Anna Mackenzie
About Anna Mackenzie
Anna Mackenzie is a Data Scientist with a strong background in engineering and data science. She has worked at various prestigious organizations, including J.P. Morgan and General Assembly, and currently employs advanced statistical methods at Arca Blanca.
Current Role at Arca Blanca
Anna Mackenzie has been working at Arca Blanca as a Data Scientist since 2020. In her role, she develops and delivers bespoke technical solutions that incorporate advanced statistical methods. Her responsibilities include overseeing the entire lifecycle of technical solutions, from initial conception to client interpretable presentation and delivery. She engages in data ETL processes, model building, testing, and deployment, ensuring that the solutions meet client needs and expectations.
Previous Experience at General Assembly
Prior to her current position, Anna Mackenzie worked at General Assembly as a Data Science Immersive instructor from 2019 to 2020 for four months. In this role, she contributed to the education and training of aspiring data scientists, sharing her expertise in data analysis and statistical methods. This experience helped her refine her teaching skills and deepen her understanding of data science concepts.
Professional Background in Finance and Engineering
Anna Mackenzie has a diverse professional background that includes significant roles in finance and engineering. She worked at J.P. Morgan as an Investment Banking Analyst focusing on UK Industrials from 2018 to 2019. Prior to that, she held the position of Investment Banking Summer Analyst at J.P. Morgan in 2016. Additionally, she gained engineering experience as an intern at Malishev Wilson Engineers LLP and Meggitt in 2012, and as a Maths and Engineering Tutor at Oxford Royale Academy in 2017.
Educational Qualifications
Anna Mackenzie studied at the University of Oxford, where she earned a degree in Engineering Science with Honours from 2013 to 2017. She also attended Uppingham School, achieving five A* grades at A-Level in subjects including Physics, Chemistry, Maths, Further Maths, and French from 2008 to 2013. Furthermore, she completed a Data Science Immersive program at General Assembly from 2019 to 2020, enhancing her skills in data science.
Technical Skills and Expertise
Anna Mackenzie possesses a strong technical skill set in data science and engineering. She specializes in advanced statistical methods such as Bayesian Modelling, Causal Inference, Deep Learning, time series analysis, and Natural Language Processing. Her expertise enables her to develop effective technical solutions that address complex data challenges, making her a valuable asset in her field.