You will get ML Models for Retail Demand Forecasting | AI/Machine Learning Engineer
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Project details
Hi, I’m Ahad, an experienced ML Engineer with 9 years of expertise in developing machine learning models tailored to retail demand forecasting. I create AI-driven solutions that help retail businesses optimize inventory, predict future sales, and improve supply chain efficiency.
I specialize in building custom ML models that:
✅ Analyze historical sales data to predict future demand
✅ Provide accurate demand forecasting for various retail sectors
✅ Integrate forecasting models with your existing inventory and supply chain systems
✅ Use advanced algorithms (ARIMA, LSTM, XGBoost) for high-accuracy predictions
✅ Deploy scalable, cloud-based forecasting systems for real-time updates
⚡ Perfect for retail businesses, e-commerce platforms, and supply chain managers looking to optimize their demand forecasting and inventory management.
💼 I focus on delivering production-ready ML models that improve decision-making, reduce costs, and drive operational efficiency.
🔥 Turn your retail forecasting into an AI-powered solution. Send me a message and let’s start building a custom ML model that transforms your business!
I specialize in building custom ML models that:
✅ Analyze historical sales data to predict future demand
✅ Provide accurate demand forecasting for various retail sectors
✅ Integrate forecasting models with your existing inventory and supply chain systems
✅ Use advanced algorithms (ARIMA, LSTM, XGBoost) for high-accuracy predictions
✅ Deploy scalable, cloud-based forecasting systems for real-time updates
⚡ Perfect for retail businesses, e-commerce platforms, and supply chain managers looking to optimize their demand forecasting and inventory management.
💼 I focus on delivering production-ready ML models that improve decision-making, reduce costs, and drive operational efficiency.
🔥 Turn your retail forecasting into an AI-powered solution. Send me a message and let’s start building a custom ML model that transforms your business!
Machine Learning Tools
Azure Machine Learning, ChatGPT, deeplearn.js, Deeplearning4j, GitHub Copilot, Google Data Studio, Google Sheets, Keras, Kubeflow, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, scikit-learn, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,800
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 8 days | 18 days | 30 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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SB
Simon B.
Apr 22, 2026
Chatbot Expert for Video Scripting Automation
Everthing went well - nice to work with and are going the extra mile.
AV
Alina V.
Nov 6, 2025
Instructor AI/ML Finetuning Lecture
It was a pleasure working with Ahad and Awais on our AI/ML Finetuning lecture. Awais delivered the session with clarity, depth, and professionalism, engaging our advanced engineering audience with relevant insights and real-world examples. We’d be happy to collaborate with them again on future AI/ML projects.
About Ahad
AI Automation Engineer | LLM Apps, RAG, ML & Data Science
100%
Job Success
Lynwood, Australia - 3:26 pm local time
I bring 𝟗+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, with a strong focus on AI automation, LLM applications, machine learning, and data-driven systems.
My focus is not just building AI demos. I design and develop real AI solutions that can be used in daily business operations - including LLM applications, RAG chatbots, AI automation workflows, document processing systems, data analytics tools, and machine learning models.
✅ What I Can Help You Build:
✔️ AI automation workflows that reduce manual work and save time
✔️ LLM-powered apps using OpenAI, Claude, LangChain, and Hugging Face
✔️ RAG chatbots that answer questions from PDFs, websites, documents, and databases
✔️ AI agents for research, reporting, customer support, lead processing, and internal operations
✔️ Data science and machine learning models for prediction, classification, and analytics
✔️ Document extraction, summarization, data cleaning, and reporting automation
✔️ API integrations with CRMs, SaaS platforms, dashboards, and internal tools
✅ Example Projects:
• AI Analytics RAG Assistant: built a system that analyzes files and data, retrieves relevant context, and gives accurate, sourced answers
• Vacation Rental AI Analysis App: created an AI-powered app that reviews listings from Airbnb, Vrbo, Booking, Expedia, Hotels, and Agoda
• Live Match Predictor: developed a machine learning system that analyzes live sports data and predicts match outcomes
• Sentiment & Emotion Detector: built an AI system using Python, OpenCV, TensorFlow, and deep learning to classify human emotions
✅ Why Work With Me:
✔️ Strong hands-on experience with AI, automation, LLMs, RAG, ML, and data analytics
✔️ I think from a business workflow perspective, not only from a technical perspective
✔️ I can take an idea from discovery to architecture, implementation, testing, and deployment
✔️ Clear communication, fast execution, and practical problem-solving
🛠️ Core Technologies:
Python, FastAPI, Node.js, React, React Native, OpenAI API, Claude, LangChain, Hugging Face, TensorFlow, PyTorch, RAG, Vector Databases, PostgreSQL, Supabase, Pinecone, FAISS, n8n, Make, Zapier, API Integrations, Data Analytics, Machine Learning, Automation Workflows.
If you have a manual workflow, internal process, document-heavy operation, chatbot idea, or AI product concept, send me a message.
I can help you turn it into a clear technical plan and a working AI solution.
Steps for completing your project
After purchasing the project, send requirements so Ahad can start the project.
Delivery time starts when Ahad receives requirements from you.
Ahad works on your project following the steps below.
Revisions may occur after the delivery date.
ML Engineer | Machine Learning Models for Retail Demand Forecasting