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apburton84/README.md

Hey, I'm Anthony ๐Ÿ‘‹


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๐Ÿ”ง Solution orientated, pragmatic and delivery focussed Data Scientist.

โค๏ธ Passionate about Statistical Modelling, Machine Learning and Data Engineering.

๐Ÿงฎ Pursuing data science and machine learning roles in the FinTech, EdTech and Health Care sectors.

Data Sorcerer ๐Ÿง™โ€โ™‚๏ธ ~ Let's make data magic! โœจ

  • ๐Ÿ”ญ Iโ€™m currently working as a
    • Lead Data Scientist @EG ~ on a mission to transform the world of commercial real estate.
  • Previously
    • Data Scientist @payzilch as a member of the Data & Risk team.
  • ๐ŸŒฑ Iโ€™m currently interested in ...
    • All things data: Big Data, Cloud, Machine Learning and Data Science
    • Music Instruments: MPC, Octatrack & SP-404
    • Sport Statistics | Shout out to @FiveThirtyEight
    • ๐Ÿง—โ€โ™‚๏ธ Rock climbing, ๐Ÿ›น Roller Blading & Squash ๐ŸŽพ
  • โšก Fun fact: The CIA headquarters has its own Starbucks, but baristas donโ€™t write names on the cups

Things I've done and do...

  • Led a team of data scientists, overseeing their professional development, project assignments, and performance evaluations.
  • Developed and implemented the data science strategy, aligning it with business goals and objectives in the commercial property industry.
  • Managed end-to-end execution of data science projects, ensuring adherence to timelines, budgets, and quality standards.
  • Collaborated with cross-functional teams to identify data-driven opportunities, understand requirements, and align initiatives with business needs.
  • Applied advanced analytics techniques, including machine learning, statistical modelling, and predictive analytics, to extract insights from complex data sets.
  • Presented data-driven insights and recommendations to senior management and stakeholders, influencing strategic decision-making and business outcomes.
  • Fostered a culture of innovation and continuous learning within the team, organizing knowledge-sharing sessions and encouraging professional growth.

๐Ÿ› ๏ธ Technologies


Statistics & Machine Learning Linear Regression, Logistic Regression, K-means, SVM, PCA, Naive, Bayesian

Data Tools

Pandas, Numpy, SciPy, SciKit Learn, Ipython, Conda, Juypter Lab

Visualisation

Looker, Redash, Matplotlib, Seaborn, Kibana

Code

Python, Rust, Ruby, PHP

Frameworks

Pyramid, Flask, FastApi, Django

Databases

MySQL, MSSQL, Postgres, Redis, MongoDB, Elastic Search, RDS, Redshift

Cloud

AWS, Digital Ocean

Misc.

BDD, TDD, CI/CD, ETL, Data Pipelines, Kimbel, Open API, PEP-8

๐Ÿ”ฎ Read my thoughts


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