Campaign execution
Set up, monitored and optimized lead generation, sales, traffic, awareness and conversion campaigns in Meta Ads Manager.
Delhi, India
ARYAN KAUSHIK
Performance Marketing • Analytics • AI Automation
Building data-driven marketing systems through hands-on campaign execution, analytics and AI-assisted workflows.
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01 / About the practice
Execution meets
analysis.
I’m Aryan Kaushik, a Delhi-based BBA student. I completed a Performance Marketing internship at Tangence India from 20 July to 18 September 2026, working across campaign execution, audience targeting, reporting, analytics and creative messaging.
I also build analytics and AI-assisted workflows that make the loop between execution, measurement and the next decision clearer.
ExecutionAnalysis
02 / Experience
Tangence India / Delhi
Performance Marketing
Intern.
B2BB2CE-commerceEvents / Exhibitions
ObjectiveAudienceCreativePerformance
Audience & targeting
Conducted audience research, segmentation, location targeting and competitor research across varied client categories.
Performance analysis
Evaluated CPL, CPC, CTR, reach, impressions, clicks, leads and conversions using comparative and trend analysis.
Reporting
Prepared and interpreted daily, weekly and monthly client reports in Microsoft Excel and Google Sheets.
Creative strategy
Developed reel scripts, ad copy, primary text, headlines, campaign messaging and creative concepts.
03 / The measured scope
Paid media.
Measured precisely.
Approximately eight weeks of Meta advertising activity across B2B, B2C, e-commerce and event campaigns.
₹22.25L+
Meta ad spend
10
Advertising accounts
7
Clients
04 / Eight-week data
Eight weeks.
Campaign data in view.
An aggregate view of Meta campaign activity from the approximately eight-week internship period.
14.72M+
6.94M
Sum of reported account-level reach across analyzed advertising accounts; audiences may overlap.
05 / Selected internship work
Work built
in-market.
Four connected areas of hands-on performance marketing work at Tangence India.
06 / Independent project / flagship
Performance
Marketing
Command Center.
A decision-support system for Meta Ads exports, built to make campaign interpretation more trustworthy and actionable.
Built a browser-based Meta Ads analytics and decision-support platform that imports CSV/XLSX exports, distinguishes analytical rows from grouped or pivot totals, flags overlapping reporting grains before aggregation, and turns trusted data into campaign, funnel and scaling diagnostics.
Explore live projectCommand Center / Data pipeline01 — 05
- 01Raw
- 02Validate
- 03Trust
- 04Diagnose
- 05Act
- 01 / Raw exports
Work with the data as delivered.
Tested across multiple real-world Meta Ads datasets, handling varying campaign structures, reporting grains, conversion types, missing values, and grouped/pivot exports.
- 02 / Validation
Catch grain and structure errors.
CSV/XLSX validation detects overlapping reporting grains and prevents double counting before a campaign is interpreted.
- 03 / Trusted dataset
Make interpretation accountable.
Data Trust scoring and conversion interpretation make the limitations of an export visible before analysis proceeds.
- 04 / Diagnosis
Find the performance signal.
Campaign diagnostics, scaling safeguards and funnel analytics translate trusted inputs into clearer performance questions.
- 05 / Action
Turn evidence into a next move.
An Action Center connects the diagnosis to an actionable decision while keeping the underlying data checks in view.
Software verification, not marketing-performance proof
113unit / integration tests
9end-to-end Playwright tests
Technology React · TypeScript · Vite · IndexedDB · Playwright · Cloudflare Pages
07 / Independent project / secondary feature
AI automation
for development workflows.
Experiments in agent-assisted creation, iteration and debugging across development environments.
Built AI-assisted automation workflows for game development and 3D environments using tools including Roblox Studio and Blender.
Used AI agents to generate, modify, debug, and iterate on scripts, game systems, UI components, and development workflows.
- 01Inspect
- 02Plan
- 03Execute
- 04Test
- 05Debug
- 06Iterate
Experimented with AI-controlled Blender workflows for interacting with scenes and automating repetitive 3D development tasks.
Developed multiple experimental game prototypes using AI-assisted development, testing automation across gameplay systems, interfaces, environments, and debugging.
Explored agent-based workflows where AI could inspect project state, execute development tasks, identify issues, and iteratively improve implementations.
08 / Skills
Tools for the
full campaign cycle.
Performance
Marketing
- Meta Ads Manager
- Campaign Setup & Optimization
- Lead Generation
- Audience Research & Segmentation
- Location Targeting
- Competitor Research
Analytics &
Reporting
- Microsoft Excel
- Google Sheets
- Power BI
- KPI Analysis — CPL, CPC, CTR
- Trend & Comparative Analysis
- Data Cleaning & Visualization
Creative &
Content
- Ad Copywriting
- Primary Text & Headlines
- Reel Scriptwriting
- Creative Ideation
- Campaign Messaging
AI
Automation
- Agent-assisted Development
- Script & UI Iteration
- Workflow Debugging
- AI-controlled Blender Experiments
09 / Academic project
Apple Sales
Dashboard.
An individual academic project built around structured sales analysis in Power BI.
Dataset Analysis Dashboard
10 / Education
GGSIPU / Delhi
Bhagwan Parshuram
Institute of Technology
Bachelor of Business Administration (BBA)
- Expected graduation
- 2027
- Latest semester CGPA
- 8.18
Relevant coursework
- Business Analytics
- Marketing Management
- Statistics
- Financial Accounting
Bal Bharati Public School
Ganga Ram Hospital Marg, Delhi
Class XII
Digital Marketing with Power BI
Winnovation Education Services Pvt. Ltd. & BPIT
Feb 2025 — May 2025
11 Contact
For performance marketing, growth and analytics opportunities.