Open to opportunities

Andrew Siqueira

@andrewsiqueira

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Data analytics professional with expertise in machine learning and AI.

Canada

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What I'm looking for

I am looking for opportunities that foster growth, innovation, and collaboration in data-driven environments.

I am a data analytics professional with a strong background in descriptive analysis, predictive analytics, machine learning, deep learning, and AI. My journey began with a Bachelor of Applied Science (Honors) in Applied Statistics from the University of Toronto, where I honed my skills in various relevant coursework, including Regression Analysis and Natural Language Processing. I am a keen learner and results-focused individual, thriving in teamwork environments while maintaining a self-starter mindset.

Currently, I work as a Data Scientist and Quantitative Analyst at Mitsubishi UFJ Financial Group, where I utilize machine learning and data analytics techniques to develop and maintain credit scorecard models. My previous experience as a Data Analyst at the Bank of Canada allowed me to execute research projects that improved operational efficiency and provided actionable insights during the pandemic. I have a proven track record of presenting findings effectively and creating visualization tools to communicate complex data insights.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist / Quantitative Analyst

Current

Mitsubishi UFJ Financial Group (MUFG) Bank

Jan 2021 - Present (4 years 5 months)

Currently working on developing and maintaining credit scorecard models using machine learning and data analytics techniques. Responsible for automating credit risk model production and validation, along with preparing documentation and presentations for stakeholders.

Machine Learning Data Analytics Python SAS SQL Risk Modeling Automation Documentation Presentation Skills

Data Analyst

Bank of Canada

Jan 2019 - Jan 2020 (1 year)

Analyzed operational efficiency and COVID-19 data to provide recommendations for workplace policies. Developed visualization tools in Power BI and created reports using R, Python, and SQL to depict trends and productivity.

Data Analysis COVID 19 Analysis Power BI R Python SQL Data Visualization Reporting

Research Assistant / Machine Learning Projects

University of Toronto

Aug 2017 - Sep 2019 (2 years 1 month)

Applied statistical and machine learning techniques to forecast datasets and perform sentiment analysis. Focused on feature engineering, model training, and evaluation using various Python libraries.

Machine Learning Python R SQL Natural Language Processing Model Evaluation

Quantitative Analyst

Algo Trade (UTM Society of Algorithmic Modelling), Universit

Oct 2016 - Jan 2018 (1 year 3 months)

Collaborated on building an automated stock trading algorithm using R and Python. Developed an LSTM model to predict stock prices with a success rate exceeding 50%.

Algorithm Development R Python Trading Team Collaboration

Education

Degrees, certifications, and relevant coursework

University of Toronto

Bachelor of Applied Science, Applied Statistics

2017 - 2019

Activities and societies: RCM Trained professional violinist. Avid sports participant including Tennis, Hockey, and Soccer. Keen interests in world cultures, finance, and health research.

Bachelor of Applied Science (Honors) Major in Applied Statistics, Minor in Economics and Mathematics/CS. Relevant coursework included Regression Analysis, Machine Learning, Financial Economics, and Data Structures and Analysis.