Offer development
Shaping what a product or service offers so it matches what people actually want.
Open to internships · BAIT, Class of 2029
Advay Gahlot
Rooted in business, growing toward management, leadership, real estate and lasting impact.
I'm a sophomore at Rutgers University studying Business Analytics and Information Technology (BAIT). I'm building toward a corporate career in management — and, in the long run, real estate investing.
Business AnalyticsInformation TechnologyManagementOffer DevelopmentReal EstateSustainability
Rutgers UniversityClass of 2029
BAIT majorSophomore
About me
A business student who thinks long-term.
I study Business Analytics and Information Technology (BAIT) at Rutgers University — a major that pairs business fundamentals with data and the technology companies run on.
I entered Rutgers at 17 after graduating from high school early, an experience that taught me to adapt quickly and take responsibility for my goals. I'm working toward a corporate career focused on management, with a long-term interest in real estate investing — and I care about making choices that last.
- Studying
- Business Analytics & IT (BAIT)
- Year
- Sophomore · Class of 2029
- Career focus
- Corporate management
- Long term
- Real estate investing
At a glance
1,400+
Discord servers using the music bot I helped grow
Top 25
Music Discord bots worldwide
17
Age I started at Rutgers, after graduating high school early
2029
Graduating class — BAIT, Rutgers University
What I bring
Skills I'm cultivating.
The foundation for leading teams and making good decisions.
Communication & teamwork
Explaining ideas clearly and working well with others toward a shared goal.
Research & data analysis
Finding reliable information and using data to back up decisions.
Organization & time
Balancing a full course load, projects and goals — and following through.
What drives me
Good business doesn't just grow — it lasts. I want to lead teams that make smart, responsible decisions, and one day invest in places where people live and work well.
From the collection
Featured specimens.
My own work plus collaborations with Nextentra. See all projects
Specimen No. 01
Music Discord Bot
A music-focused Discord bot that now serves more than 1,400 servers and has grown into one of the top 25 music bots worldwide.
My project · My role: Product, community & growth
- Discord
- Community growth
- User feedback
Specimen No. 01 · My project
Music Discord Bot
A music-focused Discord bot that now serves more than 1,400 servers and has grown into one of the top 25 music bots worldwide.
My project · My role: Product, community & growth
The soil
Discord communities want an easy, reliable way to listen to music together.
What was planted
I ran the bot as a product: I set feature priorities from what server owners and members asked for, supported the community and grew its reach one server at a time.
What grew
Now serves 1,400+ servers and ranks among the top 25 music bots worldwide.
What I learned
Hands-on experience with technology, digital communities, growth, and understanding what users want from an online service.
Specimen No. 02
Crypto Sniper
A real-time token detection system — a Python pipeline that detects, scores and alerts on newly launched crypto tokens.
Built by Nextentra · My role: Market research & alert testing
- Python
- Data pipeline
- Scoring & alerts
Specimen No. 02 · Nextentra
Crypto Sniper
A real-time token detection system — a Python pipeline that detects, scores and alerts on newly launched crypto tokens.
Built by Nextentra · My role: Market research & alert testing
The soil
New crypto tokens launch constantly, and good signals are buried in noise — false alerts are costly.
What was planted
A modular Python ingestion, scoring and alerting pipeline with automated validation, retries, structured logging and dashboard-ready outputs. I researched how new token launches behave and checked alerts against real launches to flag false positives.
What grew
98% detection accuracy, 96% precision and 94% recall on holdout validation, with fewer false alerts through iterative scoring.
What I learned
How data-driven signals and risk management apply to fast-moving, high-risk markets — and why a false alarm can cost as much as a missed one.
Specimen No. 04
CharacterPersona
A personality platform with Big Five, attachment-style and love-language assessments, 12 persona archetypes and shareable results.
Built by Nextentra · My role: Product testing & user feedback
- Web app
- Big Five research
- Consumer product
Specimen No. 04 · Nextentra
CharacterPersona
A personality platform with Big Five, attachment-style and love-language assessments, 12 persona archetypes and shareable results.
Built by Nextentra · My role: Product testing & user feedback
The soil
Personality tests are often long, locked behind sign-ups and forgettable — people want results that feel personal and are easy to share.
What was planted
Four free assessments: the flagship 30-question Big Five (about five minutes), a 10-question quick read, attachment style and love languages. Results map to one of 12 archetypes, such as the Architect, the Catalyst and the Strategist. There's no sign-up, and answers stay on the visitor's own device. I tested each assessment as a first-time user and gave feedback on the questions, the results and how easy they are to share.
What grew
Live at characterpersona.com, with four assessments, 12 archetypes and results anyone can share with a single link.
What I learned
What makes a consumer product worth sharing: it's quick, the result feels personal, there's no friction like a sign-up, and there's a reason to send it to a friend.
Trail map