Minh Bui Email & Phone Number

New York, Ny, Us

- Spearhead the initiative to enhance data observability by implementing Monte Carlo for data alerting and monitoring for 100% of Wirecutter data assets, ensuring data quality and reliability. This helps our organization detects and triage data issues such as staleness or unexpected drops in traffic/revenue- Lead the initiative to introduce dbt Core at Wirecutter on terabytes of traffic data. Personally designed and implemented dbt Core with the stack of Kubernetes on Airflow (Cloud Composer), Drone for CICD and BigQuery- Fine-tune BigQuery performance. Many long running querries were optimized to run from 1 hour to only 5 minutes.

New York, Ny, Us

- Assume ownership of multiple Airflow DAGs. Lead and evolve the design of these data pipelines to fit with the Wirecutter's business requirements- Migrate data services from AWS to GCP. In particular, contribute to the efforts in setting up GCP’s Cloud Composer, BigQuery and CloudSQL- Develop multiple LookerML models that feed data into actionable visual dashboards

New York, Ny, Us

- Implemented tasks orchestrator solutions, using Airflow/Luigi, ensuring smooth insert/update operations on millions of rows- Automated Python ETL pipelines to pull reports from multiple data sources and APIs (Facebook, Twitter, Snapchat, Nielsen, Amazon Audience, etc.)- Led consultation projects on how to optimize SQL queries and stored procedures performance (setting index keys, proper data normalizations)- Designed database schemas on Microsoft SQL Server and Snowflake, while maintaining several legacy ETL packages using Microsoft SSIS

London, England, Gb

- Managed econometric modeling projects, automating the data cleaning process in R and building statistical models to explain media channels’ sales contributions- Worked with big data technology (Amazon EMR, Apache Spark & Hive) to run decision tree model for multi-touch attribution projects- Built out engaging stories, helping clients on exploring optimal media channels allocation mix and scenarios forecast based on econometric models. Clients in these projects range from pharmaceutical company (Allergan) to retails (TJX)

London, England, Gb

- Developed a Python module, that allows seamless connection with third party APIs (Google’s DoubleClick, Google AdWords, Adobe Analytics, Facebook Business Manager) - Scripting in R and Python to automate the company’s data cleaning and reporting processes

New York, Ny, Us

- Teaching Associate for the fall session of Python for Data Analysis class in the Master of Science in Applied Analytics Program, Columbia University School of Professional Studies- Teaching Associate for the Summer Capstone classes in the Master of Science in Applied Analytics Program, Columbia University School of Professional Studies

New York, New York, Us

- Supported the development of BAVSOCIAL™, Y&R's proprietary approach to social analytics that connects long-term brand perceptions with short-term online behavior to understand how people form communities around brands- Developed the first presentable version of BAVSOCIAL™ algorithm, which calculates composite Brands' performance scores from social, digital and web traffic data. Also participated in testing and adding improvements to the proprietary BAVSOCIAL™ algorithm- Constructed an Extraction-Transform-Loading (ETL) process that automatically connect third party social platforms’ Application Programming Interface (APIs), download social data and perform numerous data preparation tasks such as cleaning, calculation and storage- Data Governance: Ensured the quality, consistency and integrity of BAVSOCIAL™ database- Researched and developed automation tools for BAVSOCIAL™ project’s daily operations. Specifically, wrote VBA macro and R scripts to automate different Excel and PowerPoint tasks- Programming language used: R , VBA and Python

New York, Ny, Us

- Automate the company’s day-to-day manual excel operations by programming in VBA

- Participate in various machine learning projects applied to Social Behavior and Finance- Construct Tensorflow-based deep learning structure, that requires multiple layers ofRestricted Boltzmann Machines, Autoencoders and Feed Forward Neural Networks, toenhance trading strategies in stock- Apply Naïve-Bayes machine learning algorithm, which is written in python, to predict stockprice

New York, Ny, Us

Graduate assistant for professor Canan Corus during winter semester of 2016- Assisted in gathering research materials by writing scripts in R & Python to scrape text data from online forums and newspapers.

New York, Ny, Us

- Use R, Python as main programming platforms- Collect performance data from social media marketing campaigns (Facebook, AdWords, TradeDesk, Sizmek) by interacting with APIs.- Clean and reshaped data by programming in R and Python- Automate the data collection process by writing R and Python scripts- Create custom analytics dashboard for clients using Shiny package in R

South Melbourne, Victoria, Au

- Researched clients’ products and business models in order to create digital marketing strategies- Optimized keywords, created ads and structured paid marketing accounts- Performed experiments with features of Google AdWords and Bings to increase traffic and revenues- Constructed Google AdWords and Bing accounts for clients such as Doorstep Organics, Migration Experts and Fairhaven Homes- Monitored performance of paid marketing accounts with average ROI per month of $250,000

Master’S Degree, Customer Intelligence And Analytics

Bachelor’S Degree, International Economics