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Curriculum Vitae

Name: Alex Do

Email: alex.do@email.com

Location: New York, NY

Summary:

As a data scientist with a PhD degree and 5 years of work experience (see my education), I have a deep understanding of statistical modeling, machine learning, and data visualization. My career has been focused on solving complex business problems through the use of data-driven insights, and I have a proven track record of delivering measurable results (see experience section). As a data scientist with a PhD degree and 5 years of work experience (see my education section), I have a deep understanding of statistical modeling, machine learning, and data visualization (more details in skills section). My career has been focused on solving complex business problems through the use of data-driven insights, and I have a proven track record of delivering measurable results (see experience section). Example of my work can be found here. (education-label)=

Education:

  • PhD in Computer Science, New York University, 2013-2018
  • MS in Computer Science, University of California, Los Angeles, 2011-2013
  • BS in Computer Science, University of Illinois at Urbana-Champaign, 2007-2011 (skills-label)=

Skills:

  • Strong knowledge of statistical modeling and machine learning techniques
  • Expertise in data cleaning, feature engineering, and model selection
  • Proficient in programming languages including Python, R, and SQL
  • Experience with data analysis tools such as Tableau and PowerBI
  • Excellent project management skills with experience leading cross-functional teams
  • Strong communication and presentation skills with the ability to convey complex data insights to both technical and non-technical audiences (experience-label)=

Professional Experience:

- Lead data scientist for a team of five data scientists working on projects in finance, healthcare, and retail industries
- Developed machine learning models to predict customer churn and identify upsell opportunities for a retail client, resulting in a 20% increase in revenue
- Created a dashboard to visualize customer engagement metrics for a healthcare client, resulting in a 15% increase in patient satisfaction scores
- Conducted data analysis and provided recommendations to executive leadership on strategic initiatives
- Mentored junior data scientists on best practices for data analysis and machine learning

- Conducted data analysis to identify opportunities for cost savings in the supply chain, resulting in a 10% reduction in supply chain costs
- Developed machine learning models to predict customer behavior for a financial client, resulting in a 25% increase in loan approvals
- Created a dashboard to visualize key performance metrics for a marketing campaign, resulting in a 30% increase in conversions
- Collaborated with cross-functional teams to develop and implement data-driven solutions

- Conducted data analysis to identify opportunities for process improvement in manufacturing operations
- Created reports and dashboards to visualize key performance metrics for executive leadership
- Collaborated with cross-functional teams to implement process improvements

Certifications:

To satisfy my eagerness for knowledge, I enroll in online courses in areas of Artificial Intelligence and Software Engineering that pique my interest and undertake independent projects during my leisure hours. A few examples of such projects include: ::::{grid} :gutter: 3

:::{grid-item-card}

- Microsoft Certified: Azure Data Scientist Associate
- AWS Certified: Machine Learning – Specialty
- Deep Learning Specialization - Coursera
- Machine Learning Engineer Nanodegree - Udacity
- React Nanodegree - Udacity

:::

:::{grid-item-card}

- Statistics Specialization: Introduction to Probability and Data, Inferential Statistics - by Duke University - Coursera
- Python Data Science and Machine Learning Bootcamp - Udemy 
- Mathematics for Machine Learning Specialization - Coursera

::: ::::

Publications:

  • Smith, J., and Jones, L. "A Comparative Analysis of Machine Learning Techniques for Predicting Customer Churn," Journal of Data Science, Vol. 5, No. 2, 2019.

Professional Memberships:

  • Member, Data Science Association
  • Member, American Statistical Association
  • Member, Institute of Electrical and Electronics Engineers (IEEE)