Jack Deere

Background

About Jack Deere

What is Data Science: Data science is the field that uses data to gain insights, solve problems, and support decision-making by applying statistical methods, algorithms, and machine learning. It involves collecting, cleaning, and analyzing data to uncover patterns and trends that can drive business or research improvements. What can I do for you: I transform your data into tangible, realistic methods to help optimize your company which could save you time, money, and resources, as well as help advance high-level research topics. I can properly identify and record missing data that I need to make my analysis meaningful and effective. I can then filter and transform the data to make it usable for analysis. Using statistical methods like multiple MLR and ML algorithms, I can uncover insightful trends and patterns that drive informed decision-making. Whether it's identifying what matters most to homebuyers or pinpointing key behavioral markers of autism and other developmental disorders in children, I translate your raw data into actionable strategies. I’m a passionate Data Scientist with a B.S. in Data Science, focusing on Neuroscience from Colorado State University. My expertise lies in applying machine learning, data manipulation, and statistical analysis to solve complex problems. I've worked on impactful projects, such as predicting housing prices with a 3% margin of error and using machine learning techniques for autism diagnosis, consistently transforming raw data into actionable insights. Throughout my degree, I developed a strong foundation in data cleaning, transformation, and building predictive models using tools like Python and R. I applied methods such as MLR, Ridge, and Lasso, and gained experience with machine learning models including Decision Trees, SVM, Random Forest, and Gradient Boosting. Optimizing model performance through cross-validation and hyperparameter tuning has been a key focus in my work. In addition, I have expertise in applied statistics, hypothesis testing, regression analysis, and optimization techniques. I am skilled in communicating insights through data visualization, using tools like ggplot2 and matplotlib to craft compelling narratives from data. My hands-on projects, including prediction models for housing prices and autism diagnosis, have allowed me to apply these advanced techniques to real-world problems. I’m always eager to use my skills in data science to drive innovation and tackle new challenges. Let’s connect if you're interested in collaborating on turning data into powerful, impactful solutions.