🥇Top 1% Data Engineer and Analytics Specialist 🎓 Master’s in Data Science | University of Coventry, UK 🎯 Trusted by clients like Microsoft and Windsor.ai, I help businesses build scalable data pipelines and analytics that empower smarter decisions. As a Senior Data Architect, I have 7+ years of experience in developing ETL pipelines, large-scale data engineering infrastructures, data mining, and warehousing projects. Further, I have managed and successfully deployed multiple data analytics projects, followed by expert MLOps services for maintaining the integrity and performance of various models in production. ✔️ ETL and Warehousing Services • I have developed and deployed complex data mining architectures involving hundreds of websites and millions of records, coupled with scraping solutions addressing JS, login/authentication, CAPTCHA, ReCAPTCHA, IP blacklisting, User-Agent Rotation, etc. • I'm highly skilled in Python, Scrapy, Beautiful Soup, Selenium, Splash, Regular expressions, XPath, JS, and AJAX. ✔️ Data Engineering Services • I have developed robust data pipelines, capable of continuous and extensible data processing. • I have implemented end-to-end solutions catering to diverse data sources, deployed on cloud/servers via cron jobs/automated services. ✔️ Data Science and Analytics Services • I offer expert data analysis for extracting key insights and complex correlations. Further, I can help identify key metrics for performance optimization across various niche. • I provide real-time BI services based on crafty yet simplistic visualizations across various platforms such as Google Data Studio, PowerBI, Tableau. • I have deployed multiple data science solutions in production based on complex statistical models and ingenious feature engineering, which provide insightful forecasting and predictive analytics. • I offer expert MLOps services for developing and optimizing in-production ML pipelines, impervious to data drift/leakage. I build optimal solutions for my valued clients across a diverse array of SMEs, following the best Software Engineering practices based on smart Requirement Analysis and industrious Quality Assurance. Keywords: Python, Google Data Studio, Google Analytics, Google Tag Manager, Tableau, MLflow, TensorFlow, R, Data Pipelines, ETL, Data Engineering, Data Extraction, Data Mining & Warehousing, Scrapy, Selenium, BeautifulSoup, Automation, Scrapers, NumPy, Pandas, NLP, Data Analytics, Forecasting.

Most data just sits there doing nothing. I make it work. I'm a Senior AI/ML engineer and data scientist with 10+ years designing intelligent, end-to-end solutions that save clients time, reduce errors, and uncover insights they didn't know they were sitting on. I bridge the gap between raw data and real results — combining advanced analytics with powerful automation to build systems that don't just work once in a notebook, but run quietly every day and earn their keep. I've shipped machine learning models, analytics workflows, and large-scale data pipelines for names like Dr Pepper, Mitel, and Sub-Zero Wolf, plus independent clients across real estate, marketing, and operations. Hand me a vague problem and a pile of messy data — that's exactly where I do my best work. I bring speed, precision, and adaptability to every project. What I bring to your project: • Machine Learning & AI — Predictive modeling, classification, forecasting, customer segmentation, image classification, and decision-support systems using scikit-learn, TensorFlow, and PyTorch. Comfortable across the full ML lifecycle: framing, feature engineering, training, evaluation, and deployment. • Agentic AI & LLM Systems — Autonomous AI agents and multi-agent workflows that plan, reason, and take action end-to-end. Building with LangChain, LangGraph, and the OpenAI/Anthropic APIs, plus RAG pipelines, vector databases (Pinecone, Chroma), tool/function calling, and MCP integrations that connect LLMs directly to your data and systems. • Data Science & Analytics — Statistical analysis, time-series forecasting, A/B testing, exploratory data analysis, and KPI tracking that translate numbers into clear, actionable insight. • Automation & Workflow — n8n, Make, ElevenLabs, Retell.ai, Custom Python tools, browser automation, API integrations, and Docker-based pipelines that eliminate repetitive manual work and run hands-free. • Web Scraping & Data Collection — Large-scale, structured extraction from public directories, social platforms, e-commerce catalogs, and APIs (Selenium, BeautifulSoup, Scrapy). • Data Engineering & Pipelines — Cleaning, validation, deduplication, and transformation into analysis-ready datasets; end-to-end ETL/ELT orchestration with Airflow. • Visualization & Reporting — Decision-ready dashboards and reports in Tableau, Power BI, and Python (Matplotlib, Plotly), Looker studio. • Enterprise Platform — Microsoft Copilot Studio, Salesforce, Google Vertex AI, AWS Bedrock, Azure AI, UiPath Select results: • Automated a real estate firm's invoice processing, cutting a 4-person workload by ~90%. • Built an image analytics pipeline for a major beverage brand to identify the content elements that drive engagement. • Scraped and structured 500k+ Instagram images for model training and analysis. • Delivered high-value datasets powering corporate marketing, sales targeting, and geographic analysis. Technical toolkit: • Languages: Python, SQL, Bash, R • AI/ML: scikit-learn, TensorFlow, PyTorch, Keras, computer vision, NLP fundamentals • Data Science: pandas, NumPy, statistical modeling, forecasting, A/B testing, feature engineering • Automation & Scraping: Selenium, BeautifulSoup, Scrapy, API integrations, RPA-style workflows • Data Engineering: Apache Airflow, ETL/ELT, SQLAlchemy, PostgreSQL, SQLite • Backend: Flask, REST APIs • DevOps & Tools: Docker, Git, Jupyter, Postman, Linux, pytest • Visualization: Tableau, Power BI, Matplotlib, Plotly, Looker Studio Let's build something that works smarter, faster, and delivers results you can measure. Tell me what you're trying to accomplish, and I'll show you exactly how I'd approach it.

