Turning data into a competitive advantage
Hi! I'm Daniel.
Driven by the transformative power of data, I'm currently pursuing a Master's in Data Science at the University of Calgary, leveraging my background in economics and business administration.
My journey is anchored in a rich professional background in finance and commodity trading, where I honed my expertise in financial analysis and operations. This blend of academic rigor and real-world experience fuels my drive to turn complex datasets into clear, actionable insights that drive decision-making and operational efficiency.
Through my proficiency in programming and quantitative analysis, I've helped companies navigate through the complexities of financial reporting, cash management, and risk assessment, transforming data into strategic assets that foster innovation and growth.
When I'm not tackling data, I'm training for races! I'm a dedicated runner and triathlete with a 3:03 marathon PR and a 12:42 Ironman 140.6 finish time. See you on the race course!
I bridge the gap between raw data and actionable knowledge. By leveraging my expertise in machine learning and data visualization, I help businesses unlock valuable insights that drive better results, informed decisions, and cost savings.
My technical toolkit includes SQL, R, Python, VBA, Power BI, Tableau, Azure Databricks, and Apache Spark, allowing me to tackle a wide range of data projects.
Defining the problem, considering potential benefits, and determining the project's scope.
Collect, explore, and understand the available data to identify quality issues, discover first insights into the data, or detect interesting subsets for formulating hypotheses.
Cleaning the data and transforming it into a format suitable for analysis.
Build and train machine learning and statistical models, assess their effectiveness, and tune them to optimize prediction performance.
Effectively communicating insights to make complex data more understandable.
Expertise in financial analysis, operations, and process optimization.
Here are some highlights of my recent projects
Can Machines Outsmart the Market? Machine Learning in Option Pricing
Dive into the world of data with our interactive coffee shop simulation!
Analysis of various options hedging strategies using Greek parameters to mitigate risk in options trading positions
Optimizing coffee production systems using genetic algorithms for increased profitability
A statistical approach to body fat assessment with circumference measurements
Chi-square and proportion tests to explore how gender and academic year influence anxiety in Canadian undergraduate
Deep Learning for plant disease detection: leveraging CNN architectures to identify corn leaf diseases
Transforming coffee farming with a web application that turns detailed field data into actionable insights for increased efficiency and profitability
Reinforcement Learning vs. Markowitz: a comparative analysis of portfolio allocation strategies