Data Scientist as part of the Data Analytics & Governance Team

A scholarship program intended to help further fellows with data science within the industrial sector- Trained and tested Money Puck, a tool to help NHL General Managers value their players. - Used Python to implement a K-means cluster analysis, random-forest classification, and multivariate linear regression to predict player value based on player performance metrics (Scikit-Learn,Statsmodels)- Investigated the behaviour and relationships of data for two projects concerning health insurance and road accidents. Please see my Github profile (https://github.com/ashleyjones-projects).

As relevant work experience projects, I am designing and writing python code for the development of a Baseball, and Ice Hockey game. The games are based on old rotisserie styled games produced by the Avalon Hill Company (Statis Pro Baseball, Statis Pro Hockey). The concept uses real-time statistics of professional players and the probability of their stats to decide the outcome of the game. Games include AI platformsOther projects include Designing Python code for the building of AI aircraft and scenery databases for Lockheed Martin’s Prepar3D and Microsoft’s Flight-simulation packages Furthermore, I am active writing Blog posts regarding data science in Hockey.

- Wrote Python scripts for the automated acquisition of aerosol data from the NOAA (NASA) database- Designed and implemented scripts using Python and (My)SQL to produce SQL object oriented databases - Produced Python script tools (Libraries: Numpy, MatplotLib, Plotly, Pandas) for data quality purposes- Performed quality controlled machine learning assignments using Python to help better understand possible issues between inter-compared data-sets (Libraries: Numpy, MatplotLib, Pandas)- Basic GUI interface building using Python-Tkinter

Data scientist and researcher, assisting work in the Global Environmental Measurements and Modelling group.- Managed a NetCDF database using MATLAB as part of a European Space Agency’s (ESA) Climate Change Initiative (CCI) for ozone to help produce zonally averaged ozone data taken from the Odin SMR instrument. - Performed analytical analyses on Bayes-forward model calculations to help improve model predictions of satellite measurements- Developed a Probability Density Function filter using Gaussian mixture models to help identify outliers for a given data-set.

- ACE-FTS climatology projectConstructed monthly and tri-monthly zonal average climatologies for the 14 baseline species, O3, H2O, CH4, N2O, CO, NO, NO2, N2O5, HNO3, HCl, ClONO2, CCl3F, CCl2F2, and HF, measured by the ACE Fourier Transform Spectrometer (ACE-FTS). These data sets are intended for users who wish to validate or to gain a better understanding of atmospheric models.- ACE-FTS NOy climatology budgetBuilt on the success of the climatology project, a NOy climatology was built separately using six nitrogen containing species: NO, NO2, HNO3, N2O5, ClONO2, and HNO4. This project was an extension to the climatology project.- ACE comparisons during MOHAVE campaign.Conducted a validation of ACE-FTS and ACE-MAESTRO water vapour data by comparing to coincident LIDAR measurements taken at the Table Mountain Facility on October 12-26, 2009, during the Measurements of Humidity in the Atmosphere and Validation Experiments (MOHAVE) 2009 campaign.- ACE and its involvement in SPARC-DIConstructed the ACE-FTS and ACE-MAESTRO climatologies which are players in the Stratospheric Processes And their Role in Climate Data Initiative. This project’s main objective was a detailed comparison of climatologies of chemical trace gas species, which identify differences between the different data sets measured by numerous satellite instruments.- Data gap bridging studyInvestigated the feasibility of using data from either a limb/occultation or nadir viewing instruments to fill a gap in the time series between the termination of the ACE mission the initiation of the proposed CASS mission. This was tested using both ozone and carbon monoxide measurements. - Validation of ACE, JEM-SMILES, and Odin SMR ozone isotopologuesIntercompared ACE-FTS, Japanese Experiment Module Superconducting subMIllimeter wave Limb-Emission Sounder (JEM-SMILES), and Odin Sub-millimetre Radiometer (SMR) ozone isotopologue in terms of volume mixing ratios as well as enrichment values.

Taught a Radiative Transfer and Remote Sensing course to graduate students.

Participated in various Outreach projects:Work shop that focused on Grade 11 and 12 Uxbridge secondary School students and other participants who presented research posters during a poster session.West Preparatory Junior Public School, Toronto, Ontario. Assisted in the Student-Researchers Atmospheric Collaboration by facilitating data analysis, interpretation, and presentation of collected data with students in Kindergarten and grade six.Science Rendezvous, Toronto, OntarioParticipated in a day-long science-based public event across Canada. Demonstration of making clouds in a jar and simulation of atmospheric circulation; workshops to build spectroscopes, thermometers, and Cartesian divers; as well as, displays of Arctic outdoor gear and photos from various campaigns.

Carried out various validation studies to help improve the quality of the Odin SMR retrieved product. Illustrated assimilation to be an appropriate method for validation of satellite measurements when very few coincidences are available between satellite measurements and balloon sondes. Investigated and extended ozone and water vapour time series by amalgamating satellite data sets and using linear regression to determine trend estimates of decadal stratospheric ozone depletion and potential recovery.

Helped construct an improved version of the pre-existing Dynamical Isentropic Assimilation Model for OdiN Data (DIAMOND) model used for investigations of ozone depletion in the winter pole using Odin SMR and the ENVISAT Michelson Interferometer for Passive Atmospheric Sounding MIPAS data.

Learned the applications of data assimilation of satellite atmospheric data using measurements of Odin SMR. This also included a beginners course in the programming language, MATLAB.

Drafted an educational colouring book for the indigenous people of the Peruvian rainforest. The book was designed to teach children about their habitat and the importance of their wellbeing.