⚡
Presentation
I am Ahsan Akhtar, a Machine Learning Engineer & Python Developer with 5+ years of experience building AI-powered business solutions for startups, e-commerce brands, real estate firms, and manufacturing companies.
I don’t just write code — I build systems that increase revenue, reduce costs, and automate operations using Machine Learning, Computer Vision, NLP, and Data Science.
💼 What I Can Build for You
🤖 AI & Machine Learning Solutions
Customer Churn Prediction – know which customers will leave before they do
Sales Forecasting (LSTM, Prophet) – predict future revenue & inventory needs
Sentiment Analysis (BERT, LSTM) – analyze customer reviews & feedback
Fraud & Risk Models
Classification & Prediction Systems
👁️ Computer Vision (YOLO, CNN, OpenCV)
Product defect detection for factories
Vehicle & traffic monitoring (YOLOv11 – 95% accuracy)
Security camera analysis
Image classification & recognition
📄 AI Chatbots & Document Intelligence
AI Chatbots for websites & support
PDF & document Q&A systems (RAG + Ollama)
Knowledge-base bots for internal teams
Search inside thousands of documents
🌐 Web Scraping & Data Extraction
Lead generation bots
Real estate & e-commerce scraping
Business directory scraping
Automated data pipelines using:
Selenium
BeautifulSoup
Scrapy
📊 Data Dashboards & Reporting
Interactive dashboards (Streamlit, Plotly)
Sales, marketing, and operations analytics
KPI & performance tracking
🧠 Technologies I Use
Python • TensorFlow • PyTorch • Keras • Scikit-learn
YOLOv3–YOLOv11 • BERT • Transformers • RAG
Pandas • NumPy • SQL • Streamlit • OpenCV
💡 Why Clients Choose Me
✔ Business-focused AI (not just models)
✔ Clean, scalable code
✔ Real-world deployed systems
✔ Excellent communication
✔ Long-term support
🎯 Perfect If You Are:
A start-up needing AI automation
An e-commerce store wanting sales prediction
A real estate company needing lead scraping
A factory needing quality control via AI
A business wanting chatbots or data dashboards
📩 Send me a message and tell me your problem — I will design the AI solution.
I don’t just write code — I build systems that increase revenue, reduce costs, and automate operations using Machine Learning, Computer Vision, NLP, and Data Science.
💼 What I Can Build for You
🤖 AI & Machine Learning Solutions
Customer Churn Prediction – know which customers will leave before they do
Sales Forecasting (LSTM, Prophet) – predict future revenue & inventory needs
Sentiment Analysis (BERT, LSTM) – analyze customer reviews & feedback
Fraud & Risk Models
Classification & Prediction Systems
👁️ Computer Vision (YOLO, CNN, OpenCV)
Product defect detection for factories
Vehicle & traffic monitoring (YOLOv11 – 95% accuracy)
Security camera analysis
Image classification & recognition
📄 AI Chatbots & Document Intelligence
AI Chatbots for websites & support
PDF & document Q&A systems (RAG + Ollama)
Knowledge-base bots for internal teams
Search inside thousands of documents
🌐 Web Scraping & Data Extraction
Lead generation bots
Real estate & e-commerce scraping
Business directory scraping
Automated data pipelines using:
Selenium
BeautifulSoup
Scrapy
📊 Data Dashboards & Reporting
Interactive dashboards (Streamlit, Plotly)
Sales, marketing, and operations analytics
KPI & performance tracking
🧠 Technologies I Use
Python • TensorFlow • PyTorch • Keras • Scikit-learn
YOLOv3–YOLOv11 • BERT • Transformers • RAG
Pandas • NumPy • SQL • Streamlit • OpenCV
💡 Why Clients Choose Me
✔ Business-focused AI (not just models)
✔ Clean, scalable code
✔ Real-world deployed systems
✔ Excellent communication
✔ Long-term support
🎯 Perfect If You Are:
A start-up needing AI automation
An e-commerce store wanting sales prediction
A real estate company needing lead scraping
A factory needing quality control via AI
A business wanting chatbots or data dashboards
📩 Send me a message and tell me your problem — I will design the AI solution.
🖼️
Portfolio
🛠️
Offered services
I will do web scraping, data extraction, and process automation
I specialize in Python web scraping, data collection, and workflow automation using Selenium, Scrapy, BeautifulSoup, and Playwright.
