MLops Engineer, open source contributor and AWS Community Builder.Keen interest in the Cloud, building ML pipelines, Graph DB, MLOps and the all things AWS.
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neo4j-intermediate-cypher-ds
September 4, 2022 – September 11, 2022
neo4j-intermediate-cypher-ds — repository
View ProjectAWS-VPC
June 4, 2022 – August 22, 2022
Short project to illustrate the various AWS VPC related components/services available
View ProjectAWS-ETL-Workflows
April 2, 2022 – August 31, 2022
Examples of architectures using a number of database, compute and etl services in AWS
View ProjectAWS-ML-services
March 14, 2022 – August 26, 2022
Practical use of a number of AWS automl services
View Projectdatabricks_spark_certification
January 12, 2022 – May 2, 2022
Prep for the databricks spark 3 certification
View Projecttensorflow-dev-certification-practice
January 12, 2021 – June 3, 2024
this repo contains scripts built in pycharm from coursera course in prep for the google tensorflow dev certification exam
View ProjectAWS-Sagemaker
June 11, 2020 – January 6, 2025
Trying out different AWS Services as practical prep for the AWS ML Certification
View ProjectHuman-Resource-Analytics
March 27, 2017 – April 3, 2017
Predicting if the best and most experienced employees leave prematurely - Kaggle Human Resource Analytics dataset using SVM and Multi Layer Perceptron with backpropagation
View ProjectGeographically-Weighted-Regression-and-Clustering
January 3, 2017 – March 27, 2017
GIS project - Use of geographically weighted regression and k-means clustering in R to investigate patterns of wellbeing in London in 2011. Includes use of shapefiles, spatial data frames and output layers for the Office for National Statistics
View ProjectHouse-Prices-Advanced-Regression
December 14, 2016 – March 27, 2017
Regression modelling (Lasso, Ridge, xgboost, SVR) and exploratory analysis of Ames, Iowa dataset. Also contains exploratory analysis of London House prices in Tableau
View ProjectCultural Fit Analysis
The candidate's projects show a strong individual drive for learning and skill development, particularly in data science and cloud technologies. The diversity of projects, from HR analytics to GIS and AWS services, indicates a broad interest in applying data science techniques across different domains. However, without information on team projects or professional experience, it's difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.