A Quantitative Researcher/Developer who backtests and optimizes trading strategies as per client requirements and gives life to the client's strategy by deploying on their preferred broker api in Python and makes it fully automatic, you just need to watch your strategy working for you. Sounds Cool and Interesting, na! What can I do for you in short ? 1) Backtest your strategy on years of data, and provide its insights 2) Creating a Full Backtesting Engine 2) Optimize the Parameters of your Strategy to get better results 3) Automate and integrate your strategy with your preferred broker, and also deploy it on the cloud to make it fully automatic and work smoothly 4) Build a Dashboard/Web UI for Tracking your Strategy 5) Build an Interactive GUI or Customized Trading Tools with which you can perform semi-automatic trading

I am an AI/ML developer specializing in Computer Vision, Embedded AI, and real-world automation systems. I work with startups, researchers, and small businesses to design and deploy practical machine learning models that solve real operational problems. With a Bachelor's degree in Computer Engineering (Nanotechnology option) from the University of Alberta, I have hands-on experience with: 1) Object Detection and Face Recognition using OpenCV and YOLO 2) Embedded AI solutions using TensorFlow Lite on Raspberry Pi and Arduino 3) GPT/LLM integration for custom chatbot and PDF summarization tools 4) Automation pipelines using Python, Pandas, Scikit-learn, and Flask 5) Dashboard development with Streamlit and model deployment via APIs I focus on clear code, real results, and business-driven AI—not just academic models. Whether you need help with a one-time project or a long-term collaboration, I deliver production-ready, well-documented solutions with a strong understanding of both software and hardware aspects. Let’s connect if you’re looking for an AI partner who understands systems from edge devices to APIs.

I build algorithmic trading systems that execute reliably in live markets, across multiple asset classes and platforms. I’m a Python-based Algo Trading Developer with experience in Crypto, Forex, Options, Futures, and US Equities, integrating with brokers and platforms like MetaTrader (MT4/MT5), Interactive Brokers (IBKR), Charles Schwab, and major crypto exchanges. Core Expertise Trading Bots & Execution Systems (REST/WebSocket APIs, low-latency design) Backtesting Engines (realistic fills, slippage, commissions) Signal & Indicator Development (multi-indicator + order book logic) Strategy Optimization (parameter sweeps, performance tuning) Market Data Processing (tick, depth, and high-frequency data) Exchange & Broker Experience I’ve worked with a wide range of APIs and execution environments, including: Centralized crypto exchanges (spot & derivatives) Broker APIs for equities, options, and futures MetaTrader environments (MT4/MT5) Custom data pipelines for real-time and historical data Tech Stack Python, Pandas, NumPy, WebSockets, REST APIs Django / Backend Systems PostgreSQL / MongoDB AWS / GCP Approach I don’t just “code bots”, I build systems that handle real-world trading conditions: latency, partial fills, liquidity constraints, and execution edge cases. If you need someone who understands both market behavior and system design, I can help.

