Boomi - Amazon - Highmark Inc - Carnegie Mellon Alumnus Innovation - Design - Machine Learning - Products and Services
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Amazon | Carnegie Mellon University
Data Scientist
June 19, 2026 – Present
AI-pulse
February 16, 2026 – Present
AI news is scattered across six platforms. AI Pulse pulls it all into one dashboard — trending repos, new models (chat, image, video, code), research papers, tools, community discussions, and curated influencers. Auto-refreshes daily, ranks by hype, and gives you a TLDR Top 5. One Python script, zero doomscrolling.
View ProjectSQL-Forge
January 27, 2026 – Present
Build your own SQL practice- Stratascratch/Leetcode style editor
View ProjectRAG
January 24, 2026 – Present
End to end pipeline to build a RAG for custom Health care data
View Projectbiographer
December 13, 2025 – December 13, 2025
Think about Wikipedia but more visual, crisp and no fluff
View ProjectLinkedIn-Data-job-tracker
November 28, 2025 – November 29, 2025
Data analytics dashboard built with Streamlit and Plotly - featuring interactive visualizations, filtering, and insights from LinkedIn job postings dataset (37K+ records)
View ProjectGHC-mental-health
October 8, 2024 – October 10, 2024
GHC-mental-health — GitHub repository
View Projectcausal-reasoning
February 14, 2024 – November 12, 2024
causal-reasoning — GitHub repository
View ProjectContent-Analysis
March 18, 2018 – July 7, 2018
Python project for content analysis - combining compound words, noise removal and normalizing data.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering areas like AI news aggregation, mental health data, causal reasoning, SQL practice tools, content analysis, RAG systems, and data job tracking. This breadth suggests an inquisitive mind and a willingness to explore different domains within data science. The focus on personal projects indicates a strong drive and initiative, which aligns well with a culture that values self-starters. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural integration. The target role is 'Data Scientist', and the projects align well with the technical requirements of such a role, particularly in machine learning, data analysis, and data engineering aspects.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, evidenced by numerous personal projects. The 'AI-pulse' project suggests an interest in staying current with industry trends and a capability for data aggregation and summarization. The 'LinkedIn-Data-job-tracker' project shows an ability to build practical tools for data insights. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.