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Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

📊 Data Scientist & Analytics Consultant | BSc Accounting & Finance | MSc Data Science | UK Based I help businesses stop guessing and start deciding with confidence. Whether you have data scattered across five systems, dashboards nobody trusts, or reports that take days to produce manually, I come in and sort it out – from the messy raw data all the way through to clear, reliable outputs that people actually use. 🔍 What I do ▸ Data audits and validation: tracing KPIs back to their source and confirming whether the numbers are right ▸ Unified reporting: building a single source of truth across multiple platforms and business systems ▸ Dashboard development: Power BI, Tableau, and Excel reporting that non-technical teams can read and act on ▸ Predictive modelling: forecasting, trend analysis, and performance models built in Python, R, and SQL ▸ Financial analytics: P&L, EBITDA, cash flow, debtor days, margin analysis and other finance KPIs ▸ Ad hoc analysis: quick, clear answers to specific business questions 🏢 Industries I have worked across ▸ Manufacturing (including a 40,000-employee global organisation) ▸ Digital and ecommerce ▸ Financial services and fintech ▸ Supply chain and operations ▸ Marketing and commercial 🎓 Background BSc Accounting and Finance: so I understand what the numbers mean to the business, not just how to calculate them. MSc Data Science: so I can get into the data, validate it properly, and build robust models and reporting on top of it. 8+ years working with multinational organisations across complex, multi-system environments. 🛠 Tools and technologies Python · R · SQL · Power BI · Tableau · Excel · Xero · JobLogic · various ERP and CRM platforms ✅ How I work I am based in the UK, work to strict deadlines, communicate clearly throughout a project, and deliver work I am genuinely confident in. If my output does not meet your expectations, I will make it right.

Research Publications | AI Development | Data Analysis I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio. What I Do: 📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis 🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact 🚀 Building models from scratch or optimizing existing ones Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics. Technical Skills: Languages: Python 🐍, R 📈 Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML Others: MATLAB, Git, Docker, Google Earth Engine Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics. Some highlights: Built deep learning models for drought prediction using 20 years of satellite data Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations Created an AI voice assistant for paramedics Built a real-time multi-camera object tracking system Developed a student pressure dashboard powered by D3.js Explored XAI methods (GradCam, SHAP, LIME) for model interpretability Implemented models for churn prediction and match outcome forecasting These projects combine machine learning, deep learning, and data science to deliver practical, impactful solutions. What I Offer: ✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions ✅ Deep Learning Architectures: Custom DL models tailored to your needs ✅ Python Programming: Clean, optimized code for ML & data science tasks ✅ Data Analytics & Visualization: Insightful analysis and compelling visuals ✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium Why Work With Me: ✨ Strong expertise in both ML and DL ✨ Clear communication throughout projects ✨ Fast delivery with professional support ✨ Focus on quality and client satisfaction I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results. Let's Work Together: If you need someone who can take your machine learning projects to the next level, I'm here to help turn your ideas into reality. 🚀

I build real-time AI systems that detect threats, track objects, and turn video into actionable insights ready for real-world deployment. If you need a reliable Computer Vision solution (not just a demo), I can design, train, and deploy it end-to-end. 🎯 What I Do I specialize in building production-ready Computer Vision systems that work in real environments not just controlled demos. From surveillance and safety to traffic analytics and automation, I help businesses turn video data into practical, usable intelligence. 🔧 Solutions I Build ✔ Real-Time Object Detection (YOLOv8 / YOLO11) ✔ Multi-Object Tracking (ByteTrack, DeepSORT) ✔ Surveillance & Threat Detection Systems ✔ Fire & Smoke Detection ✔ PPE / Safety Compliance Monitoring ✔ Traffic Monitoring & Speed Estimation ✔ OCR & Document AI ✔ End-to-End AI Systems (Data → Training → Deployment) 🧠 Why Clients Choose Me Most freelancers stop at training a model. I go further — I build complete systems that actually work in production. ✔ Optimized for real-time performance (high FPS, low latency) ✔ Designed for real-world conditions (low light, fog, motion blur) ✔ Strong focus on data quality & annotation (where most projects fail) ✔ Clean, scalable, deployment-ready code 💡 Most Computer Vision models fail outside the lab — I make sure yours doesn’t. 📊 Selected Projects 🔫 Real-Time Weapon Detection & Tracking AI-powered surveillance system for detecting and tracking firearms in live video streams → Helps improve security response time and monitoring 🔥 Real-Time Fire & Smoke Detection (107 FPS) Early hazard detection system designed for fast response in critical environments → Detects fire/smoke in real-time to reduce risk and damage 🦺 Construction Safety Monitoring (PPE Detection) Helmet detection system with live violation alerts → Improves worker safety and compliance on-site 🚗 Vehicle Speed Estimation System Tracking-based system for real-time speed analysis from video → Useful for traffic monitoring and smart city solutions ⚙️ Tech Stack AI / Deep Learning: PyTorch, YOLO (v8, v11), TensorFlow Computer Vision: OpenCV, real-time video processing pipelines Tracking: ByteTrack, DeepSORT Deployment: FastAPI, Flask, Docker, GPU acceleration Language: Python 🎬 What You Can Expect ✔ Demo available before starting ✔ Clean, well-documented code ✔ Fast communication & regular updates ✔ Scalable solutions ready for deployment ✔ Support with real-world challenges (lighting, motion, noise) 💡 How I Work I follow a complete pipeline: Data Collection → Annotation → Training → Optimization → Deployment You don’t just get a model you get a working system ready to use. 📩 Let’s Build Something Real Have an idea or project in mind? 👉 Send me a message I’ll break down the best approach and can even share a quick demo or plan before you commit.

