Hi, I'm Serene Plummer

// Software Engineer | AI & Machine Learning Focus

Early-career software engineer focused on machine learning and data engineering, with experience in Python, SQL, and foundational ML concepts.

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Serene Plummer

Software Engineer

From data to intelligent software

About Me

Software engineering with a curious mind and an adventurous spirit

Serene Plummer - About

Transforming Data into Insights

I’m Serene, an early-career software engineer with a background in Python, SQL, and machine learning. I love taking on complex problems, exploring data, and building predictive models that lead to smarter decisions. Along the way, I’ve gained hands-on experience in data visualization, ETL pipelines, and full-stack development, which gives me a well-rounded approach to solving data challenges.

Originally from Seattle, the outdoors has always felt like home to me. Whether I’m hiking mountain trails, snowboarding fresh powder, or traveling to breathtaking places like Colorado or upstate New York, I find my energy in nature and the adventure of new landscapes.

I’m always learning—through certifications, projects, and real-world applications—and I’m driven by the idea of using data science to make a real impact while continuing to grow both professionally and personally.

15+
Projects Completed
13+
Certifications
3+
Years Experience

Skills & Technologies

Here are the technologies and tools I work with

Python Python
JavaScript JavaScript
SQL SQL
HTML HTML/CSS
Pandas Pandas
NumPy NumPy
TensorFlow TensorFlow
PyTorch PyTorch
Matplotlib Matplotlib
Plotly Plotly
Tableau Tableau
Git Git
GitHub
VS Code
Excel Excel
Figma Figma
React React
MongoDB MongoDB
MySQL MySQL
Scikit-learn Machine Learning
Matplotlib Data Analysis
Data Visualization
Python Python
JavaScript JavaScript
SQL SQL
HTML HTML/CSS
Pandas Pandas
NumPy NumPy
Scikit-learn Scikit-learn
TensorFlow TensorFlow
PyTorch PyTorch
Matplotlib Matplotlib
Plotly Plotly
Git Git
GitHub
VS Code
Excel Excel
Figma Figma
React React
MongoDB MongoDB
MySQL MySQL
Scikit-learn Machine Learning
Matplotlib Data Analysis
Pandas Statistical Modeling
Data Visualization

Programming Languages

Python
85%
SQL
75%
C++
70%
HTML/CSS
80%
JavaScript
65%

Data Science & ML

Pandas & NumPy
90%
Scikit-learn
80%
Matplotlib/Seaborn
85%
TensorFlow
60%
Requests
75%

Tools & Frameworks

Git & GitHub
80%
Dash & FastAPI
70%
Docker
55%
ETL Processes
75%

Soft Skills

Communication
90%
Problem Solving
85%
Team Collaboration
80%
Critical Thinking
85%
Adaptability
80%

Work Experience

Summer 2026

Software Engineering Internship

Fidelity

Joining Fidelity as a Software Engineering Intern to contribute to production-quality software and data-driven features. I'll collaborate with cross-functional teams to implement reliable services, integrate data pipelines and models, and deliver clean, testable code that supports business objectives.

  • Additional details coming soon.
Spring 2026

Data & Insights Internship

CommonPoint

  • Additional details coming soon.
Aug 2025 - Present

STEM Instructor

iCode

Teaching and mentoring students in Science, Technology, Engineering, and Mathematics (STEM) concepts. Delivering engaging lessons using provided curriculum to help students build their technical skills, critical thinking, and problem-solving abilities.

  • Instruct students in various STEM subjects including programming, robotics, and mathematics
  • Adapt teaching methods to meet diverse student learning needs
  • Mentor students in project-based learning and hands-on STEM activities
  • Guide students through structured STEM curriculum and activities

Featured Projects

A showcase of my data science and development work

Stock Price Prediction

AAPL Stock Price Prediction

Machine learning model to predict stock prices using historical data and technical indicators. Implemented using Python, Pandas, and Scikit-learn.

Python Pandas Scikit-learn Matplotlib
Code
California Housing Price Prediction

California Housing Price Prediction

A machine learning project that predicts California housing prices using NumPy and Pandas. Built in Jupyter Notebook, it demonstrates data cleaning, feature exploration, and linear regression for cost prediction.

Python Jupyter NumPy Scikit-learn Matplotlib
Code
COVID-19 Data Analysis

COVID-19 Data Analysis

Exploratory data analysis of COVID-19 trends and patterns using Python. Features interactive visualizations and statistical insights.

Python Pandas Plotly Statistics
Code
GenAI Chatbots Project

GenAI Chatbots Project

Development of AI-powered chatbots using generative AI technologies. Explores natural language processing and conversational AI.

Python NLP AI/ML APIs OpenAI LLM Applications
Code
Applied Data Science Capstone: Predicting Falcon 9 Landings

Applied Data Science Capstone: Predicting Falcon 9 Landings

Final IBM Data Science Professional Certificate project. Built predictive models, visual analytics, and interactive dashboards to determine whether SpaceX Falcon 9 first stages will land successfully.

Python Machine Learning Data Visualization Model Deployment
Code
Medical Appointment Booking

Medical Appointment Booking

A web application that allows users to schedule and manage medical appointments efficiently, featuring form validation, dynamic routing, and a responsive interface.

JavaScript React Node.js HTML CSS
Code

Let's Work Together

Ready to turn your data into actionable insights? Let's connect!

Get In Touch

I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat about data science, feel free to reach out!