Machine Learning Data Analyst

Juan De La Fuente

956-***-**** ● Mission, Texas ● *******@****.***

EDUCATION

Texas A&M University College Station, Texas

Bachelor of Science in Economics August 2020 - May 2024 College of Liberal Arts

Cum Laude Cumulative GPA: 3.70/4.00

PROFESSIONAL EXPERIENCE

AI & ML Postgraduate Program at The University of Texas at Austin Austin, Texas Student May 2024 – September 2024

● Designed and implemented data visualization techniques to craft compelling narratives and actionable business insights using Python libraries.

● Built and evaluated linear and non-linear machine learning models to identify patterns and optimize business performance metrics.

● Applied ensemble methods and hyperparameter tuning to enhance model accuracy and robustness, optimizing decision- making processes.

● Developed neural network architectures using advanced optimization techniques to solve real-world business challenges.

● Conducted hypothesis testing and statistical analyses to validate business decisions, ensuring data-driven reliability and precision.

Cita Marketplace Brooklyn, NY

Data Analyst Intern May 2024 – August 2024

● Conducted exploratory and predictive data analyses to optimize customer engagement, leading to a 20% increase in retention rates.

● Engineered SQL queries to extract and transform datasets, uncovering user behavior trends that informed strategic product decisions.

● Built interactive dashboards in Tableau to streamline KPI monitoring, enabling data-driven decision-making for cross- functional teams.

● Developed and maintained dashboards in Tableau to monitor real-time performance metrics, enabling efficient tracking of KPIs across marketing and product development teams.

● Deployed A/B testing frameworks to evaluate marketing campaigns, enhancing ROI by 15% through targeted optimization.

● Leveraged machine learning models to personalize user recommendations, driving a measurable uplift in sales and customer satisfaction.

Cubo Petroleo McAllen, Texas

Data Analyst Intern May 2023 – August 2023

● Applied advanced analytics techniques, including forecasting and simulation, to enhance operational efficiency and reduce costs.

● Designed and deployed big data pipelines on AWS and Hortonworks, reducing data processing times by 40% and enabling real-time analytics capabilities.

● Strategized and implemented an analytics roadmap tailored to the oil and gas sector, achieving measurable performance improvements.

● Increased operational efficiency by 25% through the implementation of advanced forecasting and simulation models to optimize production schedules.

● Developed a comprehensive analytics strategy for the oil and gas sector, resulting in a 15% improvement in key performance metrics across business units.

● Led the creation of machine learning models to predict equipment failures, improving asset reliability and reducing downtime by 20%.

SKILLS

• Statistics and Data Visualization: Descriptive, Statistical, Predictive Analytics, Seaborn, Matplotlib

• Deep Learning: Neural Networks, Computer Vision, Image Recognition, Natural Language Processing, Web Scraping, Tensorflow, Keras

• Machine Learning: Classification and Regression Algorithms, Statistical Inference, Exploratory Data Analysis, Clustering Techniques, PCA, Recommendation Systems, Hyperparameter Tuning, Feature Selection, Scikitlearn, Numpy, Pandas

• Database: SQL, Excel, Tableau, PowerBI, Apache Spark

• Other software/Tools: Jupyter Notebook, Google Collab, .Net, MVC4, WCF, Web Services, TFS, Visual Studio

Contact this candidate