You will get Striking Insights into Data with Machine Learning algorithms
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Project details
Hi there,
I am well versed with ML/DL algorithms and implanted same on immense CERN data. Following are some skills that i can deliver:
• AWS Sagemaker
• Natural Language Processing
• Computer Vision
• Data Analysis & Visualizations
• ETL/Transformation using Spark SQL / AWS
• Train and Deploy Models at AWS
Tools used, among other things:
• Python
• AWS
• TensorFlow / PyTorch / Sci-kit learn
• Spark MLlib
• Tableau Public (Dashboards and Stories of your Data)
Feel free to message me about your project and get free consultation.
Looking forward to work with you !!!
Regards,
Waqas
I am well versed with ML/DL algorithms and implanted same on immense CERN data. Following are some skills that i can deliver:
• AWS Sagemaker
• Natural Language Processing
• Computer Vision
• Data Analysis & Visualizations
• ETL/Transformation using Spark SQL / AWS
• Train and Deploy Models at AWS
Tools used, among other things:
• Python
• AWS
• TensorFlow / PyTorch / Sci-kit learn
• Spark MLlib
• Tableau Public (Dashboards and Stories of your Data)
Feel free to message me about your project and get free consultation.
Looking forward to work with you !!!
Regards,
Waqas
Machine Learning Tools
Amazon SageMaker, Apache Spark MLlib, Python, Python Scikit-Learn, PyTorch, SQL, Tableau, TensorFlow, XGBoostWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 2
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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About Muhammad
Data Scientist (Ph.D.) | AI & Machine Learning Architect
100%
Job Success
Riyadh, Saudi Arabia - 9:01 am local time
My background includes research experience at CERN in Geneva, Switzerland, and Fermilab near Chicago, USA, where I applied machine learning to complex, high-volume scientific data. I have also co-authored 20+ research papers.
In industry, I have worked across startups, enterprises, insurance, and GCC government/financial-sector environments. My recent work includes building LLM-based chatbot and decision-support systems on complex financial and insurance data, enabling business users to query structured data, analyze performance, understand risks, and generate decision-ready insights.
I have worked with the Department of Finance – Abu Dhabi on system development and AI/ML use cases involving budget forecasting, expenditure tracking, anomaly detection, macroeconomic benchmarking, and chatbot-style decision support. In my current insurance role, I have built an internal AI chatbot over underwriting, pricing, claims, quotation, and financial performance data.
Core expertise:
✔️ LLM/RAG chatbot development over structured and unstructured business data
✔️ AI agents and workflow automation for retrieval, analysis, summarization, and decision support
✔️ LangChain, LlamaIndex, embeddings, vector search, prompt design, and retrieval pipelines
✔️ Machine learning, predictive modeling, anomaly detection, and time series forecasting
✔️ Financial, insurance, government, and operational analytics
✔️ Model validation, data-quality checks, leakage detection, business-rule validation, and output testing
✔️ Dashboards and analytics apps using Python, Streamlit, Power BI, Tableau, and SQL
✔️ Python, PyTorch, TensorFlow, scikit-learn, pandas, PySpark, SQL, AWS, and Azure
✔️ Advanced statistics, regression, classification, clustering, XGBoost, Random Forest, LSTM, and neural networks
What differentiates me is the combination of scientific rigor, GCC financial-sector experience, and hands-on AI/LLM delivery. I do not only build models or chatbots — I validate the data, challenge assumptions, test outputs, and ensure the final solution is reliable, explainable, and useful for real business decisions.
Feel free to reach out to discuss project scope, availability, and rates.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Steps
Will keep the client in loop for feedback during each of the following steps: - Data Collection - Data Preparation - Model Selection - Model Training - Model Evaluation - Parameter Tuning - Make Predictions