🏆 Data Scientist and Machine Learning Engineer 💼 2+ Years of Experience In Data Science | | Data Analysis | Machine Learning | Deep Learning | Time Series Modelling Hi, I am Jazib, and here are 🌟 The reasons for You to Hire me?🌟 ✔ Collaborate closely to understand the problem domain. ✔ Propose potential solutions based on our understanding. ✔ Refine the solution until it meets your satisfaction. ✔ Verify the product and results with your requirements. ✔ Offer unlimited revisions until you are happy! Now, let me tell you about myself. I'm a seasoned Data Scientist and a Machine Learning Engineer with a background in software engineering and I bring over 2.5 years of hands-on experience developing end-to-end machine learning projects using TensorFlow, PyTorch, and Scikit-Learn. Throughout my career, I've successfully delivered multiple projects for clients, garnering praise for my abilities to not only build Machine Learning models but also make them impactful by making them transparent and usable for the layman. My principles are to use my expertise in Machine and Deep Learning to create impactful and yet useful models that can be deployed easily as well. My portfolio includes a diverse range of Projects, including: 🌟Data Agnostic Financial Time Series Forecasting (FinForecastHub) - Making a product that automates the collection, cleaning, and preprocessing of a company's financial data, and trains an automated deep learning-based time-series forecasting model whose architecture is completely generic and data agnostic. 🌟Credit Worthiness in Microfinance Banks using Explainable AI - a research project aiming at using Explainable AI / Trustworthy ML to make models that can do credit scoring of loan applicants. The project uses multiple machine learning models including ensembling and tree models like XGBoost to classify loan applicants and then makes models transparent for lay-man like Bank Employees using Explainable AI tools like SHAP, so that bank employees can trust the process. 🌟Food Calorie Estimation Using OpenCV and YOLO - using Image Processing and Object Detection techniques to classify foods and then predicting calories in those foods. The project aims to help people fight obesity, and keep track of their calories. 🌟Deep Learning for Time Series Financial Forecasting - a platform where business analysts can upload the company's financial dataset and our state-of-the-art (SOTA) non-transformer based deep learning models like TinyTimeMixer (TTM) on the backend will be trained on runtime and provide accurate financial forecasts on user interface. The project aims to reduce latency and provide accurate results given dataset of any nature (small or big, clean or uncleaned, processed or unprocessed). Additionally, I believe in following the industry process of software development that includes collecting user stories/requirements, doing extensive design planning, and then using best coding practices to develop a simpler and appealing solution, I also believe that user feedback is the most important element of software development that makes you create a useful effective product. Now, as I've discussed my projects and experience, I want you to know that if you're looking for a talented Data Scientist and a Machine Learning Engineer who can transform your requirements into real end-to-end product then I'm the choice. Let's connect so that I can get to know what you want!

I help businesses turn raw data, images, and operational problems into practical AI/data solutions that create measurable impact. I’m Gustavo, a Data Scientist and AI/Computer Vision Engineer with hands-on experience building real-world systems from idea to deployment. My focus is simple: understand the business problem, define clear metrics, prototype fast, and deliver solutions that actually work in production. What I can help you with Computer Vision & Edge AI I build real-time detection, tracking, OCR, and video analytics systems using YOLOv8, OpenCV, TensorRT, NVIDIA GPUs, Jetson, Raspberry Pi, and RTSP camera streams. I can help with people counting, object detection, sports analytics, surveillance analytics, quality control, and custom vision pipelines. Data Science & Machine Learning I work end-to-end with Python, SQL, Pandas, NumPy, scikit-learn, NLP, statistical analysis, predictive models, clustering, recommendation systems, and model evaluation. I can take messy data, clean it, structure it, extract insights, and build models that support better decisions. Dashboards & Business Insights I create clear reports and dashboards in Power BI, Excel, Google Sheets, and Python so teams can track KPIs, understand performance, and make decisions faster. Automation & Deployment I can integrate APIs, automate workflows, build REST/WS services, deploy models on cloud, edge, or on-premise environments, and set up simple monitoring so the system is reliable and easy to maintain. Why work with me? I don’t just build models. I build practical solutions. My approach is fast, clear, and focused on results: define the goal, build the solution, test it, measure it, and improve it. I’m comfortable working with both technical and non-technical teams, and I always aim to make complex AI/data work easy to understand and useful from day one.