You will get Time Series Analysis and Modeling

Project details
I will do Time series analysis, data exploration exploratory data analysis of trends, time series decomposition, analyzing cycles, trends, and stationarity in time series. Applying Forecasting model to forecast sales unit, weather forecasting or so on other use cases.
What's included
| Service Tiers |
Starter
$200
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 3 | 4 |
Number of Model Variations | 2 | 5 | 8 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
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About Maad
Cloud Data & AI Engineer | GCP, AWS, Azure | AI Pipelines
100%
Job Success
Karachi, Pakistan - 11:31 am local time
With 7+ years of experience in data engineering and cloud architecture, I specialize in designing data-intensive systems that process large-scale data efficiently and turn it into actionable insights and intelligent automation.
🔹 What I Can Help You With
Cloud Data Engineering & Big Data Systems
End-to-end ETL/ELT pipelines on GCP, AWS, Azure & Databricks
BigQuery, Redshift, Synapse, Microsoft Fabric Lakehouse
Apache Spark / PySpark (Databricks, distributed processing)
GCP Dataflow, Pub/Sub, Cloud Functions, Composer (Airflow)
AWS Glue, Lambda, S3 | Azure Data Factory & Synapse
Batch & real-time streaming pipelines (Kafka, event-driven systems)
Data modeling (star schema, lakehouse & warehouse architecture)
GenAI & AI-Powered Data Applications
LLM integrations (ChatGPT, Claude, Gemini)
GenAI-based data pipelines & intelligent workflows
Natural Language → SQL / data querying systems
AI copilots, automation tools & internal assistants
Recommendation systems (e-commerce, product analytics)
Analytics & Data Products
Product analytics (GA4, user behavior, funnel analysis)
Marketing attribution & performance analytics
Business intelligence & reporting systems
Data-driven strategy & decision support solutions
🔹 What Makes Me Different
I don’t just build pipelines I design end-to-end data platforms that connect data engineering, big data processing, and GenAI into real business use cases.
My focus:
Scalable architectures (handling high-volume data workloads)
Cost optimization (BigQuery, Databricks, cloud-native systems)
Clean, reliable data models for analytics and AI
🔹 Tech Stack
GCP: BigQuery, Dataflow, Pub/Sub, Cloud Functions, Composer
AWS: S3, Glue, Redshift, Lambda
Azure & Fabric: Data Factory, Synapse, Fabric Lakehouse
Databricks & Big Data: Apache Spark, PySpark
Core: Python, SQL, Airflow, Kafka
GenAI: ChatGPT, Claude, Gemini
🔹 Typical Projects I Work On
Building scalable data pipelines (APIs, GA4, ERP → Data Warehouse/Lakehouse)
Designing cloud-native data platforms (GCP, AWS, Azure, Databricks, Fabric)
Developing GenAI-powered tools (chatbots, automation, data assistants)
Creating real-time and streaming data systems
Implementing recommendation engines and analytics platforms
If you're looking for someone who can design and build a scalable data platform or AI-driven solution tailored to your business, let’s connect.
Steps for completing your project
After purchasing the project, send requirements so Maad can start the project.
Delivery time starts when Maad receives requirements from you.
Maad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Modeling
1) Extraction of data
Data analysis
In this step, we do a time series analysis extracting trends, cycles, exploratory data analysis, data cleaning and imputation, plotting charts and graphs



