Daniel Tran Email & Phone Number

Australia

Sydney, New South Wales, Australia

- Deploy statistical techniques to identify and fix data quality issues, to integrate data from multiple sources, to ensure a high quality input data for forecasting process.- Validate new sources of data with robust statistical methods to ensure a high quality of data in the production pipeline.- Perform time-series/univariate/multivariate analysis of the patterns/trends of call center volume, then incorporate robust statistical modelling approaches and statistical algorithms into frameworks that forecast call center volume, which in turn has significant financial and operational implication. Some of these approaches include data cleaning, feature engineering, feature/model selection, examine diagnostic plots,… The forecast achieves a 90% accuracy rate at intraday level and a 95% accuracy rate at monthly level.- Liaise with service managers to present forecasts, historical forecast performance and estimated cost for reviewing and approval, with the help of interactive visualization from R Shiny dashboard and Qlik dashboard.- Design, develop and productionize forecast Qlik dashboard to a high professional standard, to communicate forecast performance and related KPIs to internal and external stakeholders.- Thoroughly document execution details of the forecast frameworks and forecast delivery processes to allow for better handover and minimize key person operational risk.

Australia

- Conduct data collection, data analysis, produce descriptive statistics and visualization for data related to trending social topics like gender diversity in the workforce and work from home culture. These analysis are later on featured in articles from popular newspaper like The Sydney Morning Herald and Australian Financial Review.- Develop company's internal machine learning capability, by implementing transfer learning on textual data to model industry classification, which helps identify the label of new cohort of data with an accuracy rate of 85% and F1 score of 82%.- Deploy various specialized ETL techniques, usage of API calls in Python Scripts, query data from AWS Redshift database using CLI and data wrangling methods to ingest, retrieve and clean raw data, which results in thousands of new clean data points that are ready to be used for analysis.- Produce 3 Tableau dashboards in several client-facing projects, each of which contains numerous insightful data fields with value-added attributes that are ready for clients to query and use in their analysis. Responsible for the monthly update process of these dashboards.- Incorporate exploratory data analysis, with a combination of supervised learning and unsupervised clustering to extract insights from textual data, which are published as 10 additional value-added attributes and filters in the Tableau dashboards.

Singapore

• Responsible for social media marketing and customer service for 2 senior financial consultants• Generate new leads by reaching out to 10-20 new potential clients per day• Identify suitable social media channels to advertise on and post 1 product-related content per day • Post non-product related contents on own page to stay connected and boost interaction with existing following• Address customers’ initial concerns and interest in the products offered• Perform administrative duties by reaching out to existing clients to ask for feedback on FC’s performance and arrange meetings for financial review

Master'S Degree, Data Science

Bachelor'S Degree, Economics