analysed and categorised through NLP methods, clustering, and logic processes. Resulting analysis was delivered via Shiny app hosted on RStudio Connect.- Incentives Web-Scraping to capture text for all advertised pricing and offers from 19 competitor websites. Web interaction with Python, text parsing, multi-threaded scheduling, and database interaction with R. Data was delivered to end-users via Shiny app hosted on RStudio Connect and direct database consumption. This eliminated the need to purchase this data saving at minimum $200,000 per year.- Vehicle Configurations API integration extracting 250,000+ unique configurable vehicle combinations with selections based on business segmentation and k-means clustering. Data was used for cluster-based pricing and feature analysis utilizing time-series forecasts to predict deviation from expected values along outlier detection. Data and analysis was delivered via Shiny app hosted on RStudio Connect. API integration eliminated vendor work saving $60,000 per year.

Nashville, Tennessee, Us

- Developed and maintained an analysis and forecasting platform leveraging R and Shiny that provides analysts easy access to customer sales, customer orders, and company shipments. The platform identifies product & customer trends, provides optimum forecasts, scenario-based methods, and enables analysts to identify opportunities and make modifications for their specific areas of responsibility.- Developed and maintained models of vehicles in operation by vehicle make, model, model year, and tire specifications, by zip code, along with national tire sales by tire specification, historically and with future projections, to produce statistical model of company product sales for the next five years based on the total potential customer base per product, over time.- Established quantitative method for transitioning ending products to new products from location-level to aggregate level.

Nashville, Tennessee, Us

- Produced monthly reports for Executive management reviewing business performance with KPI’s, highlighting opportunities through analysis of industry sales and industry inventory’s impact on company sales.- Integrated customer sales forecasts as automated input to company shipments and billing invoices forecast.- Maintained monthly shipments forecast for one half of total consumer sales.

- Oversaw and carried-out scheduling, billing, payment, accounting, budgets, staffing, production, andday-to-day operation.- Developed packages specifically meeting demand of target markets determined throughcompetitive analysis.- Analyzed facility requirements, developed presentation standard; implemented system for sustainingfacility requirements and presentation standard.- Lead and trained employees for event conceptualization and planning.- Oversaw, participated in, and trained employees for all aspects of production.

- Compiled and maintained housing, sales tax by category, and unemployment data for TennesseeMSAs.- Analyzed data for trends, accounting for seasonal factors.- Forecasted quarterly utilizing housing, sales tax, and unemployment in model.- Researched potential impacts of investment upon economies.- Sought out quantitative explanations and implications of trends.- Produced graphics clearly communicating analysis for use in quarterly publications.

Bachelor Of Science (B.S.), Economics

Bachelor Of Science (B.S.), Audio Production