Theingi Zaw

Theingi Zaw

Business Intelligence, Business Analytics, Web Development

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About Me

I'm currently working as a data scientist at HPE Singapore, where I get the chance to apply my knowledge and skills from my study and pervious work experience.

With solid computer science background, I spent four years as a web developer at a web agency, where I built a variety of client's web applications.

I joined Integrated Information Technology Services (IITS) department in Singapore Management University (SMU) since 2012. One of my responsibilities in SMU requires tracking web data and reporting KPI to stakeholders to help better decision making for marketing campaigns. I've picked up advanced web analytics and campaign management skills from Google Analytics and Google Adwords certified programme.

This infographic from datacamp.com describes me.

I enjoy working with data and currently studying master degree in Enterprise Business Analytics at NUS.

I’ve received a few awards in SMU, like "Business Improvement Just-Do-It 2017" and "Staff Service Excellence 2016" awards.

I’m a native Burmese and live now in Singapore.

Latest Projects


SMU Student Services Hub

Student Services Hub

The site was buit with Drupal CMS as backend knowledgebase for questions and answers. It also has chatbot widget using elastic search, web service API, json and mySQL.

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VRPTW

Vehicle Routing with Time Window for Salt Supplier

This project was built on heuristic algorithm (BEE) to find optimal routes for salt delivery to 100 restaurants. Nodejs, Json, Routific, Google Distance Matrix and Google Map were used for the project.

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CPBIP Dashboard

Dashboard for Corrupt Practices Investigation Bureau (CPIB)

A comprehensive and actionable dashboard, to help Corrupt Practices Investigation Bureau (CPIB)teams essentially focus on Operational Excellence of Singapore’s Balanced Scorecard.

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Data visualization

Geo-spatial Visualization and Analytics

the data using multiple visualization softwares (Carto, Tableau and ArcMap) and performed some additional analyses using SPSS-Modeler and RapidMiner.

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Other Projects

Dashboard – 5 Questions Dashboard

The dashboard showed a rich and progressively granular view of a company’s sales performance in the US.

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Predicting Daily Bicycle Demand for Capital Bikeshare Machine learning

Topredict total bicycle demand for the next day using different Day, Weather and past Demand information. A combination of ARIMA based time series forecasting, along with five different single model approaches. These methods are

  • Robust Linear Regression by Huber’s M estimation using bi-square weights
  • Quantile Regression using smoothing algorithm
  • Boosted Generalized Linear Model (GLM)
  • Multiple Linear Regression
  • Support Vector Regression using polynomial kernel

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Work Experience

Data Scientist - Hewlett Packard Enterprise (HPE) | Singapore (2018 - Present)

Analysis and visualization of data.

Senior Web Application Developer - Singapore Management University (SMU) (2012 - 2017)

Creating intranet and internet web responsive applications.

Software Engineer - Global SignIn, Singapore (2010 - 2012)

Designed and developed web applications for variety of customers.

Web Developer - Myanmar’s. NET (2008 - 2010)

Built content management websites.

My GitHub

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