150 $
I will analyze your data and build interactive dashboards in python
I turn messy raw data into clear, interactive dashboards that actually give you useful insights. I specialise in data cleaning, analysis, visualisation, and building custom Streamlit dashboards with ...
150 $
📋
Background
Product Review Sentiment Analysis Platform
Built end-to-end NLP classification pipelines to predict positive or negative product reviews from business
datasets.
• Cleaned and analysed review text, generating word-cloud visualizations to highlight the most common
positive and negative terms.
• Trained and compared models: Dense Keras (89% train / 50% test) and LSTM Keras (99% train / 83% test
accuracy).
• Delivered a Streamlit application that provides top product analytics and real-time sentiment prediction for
stakeholders.
datasets.
• Cleaned and analysed review text, generating word-cloud visualizations to highlight the most common
positive and negative terms.
• Trained and compared models: Dense Keras (89% train / 50% test) and LSTM Keras (99% train / 83% test
accuracy).
• Delivered a Streamlit application that provides top product analytics and real-time sentiment prediction for
stakeholders.
End-to-End Real Estate Data Pipeline & Analytics
• Developed a GitHub Actions workflow that scraped over 15,000 real estate listings hourly while following
rate limits and compliance rules.
• Built a Python (Pandas/NumPy) cleaning pipeline that removed duplicates, missing values, and inconsistent
formats, cutting data errors by 40%.
• Deployed a real-time Flask analytics dashboard that provides pricing trends, geographic heatmaps, and
predictive market insights with less than 2 seconds of latency.
• Maintained 98% pipeline uptime and reduced client teams’ manual data-entry workload by 80% after full
production integration.
rate limits and compliance rules.
• Built a Python (Pandas/NumPy) cleaning pipeline that removed duplicates, missing values, and inconsistent
formats, cutting data errors by 40%.
• Deployed a real-time Flask analytics dashboard that provides pricing trends, geographic heatmaps, and
predictive market insights with less than 2 seconds of latency.
• Maintained 98% pipeline uptime and reduced client teams’ manual data-entry workload by 80% after full
production integration.
CNN-Based Pest Identification System
• Developed and deployed a production CNN system that improved real-time pest detection accuracy by 22%
over baseline models.
• Curated and processed over 12,000 field images, addressing class imbalance and quality issues to create a
robust training dataset.
• Designed and fine-tuned four architectures (ResNet50, MobileNetV2, VGG16, and a custom lightweight CNN
optimized for edge deployment).
• Reduced false positives by 35% through careful data-leakage mitigation and class-specific fine-tuning,
achieving 94.7% accuracy on production test sets.
over baseline models.
• Curated and processed over 12,000 field images, addressing class imbalance and quality issues to create a
robust training dataset.
• Designed and fine-tuned four architectures (ResNet50, MobileNetV2, VGG16, and a custom lightweight CNN
optimized for edge deployment).
• Reduced false positives by 35% through careful data-leakage mitigation and class-specific fine-tuning,
achieving 94.7% accuracy on production test sets.
Freelance Python & Machine Learning Engineer
• Designed and trained machine learning models to predict customer churn on structured datasets, achieving
84% AUC. This helped clients identify and retain at-risk customers.
• Built LSTM and Prophet-based time-series forecasting models for retail sales, aiding accurate inventory
planning and demand forecasting for various clients.
• Used LSTM and BERT architectures for product-review sentiment classification, automating large-scale
customer feedback analysis and providing actionable product insights.
• Extracted and compiled targeted customer lists from property websites using BeautifulSoup and Selenium,
generating qualified leads for a real estate firm.
• Developed chatbots with TensorFlow/Keras, created interactive Streamlit and Plotly dashboards, and built
classification/forecasting models (XGBoost, Random Forest, neural nets) for different clients.
84% AUC. This helped clients identify and retain at-risk customers.
• Built LSTM and Prophet-based time-series forecasting models for retail sales, aiding accurate inventory
planning and demand forecasting for various clients.
• Used LSTM and BERT architectures for product-review sentiment classification, automating large-scale
customer feedback analysis and providing actionable product insights.
• Extracted and compiled targeted customer lists from property websites using BeautifulSoup and Selenium,
generating qualified leads for a real estate firm.
• Developed chatbots with TensorFlow/Keras, created interactive Streamlit and Plotly dashboards, and built
classification/forecasting models (XGBoost, Random Forest, neural nets) for different clients.
Diploma, Software Engineering
🇬🇧English
🕐
Working hours
Monday ▪ Today
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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