Chris Servin

Miami Waterkeeper - Data Engineering Intern

• Developed ETL pipelines to migrate data from Excel to Azure and Looker.
• Created visualizations of bacteria heatmap in Looker and Python (Matplotlib).
• Preprocessed SQL data, optimizing datetime and geolocation handling.
• Worked in an Agile framework to manage tasks effectively.

AmeriCorps Member (Aug 2021 - Aug 2022)

• Facilitated learning for underprivileged students through academic support.
• Encouraged healthy habits with physical activities and nutritious snacks.
• Tracked student progress and reported areas for improvement to parents.

Housing Price Predictor

Predicts housing prices based on zip code using machine learning.

Technologies Used:

• TensorFlow
• NumPy
• Seaborn
• Plotly

Concepts:

• Data Preprocessing
• Machine Learning
• Visualization

Stock Market Simulator

Simulates a stock market order book using real-time data.

Technologies Used:

• C++
• Redis
• Kafka
• StreamLit

Concepts:

• Real-time Data
• Parallel Processing
• Visualization

Book Recommender

Recommends books based on NLP analysis of user preferences.

Technologies Used:

• Python
• HuggingFace
• LangChain
• Gradio

Concepts:

• Natural Language Processing
• Recommendation Systems
• Data Analysis