You will get Custom Machine Learning & Deep Learning Model
Project details
🤖 Stuck trying to build a Machine Learning or Deep Learning model that actually works?
If you're wondering how to turn raw data into powerful, intelligent systems — you're in the right place! I'm here to design, build, and deploy custom ML/DL solutions tailored to your unique needs.
🚀 What I Offer:
✅ Supervised & Unsupervised Learning
✅ Deep Learning with TensorFlow & PyTorch
✅ NLP (Natural Language Processing)
✅ Computer Vision & Image Processing
✅ Time Series Forecasting
✅ Recommendation Systems
✅ Data Preprocessing & Feature Engineering
✅ Model Tuning & Deployment (APIs, Docker, Cloud)
💬 Got questions or a complex idea? I offer a FREE 30-minute Zoom consultation to understand your goals, clarify requirements, and plan the best solution.
Let’s bring your data to life with scalable AI models built for real-world impact!
If you're wondering how to turn raw data into powerful, intelligent systems — you're in the right place! I'm here to design, build, and deploy custom ML/DL solutions tailored to your unique needs.
🚀 What I Offer:
✅ Supervised & Unsupervised Learning
✅ Deep Learning with TensorFlow & PyTorch
✅ NLP (Natural Language Processing)
✅ Computer Vision & Image Processing
✅ Time Series Forecasting
✅ Recommendation Systems
✅ Data Preprocessing & Feature Engineering
✅ Model Tuning & Deployment (APIs, Docker, Cloud)
💬 Got questions or a complex idea? I offer a FREE 30-minute Zoom consultation to understand your goals, clarify requirements, and plan the best solution.
Let’s bring your data to life with scalable AI models built for real-world impact!
Machine Learning Tools
ChatGPT, Cloudera, Databricks MLflow, Deeplearning4j, Google Sheets, KNIME, MATLAB, Microsoft CNTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, SPSS, SQL, Stata, Tableau, Tesseract OCR, TextBlob, Vertex AI, WekaWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 3 | 6 | 10 |
Number of Graphs/Charts | 1 | 2 | 7 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Atta Ur
Data Engineering & AI Solutions Expert
Khushab, Pakistan - 8:06 pm local time
🛠️ What I Offer:
🤖 AI and Machine Learning Development
📈 Predictive Analytics, NLP, Recommendation Systems
🧠 AI Agents using OpenAI, LangChain, and LLMs
⚙️ Automation and Intelligent Decision Systems
🗃️ Data Engineering:
🔄 ETL/ELT Pipelines with Airflow & DBT
🔥 Big Data Processing using Apache Spark, Kafka, Hadoop
🏢 Data Warehouse Design: Snowflake, BigQuery, Redshift
☁️ Cloud Platforms: AWS, GCP, Azure
📊 Business Intelligence & Dashboards:
📌 Power BI Dashboards for Sales, Marketing, and Operations
📊 Tableau Dashboards for Real-Time Analytics & Executive Reporting
🎯 Visual Storytelling & KPI-Based Reports
📁 Sample Projects:
🔄 Built a big data pipeline processing 10M+ records daily using Spark and Kafka
📉 Created a Power BI dashboard for a retail brand, reducing manual reporting by 70%
💼 Developed a Tableau dashboard for financial performance used by top management
🤖 Deployed a machine learning model for churn prediction with 88% accuracy
🧰 Tech Stack:
Python 🐍, SQL, Spark, Kafka, Hadoop, Power BI, Tableau, Pandas, NumPy, TensorFlow, PyTorch, LangChain, OpenAI, Airflow, DBT, AWS, GCP, Azure, Docker 🐳, Git
📞 Let’s discuss your problem over a free 30-minute Zoom call 💬 and see how I can solve it.
📩 Message me today to get started!
Steps for completing your project
After purchasing the project, send requirements so Atta Ur can start the project.
Delivery time starts when Atta Ur receives requirements from you.
Atta Ur works on your project following the steps below.
Revisions may occur after the delivery date.
✅ Step 1: Data Collection & Preprocessing
I will begin by collecting, cleaning, and preprocessing your data using tools like Python, Pandas, NumPy, and Scikit-learn. This includes handling missing values, feature engineering, and encoding—crucial for accurate ML model training.
✅ Step 2: Exploratory Data Analysis (EDA)
Using Power BI, Matplotlib, and Seaborn, I will perform EDA to uncover patterns, correlations, and insights. This step improves model performance and helps in data-driven decision-making.