Summary
Work History
Education
Skills
Current Job
Data Science Projects
References
Timeline
Generic

ELIJAH SABONDO

Gregory Hills,Not Specified

Summary

16 years+ experience in the Health sector mainly in Mental health, as Mental health clinician, Clinical Nurse Consultant, Clinical Nurse Specialist, Acting Nurse Unit Manager, and at Universities (as Lecture/Tutor and Clinical Facilitator).

Work History

Data Scientist/Analyst

Institute Of Data Sydney
Sydney
02.2022 - 08.2022
  • Applied statistical and algebraic techniques to interpret key points from gathered data
  • Provided comprehensive analysis and recommended solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings
  • Compiled, cleaned and manipulated data for proper handling
  • Developed polished visualizations to share results of data analyses
  • Tested and validated models for accuracy of predictions in outcomes of interest
  • Presented findings orally and in writing with advanced mathematical models
  • Modeled predictions with feature selection algorithms
  • Applied loss functions and variance explanation techniques to compare performance metrics.

Clinical Facilitator (Nursing)

University of Technology Sydney and University of Tasmania
Sydney

Education

Post Grad. Program : Data Engineering - Data Engineering

Purdue University
01.2024

Professional Certificate in Data Science - Data Science

Institute Of Data -Australia
08-2022

Master of Science : Mental Health -

University of Northampton

Bachelor of Nursing : Nursing -

University of Dundee

Bachelor of Arts : Statistics -

University of South Africa

Skills

  • Applied Statistic Analysis
  • Coding: Python, SQL
  • Data Collection
  • Exploratory Data Analysis
  • Data Cleansing
  • Data Visualizations -(Power BI, Seaborn, Plotly)
  • Dashboard Creation
  • Data Manipulation
  • Jupyter Notebook
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Gradient Boosting
  • Ridge Regression
  • Lasso Regression
  • CatBoosting
  • XGBoosting
  • Unsupervised Learning
  • Regression Algorithms
  • Classification Algorithms
  • Logistic Regression

Current Job

Mental Health Clinician (Nursing), at Campbelltown Hospital, Sydney. 16 years+ experience in the Health sector mainly in Mental health, as Mental health clinician, Clinical Nurse Consultant, Clinical Nurse Specialist, Acting Nurse Unit Manager, and at Universities (as Lecture/Tutor and Clinical Facilitator). Bachelor's degrees in Statistics, Nursing, and Master of science in Mental Health.

Data Science Projects

  • Experience-Data Science Capstone Project-Customer Churn Modeling (Banking Sector) -Predicting Customer Churn using Machine Learning Algorithms Applying all learnt ideas to a classification problem (customer Churning)
  • Analyzing Video game Sales
  • Applying Linear , Lasso, Ridge Regression GradSearch and CV models to housing data
  • CatBoostClassifier application to a classification problem

References

  • Nicole Tha, nicole.tha@health.nsw.gov.au, +61 407 455 554
  • Esther Marembo, esther.marembo@utas.edu.au, +61 438 379 537
  • Earl Gomez, Adelbert.Gomez@health.nsw.gov.au, + 61 431 320 101

Timeline

Data Scientist/Analyst

Institute Of Data Sydney
02.2022 - 08.2022

Clinical Facilitator (Nursing)

University of Technology Sydney and University of Tasmania

Post Grad. Program : Data Engineering - Data Engineering

Purdue University

Professional Certificate in Data Science - Data Science

Institute Of Data -Australia

Master of Science : Mental Health -

University of Northampton

Bachelor of Nursing : Nursing -

University of Dundee

Bachelor of Arts : Statistics -

University of South Africa

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ELIJAH SABONDO