Varun Joshi
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VJ
BBA '27 · GLS University

Varun Joshi.

I take messy, unfamiliar problems and turn them into finished work that speaks for itself — fast learning, honest numbers, and systems that save time.

Varun Joshi
Based inAhmedabad, India
Comfort zoneStill expanding
AvailabilityOpen to opportunities
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Internshipscompleted across two industries
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Independent projectsdesigned, run & documented solo
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Pro certificatesissued by IBM & Google
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Skill domainsresearch to outreach to AI
01 / About

Curious by default.
Proof over promises.

I'm a BBA student at GLS University, Class of 2027, with a dual specialization in Advanced Finance and Media & Communication — a combination that trained me to be equally comfortable with numbers and narratives.

I haven't picked a lane yet, on purpose. Internships showed me how real businesses actually run; my own projects taught me how to build, sell, research, and automate. Whatever a role needs, I learn it fast — and everything on this page is evidence of that, not a claim.

Credentials
IBM Management Consultant Professional Certificate
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Google Project Management Professional Certificate
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Google AI Professional Certificate
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02 / Experience
MAY 2026 — JUL 2026 Wellfyn · Jaipur (Remote)

Finance & Business Operations Intern

  • Analyzed cashflow and operational KPIs across a ₹5 Cr+ MSME portfolio — translating raw data into structured visual summaries for leadership using AI-assisted reporting tools.
  • Documented core financial workflows and implemented standardized digital record-keeping templates to streamline daily operational tracking.
  • Collaborated directly with leadership across Finance and Operations to maintain accurate, consistent reporting standards.
Cashflow AnalysisKPI ReportingProcess DocumentationAI-Assisted Reporting
DEC 2025 — FEB 2026 Bloom Corporation · Ahmedabad (Hybrid)

Business Development Intern

  • Applied Generative AI and targeted prompt engineering to map and qualify 40+ institutional prospects — accelerating a segmented B2B outreach pipeline.
  • Conducted competitive analysis across 5+ heavy-duty equipment configurations, synthesizing market data for client pitch decks and compliance briefs.
  • Applied project management principles across 6+ client site assessments, documenting infrastructure constraints to support facility readiness planning.
B2B PipelineCompetitive AnalysisClient ProspectingSite Assessments
03 / Independent Projects

Built on my own.
Proven on the page.

Four projects I designed, ran, and documented myself — outside classes and internships. Each one works a different muscle: growth, selling, research, and operations. And each carries its own evidence: the charts, funnels, and playbooks below are the actual outputs.

01
Marketing · Content Systems

The 30-Day Content Engine

A one-month experiment: could a systemized, AI-assisted content pipeline grow a brand-new niche page from zero — posting daily without burning out? It could. The system mattered more than any single post.

RoleCreator & operator
ToolkitAI drafts · scheduler · sheet
Timeframe30 days

How I ran it

  • 01Built a three-layer system before posting anything: an idea bank of 50+ hooks, AI-assisted drafting, and one fixed daily posting slot.
  • 02Logged every post in a sheet — format, hook type, posting time — so decisions came from data, not mood.
  • 03Reviewed weekly: killed the weakest format, doubled down on the two that compounded.
If you ask me how
Nothing exotic — a content calendar, a prompt library I wrote myself, and 30 days of not skipping. The same system works for any brand's page, which is the point.
Follower Growth — Day 0 to 30
New niche page · started from zero
Followers
Content Mix
31 posts by format
What Worked — Format Scorecard
From the tracking sheet
FormatPostsAvg ReachVerdict
Short video142,400Scale
Carousels91,100Keep
Memes3950Retest
Static posts5380Cut
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Followers in 30 days
0k
Organic reach
0
Posts, zero days missed
₹0
Ad spend — all organic
02
Sales · Experiment Design

The Cold Outreach Lab

I wrote three different cold-email approaches and sent them to 120 local businesses, offering a free one-page audit of their online presence. Every send was tracked, every reply measured — and the winner became a repeatable playbook.

RoleList → send → close
ToolkitEmail · tracking sheet
Timeframe4 weeks

How I ran it

  • 01Built a 120-business list across 6 local categories — gyms, salons, cafés, clinics, tutors, boutiques — with the owner's actual name for every row.
  • 02Split-tested three angles, 40 sends each: value-first, question-first, and proof-first (opening with one specific observed gap).
  • 03Delivered the free audit to every single reply, then asked for a 15-minute call — no bait-and-switch.
What I learned
People answer specifics, not adjectives. The proof-first angle — opening with something I could only know by actually looking — nearly doubled the reply rate.
Reply Rate by Variant
% of 40 sends each
From Reply to Relationship
Outcomes of 120 personalized sends
The Playbook
Reusable · owner-tested
winning_template.txt
Hi {owner} — noticed {specific_gap} at {business} (checked this morning). I put together a free one-page audit with 3 fixes. Want me to send it over? No catch — I'm building a portfolio.
rules_that_worked.txt
1. First line = something you could only know by looking. 2. One ask, answerable with yes/no. 3. Send Tue–Thu, 10–11 AM. 4. Follow up once, day 4, with a new angle — never "just checking in."
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Best variant reply rate
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Personalized sends
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Calls booked
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Angles split-tested
03
Consumer Research · Insight

