Reverie — Personal Music Journal
A Spotify-connected music journaling app that auto-tracks your listening, detects mood from audio features, and lets AI write your journal entry for the day.
Augustine Joy
Aspiring Data Scientist
Projects
A Spotify-connected music journaling app that auto-tracks your listening, detects mood from audio features, and lets AI write your journal entry for the day.
Upload any dataset and instantly receive AI-generated insights, visualizations, and summaries.

Statistical analysis of 550K+ Black Friday transactions using bootstrapping and confidence intervals to uncover how gender and age influence spending behavior.

About Me

This is my story — told alongside a few photos from moments I've captured along the way.

My curiosity for technology started early. I was always fascinated by computers and how intelligent systems could assist humans.
Watching Interstellar sparked a deeper interest in artificial intelligence and the idea that machines could help solve complex problems.
That curiosity eventually led me toward the world of data and AI.

I studied Computer Science with a specialization in Data Analytics at Vellore Institute of Technology.
During this time, I explored topics such as machine learning, statistics, and data systems, which helped me understand how data forms the foundation for intelligent technologies.
Later, I joined IBM, where I worked on enterprise systems supporting hundreds of users. Working in these large environments helped me understand how technology operates at scale and how solving system problems can have a real impact on organizations.

While working in enterprise systems, I realized something important.
I didn't just want to maintain systems — I wanted to build intelligent products.
That realization pushed me to deepen my knowledge of data systems, machine learning, and AI.

Today, I'm pursuing my Master's in Data Science at the University of Colorado Boulder.
Alongside my studies, I enjoy building projects that explore the intersection of data engineering and AI. Recently, I've been working on tools like a system that tracks credit card bills in one place using automated data pipelines.
I enjoy building practical systems like this that turn everyday problems into small engineering solutions.

Outside of technology, I enjoy photography, football, music, and cooking.
I like exploring new places, trying new food, and capturing moments with my camera. I also keep a bucket list of experiences I hope to pursue along the way.
Many of these moments become photos alongside this story.
Thanks for stopping by!
– Augustine

My curiosity for technology started early. I was always fascinated by computers and how intelligent systems could assist humans.
Watching Interstellar sparked a deeper interest in artificial intelligence and the idea that machines could help solve complex problems.
That curiosity eventually led me toward the world of data and AI.

While working in enterprise systems, I realized something important.
I didn't just want to maintain systems — I wanted to build intelligent products.
That realization pushed me to deepen my knowledge of data systems, machine learning, and AI.

Outside of technology, I enjoy photography, football, music, and cooking.
I like exploring new places, trying new food, and capturing moments with my camera. I also keep a bucket list of experiences I hope to pursue along the way.
Many of these moments become photos alongside this story.
Thanks for stopping by!
– Augustine
This is my story — told alongside a few photos from moments I've captured along the way.

I studied Computer Science with a specialization in Data Analytics at Vellore Institute of Technology.
During this time, I explored topics such as machine learning, statistics, and data systems, which helped me understand how data forms the foundation for intelligent technologies.
Later, I joined IBM, where I worked on enterprise systems supporting hundreds of users. Working in these large environments helped me understand how technology operates at scale and how solving system problems can have a real impact on organizations.

Today, I'm pursuing my Master's in Data Science at the University of Colorado Boulder.
Alongside my studies, I enjoy building projects that explore the intersection of data engineering and AI. Recently, I've been working on tools like a system that tracks credit card bills in one place using automated data pipelines.
I enjoy building practical systems like this that turn everyday problems into small engineering solutions.

Experience
SAP OpenText VIM Consultant (Finance and Tax Workflow)
Apr 2024 – Jun 2025 · Ahmedabad, India
Analyzed invoice validation failures across 8 SAP-integrated systems, identifying patterns to reduce resolution time. Resolved 10+ daily tickets while maintaining 100% SLA adherence through systematic issue tracking and prioritization. Optimized automated invoice processing workflows by identifying inefficiencies, earning client recognition for operational impact.
SAP MM Consultant
Jul 2022 – Mar 2024 · Pune, India
Provided application support for SAP MM module serving 500+ users, analyzing recurring issues to improve system reliability. Executed 20+ monthly enhancements and conducted data validation checks across production systems. Identified patterns in support tickets to prioritize fixes, earning client recognition for performance.
Education
M.S. in Data Science
Aug 2025 – May 2027 · Boulder, Colorado
B.Tech in Computer Science (Data Analytics)
Jul 2018 – May 2022 · Andhra Pradesh, India