/* I analyze surveys, reviews, and feedback to turn customer responses into clear qualitative and quantitative insights that employers can use. */
🟢 Open to work
Currently an Extern @Breaking GamesPortfolio projects that show survey analysis, review mining, and mixed-methods insight synthesis, focused on practical findings for product and marketing decisions. As well as personal coding projects
✅ Verified by Extern
A Beats by Dre externship in data analytics focused on extracting qualitative and quantitative consumer insights from surveys, reviews, and other customer feedback sources.
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Developed an application that converts MP3 audio files into editable lyric transcripts using speech recognition technologies; built backend processing workflows in Python for audio analysis and text generation; designed functionality allowing users to edit, organize, and export generated transcripti
Developed a Python-based application that analyzed symptom datasets to predict possible illnesses; built and managed an SQLite database connecting symptoms, conditions, and treatment data; implemented weighted analytical logic to calculate confidence percentages across overlapping conditions; design
I analyze surveys, reviews, and feedback to turn customer responses into clear qualitative and quantitative insights that employers can use.
I hold aB.S. degree in Computational Science. I am building practical data analytics experience through project work. I focus on combining survey, review, and customer feedback analysis to extract actionable qualitative and quantitative insights that strengthen my resume and readiness for internships or entry roles.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
HEAD CAMP COUNSELOR (SEASONAL)
Teaneck Sports and Arts Camp · Summer 2022 – Present
Developer
LYRIKS – AI LYRIC TRANSCRIPTION APPLICATION · Apr 2026 - Sep 2026
Extern
BEATS BY DRE DATA ANALYTICS: QUALITATIVE & QUANTITATIVE INSIGHTS · Jan 2026 – Apr 2026
SERVICE ASSOCIATE
Mighty Quinn’s BBQ · Mar 2022 – May 2025
Python Developer
DIAGNOSIFY – SYMPTOM CHECKER APPLICATION · Feb 2025 – May 2025
RESEARCH ASSISTANT (UNDERGRAD)
Kean University · Jan 2022 – May 2022
Education
KEAN UNIVERSITY
Bachelor of Science in Computational Science and Engineering · Class of 2025
Skills
✅ Verified by Extern
A Beats by Dre externship in data analytics focused on extracting qualitative and quantitative consumer insights from surveys, reviews, and other customer feedback sources.
The work consolidated survey responses, product reviews, and competitor notes to produce structured consumer insights for a wireless audio product. Deliverables included a pain-point dataset, an AIDA-based customer journey map with behavioral and emotional notes, quantitative charts and segmenting, method notes for sentiment analysis, and a slide deck with product and audience recommendations.
I synthesized qualitative and quantitative feedback into a set of artifacts: a JSON radar of pain points with cluster notes, an AIDA customer journey with behavioral and emotional annotations, cleaned survey analyses and charts, documented sentiment-analysis methods, and a slide deck with product and audience recommendations.
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six raw CSV exports into a structured analytics database and a set of verified SQL artifacts. Work mapped source files, designed a staging and analytical schema, populated a SQLite database, and produced cleaned tables and queries for a Q4 analytics dashboard.
I collected and catalogued the six CSVs, documented schemas and analytic potential, set up a staging schema, loaded cleaned tables into SQLite, and validated queries against the populated database.
Personal Project · Sep 2026
Developed an application that converts MP3 audio files into editable lyric transcripts using speech recognition technologies; built backend processing workflows in Python for audio analysis and text generation; designed functionality allowing users to edit, organize, and export generated transcripti
Developed an application that converts MP3 audio files into editable lyric transcripts using speech recognition technologies; built backend processing workflows in Python for audio analysis and text generation; designed functionality allowing users to edit, organize, and export generated transcription data as PDFs; utilized Git/GitHub for version control and collaborative development.
Developed a Python-based application that analyzed symptom datasets to predict possible illnesses; built and managed an SQLite database connecting symptoms, conditions, and treatment data; implemented weighted analytical logic to calculate confidence percentages across overlapping conditions; design
