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@emilmaynard
Senior Data Scientist specializing in machine learning and analytics.
United KingdomI am a Senior Data Scientist with extensive experience in developing and delivering analytical solutions that enhance financial services. My journey began with a strong academic foundation, earning an MSc in Data Science & Analytics from Brunel University, where I graduated with distinction. Over the years, I have honed my skills in programming languages such as R and Python, focusing on statistical analysis, machine learning, and data visualization.
In my recent role at Mitsubishi UFJ Financial Group, I led initiatives to improve financial crime reporting through advanced analytics, developing keyword matching scripts and statistical analyses that significantly enhanced the bank's investigative capabilities. My tenure at Deloitte allowed me to work with various banking clients, where I developed machine learning models for credit risk decisioning and sentiment analysis platforms that informed customer retention strategies. I am passionate about leveraging data to drive impactful business decisions and continuously seek opportunities to upskill and share knowledge with my colleagues.
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Work history, roles, and key accomplishments
Mitsubishi UFJ Financial Group
Sep 2023 - Present (2 years 2 months)
Led the development of analytics processes to enhance financial crime reporting. Created keyword matching scripts and statistical analyses to track anomalies in customer transaction activity, aiding in the identification of financial crime activities.
Deloitte
Jul 2019 - Aug 2023 (4 years 1 month)
Developed analytical solutions for banking clients, including a real-time sentiment analysis platform and credit risk classification models. Conducted training sessions on Python and AWS machine learning for colleagues.
Deutsche Bank
May 2018 - Jul 2019 (1 year 2 months)
Created dashboards and risk algorithms for financial crime reporting. Developed keyword match filters and dashboards to assess potential financial crime risks using Python, PySpark, and Tableau.
iGenie Consulting
Jul 2017 - Jul 2019 (2 years)
Worked on building analytical models for financial markets, including sentiment analyses and anomaly detection algorithms. Developed interactive dashboards for investor information using Microsoft Power BI.
Degrees, certifications, and relevant coursework
BUMaster of Science, Data Science & Analytics
2016 - 2017
Grade: Distinction
Completed a Master of Science in Data Science & Analytics with Distinction, focusing on advanced data analysis techniques, machine learning, and statistical modeling.
UIBachelor of Science, Management
2013 - 2016
Grade: 2:1
Earned a Bachelor of Science (Hons) in Management with concentrations in Finance, achieving a 2:1 grade, focusing on financial management and analytical skills.
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