You will get a custom ML model that increases prediction accuracy by 20%+
Project details
Transform your business with custom machine learning solutions that deliver real results. With expertise in TensorFlow, PyTorch, and scikit-learn, I build predictive models that increase accuracy by 20%+ and help you make data-driven decisions.
What sets me apart:
• 5+ years developing ML models for finance, healthcare, and e-commerce
• Proven track record of improving model accuracy and reducing costs
• End-to-end service: from data preprocessing to production deployment
• Experience with AWS, Docker, and Kubernetes for scalable solutions
• Clear documentation and knowledge transfer to empower your team
Whether you need predictive analytics, recommendation systems, or automated forecasting, I deliver production-ready ML models that solve real business problems. Your success is measured in tangible improvements: higher accuracy, faster processing, and better ROI.
What sets me apart:
• 5+ years developing ML models for finance, healthcare, and e-commerce
• Proven track record of improving model accuracy and reducing costs
• End-to-end service: from data preprocessing to production deployment
• Experience with AWS, Docker, and Kubernetes for scalable solutions
• Clear documentation and knowledge transfer to empower your team
Whether you need predictive analytics, recommendation systems, or automated forecasting, I deliver production-ready ML models that solve real business problems. Your success is measured in tangible improvements: higher accuracy, faster processing, and better ROI.
Machine Learning Tools
Keras, NumPy, pandas, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Faraz
AI/ML Engineer | Cloud & Blockchain Specialist | Algorithmic Trading
Bengaluru, India - 1:06 pm local time
🎯 What I Deliver
✦ End-to-End ML Systems
From data pipelines to deployment: TensorFlow, PyTorch, FastAPI, Docker, and CI/CD automation that cuts deployment time from hours to minutes.
✦ Cloud Architecture & DevOps
AWS/GCP infrastructure with Kubernetes orchestration resilient, auto scaling systems that just work.
✦ Blockchain & Smart Contracts
Gas optimized Solidity contracts, security audits, and Web3 integrations using Hardhat and Web3.js.
✦ Algorithmic Trading Systems
Strategy design, backtesting, and automated execution with quantifiable performance metrics.
📊 Proven Results
• 15% improvement in forecasting accuracy using LSTM with sentiment analysis
• 20% boost in trade execution efficiency through algorithm optimization
• Deployment automation: <20 minutes using Docker + GitHub Actions on AWS
💼 Tech Stack
Python • TensorFlow • PyTorch • Pandas • FastAPI • Docker • Kubernetes • AWS • GCP • Solidity • Hardhat • Web3.js • Rust • GitHub Actions • SQL
🚀 My Process
Define clear KPIs → Build MVP → Automate deployment → Deliver documentation
Expect transparent communication, milestone-based delivery, and systems that scale.
📩 Next Step
Share a brief about your project, and I'll respond within 48 hours with a detailed plan: deliverables, timeline, and success metrics.
Let's build something that delivers real ROI.
Steps for completing your project
After purchasing the project, send requirements so Faraz can start the project.
Delivery time starts when Faraz receives requirements from you.
Faraz works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering & Data Assessment
Discuss project goals, understand your data sources, and define success metrics. I'll analyze your dataset quality and determine the best ML approach for your specific needs.
Data Preprocessing & Feature Engineering
Clean and prepare your data, handle missing values, engineer relevant features, and perform exploratory data analysis to identify patterns that will maximize model performance.