Welcome to my Portfolio!

My name is

Hannah Pham.

Hi, I’m a passionate Data Analyst and aspiring Data Scientist with a strong foundation in data-driven problem solving and a keen interest in leveraging machine learning to drive impactful business decisions. Through my projects and professional roles, I’ve honed my skills in data analysis, predictive modeling, and process optimization while consistently delivering insights that improve operational efficiency, optimize category performance, and enhance stakeholder decision-making. My technical toolkit includes Python, SQL, Excel and Tableau, paired with a solid understanding of machine learning algorithms and cloud technologies (GCP,AWS).
Explore my portfolio to see how I combine analytics and innovation to solve complex problems. Let’s connect and collaborate to shape data-driven solutions for the future!

1. About me

I am a data-driven professional with 4 years of experience and a proven track record of optimizing processes, improving decision-making, and delivering actionable insights across retail, merchandising, and operational spaces. Leveraging my expertise in tools like Excel, SQL, and Tableau, I analyze complex datasets to uncover trends and opportunities that enhance operation efficiency, reduce costs, and drive business growth. I am looking for new opportunities in data science, operations analytics, retail analytics.
With a technical foundation in Python, machine learning, and database management, I’m passionate about transitioning into roles that bridge analytics with innovation, such as Data Scientist or Machine Learning Engineer. My technical toolkit includes Python for predictive modeling, SQL for robust database queries, and Tableau for clear, impactful visualization. I’ve worked on projects involving natural language processing, classification models, and advanced forecasting, blending cutting-edge technology with business insights.
I thrive in dynamic environments that value problem-solving, teamwork, and innovation. Whether it's analyzing sales data to optimize pricing, identifying operational inefficiencies, or leveraging AI to improve decision-making, I bring curiosity, precision, and a growth mindset to every challenge.
I am proficient in Python, Java and C. I am also familiar with FlaskAPI, MySQL, Docker and GCP services like Google AppEngine, Firestore NoSQL database, or Google Cloud Build. About my education background, I hold an MSc in Computer Science with a focus on Software Engineering from the University of Texas at San Antonio. Before that, I earned my Bachelor’s degree in Computer Science from the Catholic University of America in Washington, D.C. in 2018

Technical skills:

  • Programming: Java, Python, C, HTML, CSS, JavaScript
  • Frameworks and Tools: Flask, PyTest, Junit, Bootstrap, Postman, Docker, Git, GitHub, GitHub Actions
  • API & Integration: REST, YAML, XML, JSON
  • Cloud & Deployment: GCP (IAM, AppEngine, Compute Engine)
  • Databases: MySQL, NoSQL (GCP Firestore)
  • Data Science Tools: TensorFlow, scikit-learn, PyTorch, NumPy, Pandas, Matplotlib, Seaborn, OpenCV
  • Data Analysis & Visualization: Tableau, Advanced Excel (Pivot Tables, VLOOKUP), Data Cleansing, Dashboard Reporting

2. Selected ML/DL Projects

breast-cancer

Breast Cancer Diagnosis Web App

A Flask-based web application that utilizes machine learning models to assist in the prediction of breast cancer risk based on user-provided mammogram data. It integrates multiple ML algorithms and provides a comparative analysis of predictions to aid in educational and research purposes.

autonomous-car

Autonomously Lane-Following Car

Remote-Control Car which is enabled to autonomously lane-lollow using End-to-End Neural Networks. The car enters the stopped state when either a stop sign is detected (using a Haar classifier and monocular vision) or an ultrasonic sensor indicates the presence of an obstacle.

3. Selected Flask Web/API Projects

grocery-api

Grocery Items REST API

A RESTful API built by Flask for storing and retrieving grocery products from a theoretical online grocery store.

WebWeather

WebWeather

A Flask web application for weather forecast hosted by Google AppEngine and authenticated with Google Firestore for statistics.

4. What's next?

@Developers: Interested in collaborating? Wanna know more what else I have been working on? Feel free to check out my GitHub account!
@Recruiters: Feel free to reach out to me about relevant job opportunities through my LinkedIn!