Daliana Liu

I'm a career coach and entrepreneur. Previously, I was a Senior Data Scientist at Amazon with 7 years of experience in data science & ML. 

When I started my career, I felt lost. I struggled to meet expectations and feared I wasn't good enough. I had to figure out how to navigate my career and advocate for myself. Eventually, I got promoted to a senior data scientist at Amazon, leading high-impact projects and mentoring data scientists and MLEs. My career advice has been featured on Business Insider, Amazon Science Blog, and VentureBeat.

In my coaching program, I help data science/ML professionals advance their careers and future-proof themselves without the burnout. 

If you want to explore coaching, join my newsletter https://dalianaliu.kit.com/profile

CARRO

Data Scientist - Tech Lead

VNLIFE

Data Scientist

SenSING Private Limited

SenSING is a Singapore-based IoT and Data Analytics company focused on the most valuable asset in the Built Environment – people. 

 We are a successfully commercialized National University of Singapore (NUS) Spin-Off company. We currently have customers in Singapore, Malaysia and India.

SenSING provides solutions (for both retrofit and new build) focused on commercial buildings including but not limited to offices, hospitals, hotels, industrial facilities, and warehouses . We provide a real-time “state of the building” with a powerful end to end solution related to environmental conditions and spatial analysis. We enable personalized yet anonymized feedback , provide multi-modal sensors, rich data visualization, cloud data storage and  data analytics.

Gluu

Machine Learning Engineer

National University of Singapore

• Developed Deep Learning model for Cuffless Blood Pressure Estimation using Keras in AWS EC2.
• Developed Deep Learning models to model fluid flows using Keras, Tensorflow in AWS EC2.
• Modelled the spread of information in social networks using agent-based modelling and machine learning with Anylogic.
• Wrote custom Java code to incorporate Q-learning in a multi-agent context.
• Completed Deep Learning Foundation Nanodegree at Udacity and Deep Learning Specialisation at Coursera
• Attended fast.ai Deep learning course as an International fellow

Undergraduate Researcher

ExxonMobil

• Analysed data to guide key business decisions which is expected to save $15 million.
•	Demonstrated the ability to learn and apply business and analytical concepts adeptly. 
•	Implemented extract, transfer, and loading (ETL) processes using R, SQL, VBA, Access, and Power BI.
•	Developed and personalized Power BI dashboards to increase the productivity of co-workers.
•	Spearheaded the use of machine learning to improve analytical capabilities.
•	Experimented with extending Power BI’s visualisation and analytical capabilities with R by using graphical and machine learning packages.

Optimization Intern

fast.ai

fast.ai is dedicated to making the power of deep learning accessible to all.

International Fellow (Deep learning)

Hashmeta Pte Ltd

•	QA Testing of websites to ensure that they comply with UX guidelines.
•	Development of custom Wordpress page templates and plugins using PHP
•	Development of landing pages using Bootstrap, CSS, and Jquery.

Web Development Intern

Republic of Singapore Airforce

During his time in national service, Daniel demonstrated his adeptness in making critical decisions under heavy pressure and communicating effectively and concisely. As a result, he was awarded 2 Best service man awards

Air Operations Specialist

Singapore Press Holdings.

•	Wrote articles for Presslines. 
•	Helped to plan CSR events.

Administrative Assistant, Corporate Communications and CSR

Full-Stack Data Scientist with 5 years of applied machine learning experience. Notable achievements include guiding key business decisions which saved $15 million and successfully developing several end-to-end Machine learning pipelines from research to production. Highly skilled in Machine Learning, Deep Learning, and Critical Thinking. 

For any enquiries, please contact me at E0003361@u.nus.edu

taplio

The Battle

Daliana Liu

Daniel Tian Wen Da

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