Maria Tanner, Ph.D.

Data Scientist

Quantitative Analyst

OVERVIEW

Maria Tanner is a senior data scientist at Amazon, Los Angeles. Business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. Relied on as a key advisor in driving global, multibillion-dollar growth; gains in customer loyalty; and record-setting profit improvements.

SKILL

  • Data and Quantitative Analysis

  • Big Data Queries and Interpretation

  • Data Mining and Visualization Tools

  • Machine Learning Algorithms

  • KPI Dashboards and BPI Plans

  • Business Intelligence (BI)

EXPERIENCE

Data Scientist

Amazon/Los Angeles, CA/2017 to Present

Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.

  • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
  • Identified, measured and recommended improvement strategies for KPIs across all business areas.

Sr. Analyst

Microsoft/Seattle, WA/2014 to 2017

Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment and process reengineering.

  • Data Mining and Modeling: Collected, cleansed and provided modeling and analyses of structured and unstructured data used for major business initiatives. Outcomes:
    – A 15% reduction in transportation costs, resulting in $1.2M annual savings.
    – Improved demand forecasting that reduced backorders to retail partners by 17%.
    – Completed focus group and BI research that helped boost NW region sales by 15%.

Research Associate

Procter & Gamble/Seattle, WA/2010 to 2014

Recruited for full-time position following internship and completion of bachelor’s degree. Develop and execute analytical test methods and controls for the manufacture of cell-based biological products.

  • Performed wet-lab and molecular biology scientific research, using methods including enzyme-linked immunosorbent assay (ELISA), Fourier transform infrared (FTIR) spectroscopy, high-performance liquid chromatography (HPLC) and polymerase chain reaction(PCR).
  • Served on research team that succeeded in new cell line sourcing and characterization assay development for a bioengineered skin substitute accelerating burn victims’ healing process by 35%.

EDUCATION

University of Washington

Ph.D. in Statistics | MA in Behavioral Economics

University of California, Los Angeles

BS in Mathematics, Minor in Computer Science

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”

STUDY FIELD

Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.

Data Curation Profiling to Assess Data Management

To explore current data management training needs and practices for Belmont Forum member agencies and researchers to inform a Toolkit.

  • Gaps in existing knowledge of data management theory and practice that could impact data re-use.

  • Effective practice resources specifically developed to train Belmont Forum grant awardees.

An Intelligent System for Collaboration & Knowledge

The universities are located in different geographical areas and collaboration is difficult. This makes accessibility to data and information a problem.

  • Shared with other universities due to lack of virtual collaboration on a grid computing platform.

  • Knowledge building and management in a country is a function of the information that one could have access to with ease.

Radio Frequency Identification Technology for Library

The knowledge learned in the campus can hardly meet the needs of the society, so the library has become the choice to supplement knowledge.

  • The collection counting efficiency of intelligent libraries was much higher than that of traditional libraries.

  • The high accuracy and stability of book query avoided the dislocation and chaos like traditional libraries.

REFERENCES

She works on our website conversion and data analysis has made a significant difference to our business. We’ve seen a 146% increase in engagement from the website which has been pretty remarkable – but I’d always like to see more!

Jason N. Patterson, Amazon

We were able to test our way from a 5% conversion rate, all the way up to 20%. Without driving any more traffic, our client is getting four times the leads that he was getting before.

Essie H. Ashley, Microsoft

When it comes to digital marketing there are loads of commentators that talk a good game, but Maria helps you make it happen. She has enabled me, coached me and given me the confidence to share Amazon’s story widely. It’s engaging customers and industry commentators alike, and bringing our new business great results.

Doris L. Pica, P&G

CONTACT

Maria Tanner, Ph.D.

Senior Data Scientist

Amazon.com
Los Angeles, California

  maria.tanner@amazon.com
  +1.206.092.3810