Freelancers using Jupyter in Faisalabad
Freelancers using Jupyter in Faisalabad
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Shakeel Ur Rehman
Faisalabad, Pakistan
AI/ML Engineer | Computer Vision | Agentic AI | OCR | YOLO
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AI/ML Engineer | Computer Vision | Agentic AI | OCR | YOLO
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End-to-End Telco Customer Churn Prediction System Developed and deployed a production-grade Machine Learning web application designed to predict telecom customer churn and identify key drivers of customer attrition. This project bridges the gap between data science research and real-world deployment by transforming a Jupyter Notebook workflow into an interactive, cloud-hosted web service. Key Technical Highlights & Workflow: Exploratory Data Analysis & Preprocessing: Conducted thorough EDA on customer behavioral data, handled missing values, encoded categorical features, and performed feature scaling to ensure robust model performance. Model Training & Hyperparameter Tuning: Trained multiple machine learning algorithms (including Random Forest, XGBoost, and Logistic Regression) and optimized hyperparameters to achieve high predictive accuracy and generalization. Model Explainability (SHAP): Integrated SHAP (SHapley Additive exPlanations) values to make complex model predictions transparent, helping stakeholders easily interpret feature impacts (such as tenure, monthly charges, and contract types) on individual predictions. Backend & API Architecture: Built a high-performance RESTful API using FastAPI to handle real-time inference requests seamlessly, coupled with a clean, responsive frontend user interface. Cloud Deployment & DevOps: Successfully packaged the application and trained model (.pkl), navigated serverless deployment constraints by leveraging container-based cloud infrastructure (Render), and ensured continuous availability. Tech Stack: Python, Scikit-Learn, XGBoost, Pandas, NumPy, FastAPI, Uvicorn, SHAP, HTML/CSS, Git, Render.
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App Name: GigPulse Category: 📊 Dashboard + 🤝 Social/Community What it does: GigPulse is a personal freelance project tracker built for independent professionals who juggle multiple platforms. Freelancers can log their projects, track earnings per platform, monitor project status, and attach video demos of their work all in one private dashboard. The community benchmarking layer lets users see anonymized stats from other freelancers in their niche, so you always know how you stack up. How I built on top of the AI-generated base: Bubble AI generated the core dashboard structure and data architecture. From there, I manually engineered the video upload and playback system per project, built privacy-filtered data workflows so each user only sees their own data, added platform-specific earnings tracking with status badges, and designed a clean dark UI with collapsible video players. The AI gave me the skeleton, I built the muscles. This is the Bubble AI-generated base after my initial prompt 'Build a freelance analytics dashboard app called "GigPulse" where freelancers can track their gigs, proposals sent, earnings per platform, client response rates, and monthly revenue goals. Include a community benchmarking section where users can see anonymized stats from other freelancers in their niche. Add user authentication, a personal stats dashboard with charts, a goal-setting tracker, and a community feed where freelancers share weekly wins.' Everything you see in the final build beyond this point was manually engineered.
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Sign Language Detection
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Intelligent Weapon Detection System For Banks, Shopping Malls, Schools etc, that detect and generate alert to the security team
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