Why We Cancel: A Subscription Churn Study

Everyone my age juggles subscriptions — and quietly cancels them. I surveyed 156 students on which ones they cut, why, and what would have made them stay, then translated it into retention plays any subscription business could run.

RoleDesign → field → synthesis
ToolkitForms · sheets
Timeframe3 weeks

How I ran it

  • 01Designed a 12-question survey (choices + open text) and pushed it through six student groups → 156 valid responses.
  • 02Hand-coded the open-text answers into five cancellation drivers, cross-tabbed against category — OTT, music, food delivery, edtech.
  • 03Turned findings into specific retention plays, ranked by effort against expected impact.
The headline insight
People rarely cancel over price alone. They cancel when usage drops and the app stays silent about it — the bill just becomes the reminder.
Why People Cancel
% of 156 respondents · primary reason
What Got Cancelled
Most recent cancellation by category
Retention Plays — Ranked
Effort vs expected impact
PlayTargetsEffortImpact
Pause instead of cancelUsage-drop churnLowHigh
Usage nudge at week 3Silent lapsersLowHigh
Downshift offer on price hikesPrice-sensitiveMedMedium
Season-end win-backStudent cyclesLowMedium
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Valid responses
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Churn drivers coded
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Categories compared
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Retention plays shipped
04
Operations · AI Automation

The 10-Hour Week

I tracked where my week actually went, then built small AI-and-spreadsheet systems for the repetitive parts — notes, reports, planning, follow-ups. Result: roughly ten hours a week back, from tools simple enough for anyone to copy.

RoleBuilder & daily user
ToolkitLLMs · sheets · templates
Timeframe6 weeks

How I ran it

  • 01Ran a two-week time audit — every recurring task logged in 30-minute blocks. Found 14+ hours of repeatable admin.
  • 02Built one small system per task: notes → structured minutes, a weekly report generator, a planning routine, a follow-up tracker.
  • 03Re-measured after four weeks, then wrote each system up as a copyable template anyone can lift.
The rule I set
No system allowed unless it pays back 10× the time it took to build. Four made the cut. Each one is a prompt plus a template — not an app.
The Method
Audit → template, in five moves
01
Audit
Log the week honestly, 30-min blocks
→
02
Target
Only tasks with 10× payback
→
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Build small
A prompt + a template, no code
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Measure
Before/after, per task
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05
Template it
Written up, copyable by anyone
Hours per Week — Before vs After
Four recurring tasks
BeforeAfter
Two of the Four Systems
Prompt + template each
minutes_from_notes.txt
INPUT: {raw_meeting_notes}. OUTPUT: decisions made · owners + deadlines · open questions — max 12 lines. Flag anything ambiguous instead of guessing.
weekly_report.txt
READ: {week_log}. DRAFT: 3 wins with numbers · 2 blockers with asks · next week's top 3. Tone: direct, zero filler.
0h+
Reclaimed every week
0%
Avg time cut per task
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Systems shipped
0×
Payback rule per build
04 / Capabilities

Range is
the skill.

Six areas, one pattern: pick up whatever the problem needs, learn it fast, and leave evidence behind. Every card below traces back to work you can see on this page.

01→
Research & Insight
Surveys, desk research, and coding raw answers into decisions people can act on — the churn study, end to end.
Survey designSynthesis
02→
Selling & Outreach
List building, personalization, split-testing, and follow-up discipline — the outreach lab, from first send to booked call.
ProspectingA/B testing
03→
Growth & Content
Content systems, hooks, and format experiments that compound — the 30-day engine, run on a real page.
Content systemsChannel tests
04→
Numbers & Business Sense
Advanced Finance specialization plus internship reps in budgets, KPIs, and reporting that leadership actually reads.
KPIsReporting
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AI-Enabled Execution
Prompt libraries and small automations that cut repetitive work by ~70% — the 10-Hour Week stack, used daily.
Prompt designAutomation
06→
Communication
Media & Communication training put to work: decks, briefs, and pages — like this one — that make complex things clear.
DecksWriting
Get In Touch

Point me at
a problem.

Let's talk.

Email Me → LinkedIn ↗