You will get a high accuracy custom Machine Learning models using python and AI.
Project details
Turn your raw data into intelligent, actionable insights with a high-accuracy Machine Learning solution. I specialize in developing custom predictive models using Python, focusing on solving complex problems like Credit Card Fraud Detection.
What sets me apart is my end-to-end approach: I don't just train a model; I perform rigorous Exploratory Data Analysis (EDA) , handle Highly Unbalanced Datasets through strategic sampling, and ensure high performance. My recent fraud detection project achieved a 93.6% accuracy on training data and 93.4% on test data using Logistic Regression. Whether you need classification, regression, or data preprocessing using Pandas and NumPy, I deliver clean, documented, and deployment-ready code.
What sets me apart is my end-to-end approach: I don't just train a model; I perform rigorous Exploratory Data Analysis (EDA) , handle Highly Unbalanced Datasets through strategic sampling, and ensure high performance. My recent fraud detection project achieved a 93.6% accuracy on training data and 93.4% on test data using Logistic Regression. Whether you need classification, regression, or data preprocessing using Pandas and NumPy, I deliver clean, documented, and deployment-ready code.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Keras, MATLAB, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
Number of Revisions | 2 | 4 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $100
Additional Revision
+$15
Deployment Support
(+ 2 Days)
+$100
Advanced Data Augmentation
(+ 2 Days)
+$50Frequently asked questions
About Dur E
AI Automation | ML Engineer | Backend Developer | PDF Parsing |DL, NLP
Attock City, Pakistan - 10:05 am local time
I am an AI & Machine Learning Engineer with a strong background in Backend Development. My expertise lies in building the entire data lifecycle from Intelligent Extraction and Predictive Modeling to deploying scalable Production-Ready Backends. I don’t just write scripts I build integrated AI systems that solve real-world business challenges.
What I Can Build For You:
Custom Machine Learning & AI Models: I develop robust models for Fraud Detection, Predictive Analytics, and Classification using Scikit-Learn, and TensorFlow. I specialize in handling complex datasets, imbalanced dataset, feature engineering, and high-accuracy model tuning.
Intelligent Document AI & OCR: Using Python, Tesseract OCR, and PDFPlumber, I build automated pipelines to extract structured data from messy PDFs, scanned invoices, and legal documents with 99% accuracy.
Scalable Backend & API Integration: I transform AI models into functional products. Using Flask, FastAPI, and SQL/NoSQL databases, I build secure REST APIs and backend architectures that can handle high-load data processing.
NLP & Deep Learning: Expertise in Natural Language Processing (NLP), including sentiment analysis, text classification, and fine-tuning Large Language Models (LLMs) for custom business logic.
Technical Stack & Toolkit:
AI/ML: Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, SMOTE.
Backend: Python (Expert), Flask, FastAPI, REST APIs, SQL, NoSQL.
Automation/OCR: Tesseract OCR, PyPDF2, PDFPlumber.
Data Science: Pandas, NumPy, Matplotlib, Seaborn, Google Colab.
DevOps/Workflow: Docker, Git, Linux, Jupyter Notebooks.
Why Partner With Me?
I focus on End-to-End Solutions. Instead of hiring three different people for data extraction, model building, and backend deployment, you get a single point of contact who understands the entire AI Pipeline. My goal is to deliver clean, scalable, and production-ready code that drives measurable value.
Let’s discuss your project and turn your technical challenges into automated successes!
Steps for completing your project
After purchasing the project, send requirements so Dur E can start the project.
Delivery time starts when Dur E receives requirements from you.
Dur E works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment & Preprocessing
Analyzing your dataset for null values and data types. I will clean and prepare the data for the machine learning pipeline.
Exploratory Data Analysis (EDA)
Visualizing the distribution of classes (e:g, Legit vs Fraudulent) to identify patterns and data imbalances.