Customer & Marketing Analytics · Product Experience · E-commerce · AI-Enabled Operations
Karachi, Pakistan · LinkedIn
I work at the intersection of customer data, commercial decisions, product experience, and practical automation.
I am a BBA graduate from IBA Karachi with experience across product/customer operations, research, e-commerce, marketplace advertising, and applied AI. I previously worked as a Product Experience Analyst at US Mobile, handling complex customer/product issues, troubleshooting, escalations, recurring-issue analysis, and cross-functional resolution.
My analytics background goes back to university work in SPSS, Excel, and R, and now extends into Power BI, Python, APIs, AI-assisted workflows, and cloud AI experimentation.
I prefer work where analysis changes a decision — who to retain, what to prioritize, how to measure performance, or how to improve a workflow.
| Project | Business problem | What it demonstrates |
|---|---|---|
| Customer Churn Prediction & Retention Strategy | Which customers are at risk, and which retention offers make commercial sense? | RStudio, Excel, churn analysis, retention economics, business interpretation |
| CatalogFlow AI | How can inconsistent vendor catalog files become cleaner, reviewable, export-ready data? | Python, data cleaning, QA, CSV/Excel processing, APIs, optional LLM enrichment |
| Revenue Hunter OS | How can scattered opportunities become a ranked action queue and measurable pipeline? | FastAPI, scoring logic, workflow design, lightweight CRM logic, APIs |
Both current software prototypes include automated smoke tests through GitHub Actions.
These write-ups describe evidence-backed work whose original files are kept privately rather than publishing sensitive or third-party data.
- Statistical Analysis & SPSS — descriptive statistics, chi-square, t-tests, correlation, regression, ANOVA/model interpretation, and research support.
- E-commerce PPC & Marketplace Operations — Amazon campaign planning, Seller Central work, product/keyword research, listing optimization, and founder-side execution.
- Consumer Research & Marketing Analysis — depth interviews, coding, concept mapping, survey analysis, brand strategy, and insight synthesis.
- Aster House — Private Multi-Model AI Workspace — live private prototype exploring multi-provider AI, persistent preferences, private workspace concepts, and a roadmap toward automatic model routing.
- AI Infrastructure & GPU Inference Experiments — RunPod, ComfyUI, Wan workflows, CLIP Vision, persistent storage, GPU telemetry, and compatibility troubleshooting.
Tools: Excel · IBM SPSS · R / RStudio · Power BI · Python
Methods / work: descriptive analysis · hypothesis testing · correlation · regression · churn analysis · customer segmentation thinking · data visualization · survey analysis · business-case modeling
I also have hands-on exposure to Google Ads, Google Analytics, Amazon PPC, Seller Central, marketplace research, and e-commerce performance work.
US Mobile — Product Experience Analyst
Worked on complex customer and product issues, troubleshooting, escalations, recurring problem patterns, and resolution across operational/technical workflows.
Mercari / ibex — Customer Success
Customer-facing support experience in a high-volume digital marketplace environment.
Sellercoop — E-commerce Consultant
Worked with Amazon marketplace research, listings, product/keyword analysis, and PPC-related workflows.
Retail Medley — Co-Founder / Operator
Worked across marketplace operations, PPC, product research, suppliers, inventory, and day-to-day business decisions.
My recent work focuses on using AI as an operating layer, not just as a chatbot:
- data-cleaning and enrichment workflows,
- business prioritization and scoring,
- multi-model AI product concepts,
- human-in-the-loop decision systems,
- API-based automation,
- and cloud GPU inference experimentation.
For software projects, I use AI-assisted development. My contribution is the product framing, workflow design, business logic, analysis, testing, iteration, and decision-making; I do not present AI-assisted code as hand-written-from-scratch engineering.
- Crossover: reached the final interview stage after being placed in the top 5% of applicants for the role.
- Power BI: completed Prepare, Clean, Transform, and Load Data using Power BI through Coursera (Sep 2022).
- AI for Everyone: Coursera credential (Mar 2019).
- Google Digital Garage: Google credential (Feb 2019).
- IBA Karachi: received an Outstanding Performance certificate for a Principles of Marketing TVC assignment.
- Historical SPSS working files and IBM subscription records from university are preserved in a private evidence archive.
I am especially interested in roles and projects involving:
customer / marketing analytics · measurement · retention · product experience · e-commerce · AI-enabled operations · business decision support
I keep a private source archive for old projects, screenshots, working files, certificates, and provenance records.
Where a project is group work, work created for another student/client, a modern reconstruction, a private prototype, or AI-assisted software, I label it accordingly rather than collapsing everything into “I built this alone.”