Yanelly Hernandez

Toolkit that includes Data Analytics & Databases, Programming & Data Engineering, Machine Learning & AI: SQL (DBeaver, PostgreSQL, MySQL, SSRS, SSIS), Google Cloud (BigQuery, Cloud Storage), Tableau, Microsoft Office (Excel, Word, PowerPoint, Outlook, Teams), Python (Pandas, NumPy, SciPy, Seaborn, Matplotlib, PySpark), R, MATLAB, APIs, Data Pipelines, Streamlit, Scikit-Learn, TensorFlow, Keras, PyTorch, NLP (Text Classification, Spam Detection), AI Image Recognition, LLMs.

I have a background in Applied Mathematics, Data Science and Analytics with a strong track record of using data to drive strategic decisions and solve complex business problems.

I’m passionate about leveraging data to drive informed decisions and build innovative solutions. I hold a Bachelor’s degree in Applied Mathematical Sciences, where I developed a strong foundation in statistics, probability, numerical methods, and computational techniques—skills that connect mathematics to real-world impact.

My interest in data analytics began during my undergraduate studies and grew through hands-on projects and advanced coursework. I further gained my skills by earning a Data Science Professional Certificate from LearningFuze, where I deepened my understanding of machine learning, data visualization, and predictive modeling.

Outside of formal education, I’ve completed a range of independent data science and machine learning projects, including predictive modeling, image retrieval systems, and interactive data applications, that demonstrate my ability to apply theory to practice. I thrive on solving complex problems and translating data into actionable insights.