You will get the Power to Excel: Unleashing Data Insights with Dynamic DAX Services
Rising Talent
You will get the Power to Excel: Unleashing Data Insights with Dynamic DAX Services
Rising Talent
Project details
Welcome to a journey of data empowerment and insights discovery. Our DAX (Data Analysis Expressions) services are designed to propel your business into a realm of data-driven brilliance. What sets us apart is our passion for unraveling the true value hidden within your data. Our customized solutions, tailored to your unique needs, deliver precise insights that drive results. We as data architects create impeccable models, setting the stage for dynamic DAX calculations that empower your decision-making. With performance optimization and comprehensive training, we redefine data analysis, making it lightning-fast and agile. Choose from our "Insights Explorer", "Data Dynamo", or "Insights Mastermind" packages, and unlock the full potential of your data.
Together, let's embrace the future of data-driven success and unleash the brilliance of your business today!
Together, let's embrace the future of data-driven success and unleash the brilliance of your business today!
Data Tool
SQLWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$4,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 40 days |
Number of Revisions | 1 | 2 | 5 |
Number of Scenarios | 1 | 5 | 10 |
Number of Model Variations | 1 | 5 | 10 |
Model Documentation | - | ||
Data Source Connectivity | |||
Model Validation/Testing | - |
About Suleman
GCP Certified ML & Data Engineering Expert | Full-Cycle Cloud Solution
Lahore, Pakistan - 9:29 am local time
As a dual-certified GCP Professional (Machine Learning and Data Engineering), I offer end-to-end expertise to build, deploy, and scale data-driven systems. Whether you need a standalone ML model, a modern data pipeline, or a unified analytics-to-AI strategy, I bring cross-functional mastery to ensure every component of your cloud ecosystem works in harmony.
TECHNICAL SKILLS & EXPERIENCE:
✅ Unified Workflows: Integrate BigQuery ML with Vertex AI for predictive analytics, or deploy PySpark models on Dataproc.
✅ Full-Stack Cloud Builds: From Dataform SQL pipelines to containerized ML APIs on Cloud Run.
✅ Performance Tuning: Optimize costs for both data storage (Coldline vs. Nearline) and ML inference (Vertex AI vs. custom endpoints).
✅ Industry-Specific Solutions: Experience in retail (demand forecasting), healthcare (HL7 analytics), and fintech (risk modeling).
CLIENT SUCCESS STORIES:
✅ Delivered a supply chain analytics platform combining IoT data (Cloud Pub/Sub), real-time dashboards (Looker), and ML-driven demand forecasts.
✅ Cut a SaaS company’s infrastructure costs by 55% by migrating legacy systems to GCP and automating resource scaling.
✅ Built a customer churn prediction system using BigQuery ML and Looker, increasing retention by 22% for a subscription business.
WHY PARTNER WITH ME?
✅ One-Stop Expertise: Eliminate vendor fragmentation with a single owner for data and ML.
✅ Business Alignment: Solutions designed to meet KPIs, whether it’s reducing latency, improving accuracy, or simplifying compliance.
✅ Agile Execution: MVP delivery in 2-4 weeks for fast validation.
CALL TO ACTION:
Looking for a trusted partner to navigate the cloud complexity? Let’s craft a solution that’s as innovative as your vision. Reach out now to get started.
Steps for completing your project
After purchasing the project, send requirements so Suleman can start the project.
Delivery time starts when Suleman receives requirements from you.
Suleman works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Requirements Gathering
- Conduct in-depth discussions with the client to understand their business objectives, data sources, and specific analysis needs. - Gather detailed requirements, including the desired data model, key metrics, and KPIs to be measured.
Data Modeling and Design
- Develop a well-structured data model based on the collected requirements and the available data sources. - Design the relationships between tables and define primary and foreign keys.