You will get a Zapier integration. Passing data from one app to another using Zap or API
Project details
You will get a zap built inside of your Zapier account. It would be using Zapier built in Applications or if application/functionality is not supported by Zapier then using custom API webhooks.
Database Type
MySQL, MS SQL, SQLiteWhat's included
| Service Tiers |
Starter
$100
|
Standard
$170
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 3 | Unlimited | Unlimited |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100About Momina
SQL & Python Data Analyst | BI Dashboards | Predictive Modelling & ET
Lahore, Pakistan - 6:19 am local time
I'm a data analyst with 1+years of hands-on experience across e-commerce and SaaS, working on everything from raw ingestion to the final chart a VP makes a budget decision from. My work sits at the intersection of solid engineering and clear analysis — I don't just query data, I make sure it's worth querying in the first place.
On the technical side: I write SQL that scales. CTEs, window functions, incremental logic, query optimization against multi-billion row tables in Big Query, these aren't things I read about, they're things I do daily. In Python, I work primarily with pandas and numpy for transformation and analysis, and scikit-learn for predictive work: churn models, demand forecasting, lead scoring. I know when a logistic regression is the right call and when you're overengineering a problem that a cohort table would solve in ten minutes.
For pipelines, I build and maintain ELT workflows using dbt and orchestrate them with Airflow. I model data in layers staging, intermediate, mart, so that analysts downstream aren't fighting with raw event tables. I've migrated legacy ETL processes off fragile cron jobs and onto maintainable, tested, version-controlled dbt projects.
On the BI side, I work primarily in Tableau and Looker. I build dashboards that answer specific questions rather than display every metric available. Funnel analysis, cohort retention curves, revenue attribution across acquisition channels, MoM and WoW variance reporting, I've built all of these for product, growth, and finance teams who needed to make decisions, not just review numbers.
My most significant recent project: redesigned a SaaS company's entire customer health scoring model in Big Query, surfacing signals through a Looker dashboard that the CS team used daily. Churn in the tracked segment dropped 18% over two quarters. That result came from understanding the business logic as much as the technical implementation.
If you're working with messy data, an unreliable pipeline, or a dashboard your team has stopped trusting, send me the details. I'll tell you within a conversation whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Momina can start the project.
Delivery time starts when Momina receives requirements from you.
Momina works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Requirements
Deliver