Bachelor of Science in Computer Science
Northwest Missouri State University, Maryville, MO
GPA: 3.8/4.0
August 2019 – May 2023
Relevant coursework: Statistics, Data Structures, Predictive Analysis, Machine Learning and Regression Techniques, Data Visualization, Database Management Systems, Network Fundamentals, Software Engineering, Mobile Development (IOS), Data Mining, and Engineering.

Northwest Missouri State University, Maryville, MO || January 2021 - August 2021

• Tutored students in various courses including Python Programming, Java Programming, Web Development, etc.
• Initiated, developed, and maintained strong relationships with students to empower them in their learning.
• Facilitated independent student learning through questioning techniques.
• Followed established guidelines for basic tutorial sessions.

Freelance || August 2021 - Present

• Collaborated with a retail client to analyze sales and customer data, resulting in a 12% increase in revenue through targeted marketing strategies.
• Developed and fine-tuned predictive models using algorithms, improving over 12% baseline for insights into GDP and growth patterns.
• Conducted A/B testing and analyzed the impact of ML algorithms on customer ticket purchasing patterns.
• Contributed to developing ML software systems and frameworks for model deployment and monitoring.
• Developed automated reporting and measurement tools, enhancing data-driven decision-making capabilities.
• Implemented advanced data science techniques, leading to a 40% improvement in predictive analytics using Decision Trees, Random Forest, K-means clustering, Neural Networks, etc.
• Utilized TensorFlow, sci-kit-learn, and other quantitative methods to build and evaluate machine learning models.

• Completed a job simulation focusing on Artificial Intelligence for Cognizant’s Data Science team.
• Conducted exploratory data analysis for Gala Groceries, one of Cognizant’s technology-led clients.
• Prepared a Python module containing code to train a model and output performance metrics for the Machine Learning engineering team.
• Communicated findings and analysis in the form of a PowerPoint slide to present the results back to the business. Go to the project

• Completed a job simulation in association with British Airways on data science as a critical component of their success.
• Scraped and analyzed customer review data to uncover findings.
• Built a predictive model with an accuracy of 92%, allowing stakeholders to understand factors influencing customer buying behavior.
  Go to the project

• Languages: Python, R, SQL, JavaScript, HTML/CSS.
• Technology: Jupyter, Power BI, SAS, Visual Studio Code, WordPress, Git, Docker, Firebase, D3, MATLAB, Spark, Kubernetes, Jira, MLflow, Pipefy, Tableau, Microsoft Azure, Microsoft Excel, Microsoft Access.
• Libraries: Pandas, NumPy, Matplotlib, sci-kit-learn, sk-learn, PyTorch, SciPy, TensorFlow.

• Microsoft Certified: Azure Data Scientist (In progress)

• AWS Cloud Practitioner Essentials (In progress)

• British Airways Data Science Job Simulation on Forage Complete

• Cognizant Artificial Intelligence Job Simulation on Forage Complete