CST 349 - Week 5 Learning Journal

Part One: Support and Comment on Teammates' Goals

https://rrh-cst349.blogspot.com/2025/09/week-4.html?sc=1759766413145#c3682610505999987379

https://annies-cs-journey.blogspot.com/2025/09/week-4-my-csumb-journey.html?sc=1759766670451#c6148798155532794758


Part 2: Possible Capstone Ideas

Idea 1: Data Pipeline for Real-Time Analytics on Public Data

Description: Build an end-to-end engineering pipeline that ingests, cleans and processes real-time data (ex: stock market, or sports stats). Store the data in a structured format, then build an API for real-time analytics. 

Idea 2: Machine Learning-Data Cleaning Assistant

Description: Create a tool that detects and corrects anomalies, duplicates or missing values in datasets using both statistical rules and machine learning models. (Ex: applying clusters to detect outliers to fill missing values). Package the tool into a library or web interface. 

Idea 3: Graph Analytics Platform for Network Data

Description: Build a platform to analyze and visualize relationships in network data (ex: social network). Focus on graph algorithms and provide insights through visualizations and reports. 


Part 3: 

As this weeks' module wraps up, we have spent a week in the preparation for the future. As a team we have come up with ideas on a final project of what we want to enhance our learning on. As individuals we have thought about ideas on how we can grown our learning/ see what topics interest us for our capstone. Also have spent some time researching for internships/graduate programs. Personally I have always want to go to graduate school, therefore I spent more time looking into what graduate programs I would want to start applying to next year.  


Comments

  1. Hi Chanroop, these are great capstone project ideas. There is so much that can be done with data, so it would help to have a specific problem to solve, perhaps from a partner organization. The competitions on Kaggle provide some helpful examples of data science projects: https://www.kaggle.com/competitions

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