Julia Meo Email & Phone Number

Seattle, Washington, US

Atlanta, US

Seattle, Washington, US

• Implemented at scale a least-squares solution to a linear regression model ofhome price appreciation at different cadences and regional levels
• Interim managed and built out a team of six data scientists
• Developed a new end-to-end framework for building and deploying dataproducts at scale for internal and public audiences

Seattle, Washington, US

• Developed a forecasting framework for core business metrics, improvingmodel evaluation techniques and model performance
• Created novel data reporting tools for business partners across theorganization

Seattle, Washington, US

• Developed algorithm to characterize relationships between keywords in acontrolled vocabulary via PySpark
• Designed a deep learning network to identify misapplied tags on images usingimage metadata
• Designed and prototyped a data science pipeline using AWS and existing datasources

San Francisco, California, US

• Developed recommendation algorithm by applying a natural language processing approach applied to product descriptions and user behavior
• Evaluated and tuned implicit matrix factorization recommendation algorithm via PySpark
• Developed clustering algorithm using a k-nearest neighbor approach on unstructured text data
• Created reporting tools for analytics team to monitor algorithm performance during A/B testing
• Developed algorithm to predict user purchase behavior over time with respect to repurchasing patterns observed sitewide
• Developed analytical tool to assess suitability of recommendation algorithms for clients’ websites

San Francisco, California, US

• Developed bootstrapping algorithm to determine 95% confidence intervals for measured traffic pattern data
• Applied survival analysis to determine a model for when a mobile app user is likely to delete Avenace app; this provided the outreach team with timeline to reach out to users and minimize user churn.
• Developed binomial proportion confidence interval algorithm to determine when demographic data is below minimum reporting standards.
• Created quality control data pipeline to flag incomplete datasets, and determine if observed differences in data is statistically significant before delivering data reports to customers.
• Prototyped interactive data dashboards for both internal and external use.

• Developing statistical data quality control procedure for data products
• Developing custom library of functions to mine PostgreSQL database for data product development
• Characterized and monitored the effects mobile app usage and churn on customer facing data analyses
• Prototyping interactive data dashboards for both internal and external use

• Creating a new optical system for a light filtering tool from concept to product.
• Developing applications in C# to predict properties of the new optical tool, based on different variables in the system.

Philadelphia, PA, US

• Collaboration with multi-disciplinary team to collect optical data in clinical setting.
• Analyzing raw data, drawing conclusions to inform future clinical trials
• Developing data processing and analysis applications in Matlab.
• Developing a series of Monte Carlo simulations and corresponding statistical analysis applications in C and MATLAB.

Philadelphia, PA, US

Conducted office hours and review lectures to help students better understand course materialCreated study aids, problem sets, and exams for large lecture courses

Bellevue, WA, US

• Applied extensive research to develop a prototype for a new tool for optical detection of certain types of diseases.
• Worked independently to move project from concept to prototype.

Planned outreach events to raise awareness about issues affecting women in the communityCoordinated fundraising events for up to 500 people

New York, NY, US

Worked with girls ages 5-18Planned weekly exploratory activities relating to STEM fields

New York, NY, US

Cambridge, Massachusetts, US

• Obtained data via in-house software from TRACE database (1000+ TB)
• Developed a statistical image processing algorithm to identify coronal loops in IDL.
• Analyzed detected loops with existing model to approximate the strength of the magnetic field of the observed loops.

Charlottesville, Virginia, US

• Used SQL to mine for appropriate galaxies in Sloane Digital Sky Survey (7 TB) and GALEX database (~3TB).
• Used in-house data mining program to select appropriate galaxies from the VLA database (160 MB).
• Developed algorithm in in-house language (AIPS) to determine if observed regions of high ultra- violet and H1 levels corresponded to star formation.

Doctor Of Philosophy (Phd), Theoretical And Mathematical Physics

Ms, Physics

Ba, Astrophysics, Mathematics, Politcal Science