Before you put real capital behind a strategy, you want someone whose job is to try to break it. I build and audit backtests that account for what quietly kills live performance: look-ahead bias, survivorship, optimistic fills, fee drag, and overfit parameters. What I do: • Backtest & Strategy Validation: Rules-based strategies across equities, options, futures, and crypto. I'll test any market except prediction markets. You get a reproducible codebase, a written assumptions document, and diagnostics that tell you whether the edge is real: walk-forward analysis, in-sample / out-of-sample results, scenario / regime stress tests and parameter-stability checks. • Backtest & Platform Audits: A second opinion before you launch your platform, scale capital into a strategy or trust a backtesting tool. I look for the bugs and biases that inflate results or mislead users, and I document each one with its measured impact on the numbers. • Hedging & Risk Overlays: Delta hedges, band/regime-based hedging policies, funding/carry modeling, and PnL decomposition. How much of your results comes from edge vs. fees vs. hedge vs. carry vs. costs? • From Validated to Live: A strategy that survives testing shouldn't stay in a notebook. I build the path to automation: point-in-time-correct datasets, broker and data-vendor API integrations, and scheduled jobs with executions tested live. The result: a validated strategy moved from research into a running, monitored system. Most engagements start with a small fixed-scope pilot: a single, defined deliverable at a fixed price, so you can judge the work before committing your capital or deciding to dive deeper. Your strategy and IP stay yours; I'm comfortable signing an NDA before you share anything. If your strategy doesn't survive honest testing, I'll show you exactly where it breaks and why. It's better to learn in testing than to discover it with live capital. My Background Since 2018 I've built and validated trading systems for small funds, prop traders, and private traders. Along the way I co-founded ComhlaTech, a predictive-analytics trading strategy company, where I advised on strategy and risk. I trade my own capital and have passed funded-trader evaluations at FTMO and Topstep. Tools & Skills Backtesting • Python • Pandas • NumPy • Time-Series Data • ETL • SQL • API Integration • Automation • Statistical Analysis

👋 Hi, I’m Salmen Abbes, a Python & AI developer with expertise in software development and AI-powered solutions. Here’s what I bring to the table: - 💻 Software Development: Expertise in building Python microservices, React, Angular, and NestJS applications. - 🤖 AI & Data Processing: Proficient in extracting equations from diverse data formats using AI tools like Mistral AI, GPT-4o, Azure AI Services and Tesseract OCR. - 🚀 Project Deployment: Skilled in Dockerization, Terraform, GitHub Actions, and Azure for seamless production-ready systems. - 🌐 API Design: Skilled in FastAPI, Socket.IO, and creating efficient API gateways. Let’s collaborate to bring your ideas to life with precision and innovation! 🚀

As a seasoned professional with over eight years of industrial experience in software engineering, computer vision, and deep learning, I have successfully navigated a variety of projects. These endeavors have encompassed the development of reporting tools, AI applications for processing images, point clouds, and audio, a framework to enable AI on edge devices, and generative AI applications. The following skills demonstrate my versatility and expertise in the fields of software engineering, AI, and computer vision: • Software Engineering: Extensive experience in software development using C++ and Python. Deployed applications on Windows, Ubuntu, and Android platforms. • Deep Learning: With expertise in deep learning techniques, well-versed in creating computer vision applications like classification, object detection, segmentation, and anomaly detection using OpenCV, Keras, TensorFlow, PyTorch, ONNX, TFlite, Numpy. • Generative AI: 3D model generation from text prompts, Image generation - Stable diffusion. • AI Model Deployment: Deployed AI models on various platforms, from cloud to resource-constrained edge devices, ensuring their practical application using ONNX, TFlite, Docker, Quantization and Pruning, and model inference analysis. My commitment to excellence and my ability to transform concepts into solutions using cutting-edge technology makes me the ideal freelance partner for your next project. Let's collaborate to turn your ideas into innovative realities. Best, Thomas.

Hi, I'm Nader 👋 Power BI Developer and Data Analyst with 4+ years of experience helping businesses turn raw data into clear, revenue-driving decisions — with 28 completed jobs and a 5.0 rating on Upwork. From interactive Power BI dashboards and complex DAX measures to SQL pipelines, ETL design, and Microsoft Fabric data engineering — I handle the full analytics lifecycle so you get answers, not just numbers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 WHAT I DO: ✅ Power BI Dashboard Development Interactive, real-time Power BI dashboards with advanced DAX measures, clean data models, and KPI tracking tailored to your business goals. I build reports that non-technical stakeholders can use confidently — not just pretty charts. ✅ Data Analysis & Business Intelligence SQL querying and optimization (MS SQL, MySQL, BigQuery), data storytelling, and KPI reporting that connects operational data to strategic decisions. My dashboards have passed formal governance reviews and are used in production by operations, finance, and sales teams. ✅ ETL Pipelines & Data Transformation Turning messy, inconsistent data from multiple sources into clean, analysis-ready tables. Proficient in Power Query (M Language), SQL stored procedures, and ETL/ELT best practices. I've built integrations between ServiceM8, Xero, GA4, and Power BI — handling complex cross-system mappings and data reconciliation. ✅ DAX & Data Modeling Writing and optimizing advanced DAX formulas, building Star Schema models, and designing semantic layers that scale. I build data models that are deterministic, governance-ready, and maintainable. ✅ Marketing Analytics — GA4 & Looker Studio Connecting GA4 and web data to business KPIs — traffic, conversion, funnel performance, and ROI reporting using Looker Studio and Power BI. ✅ Microsoft Fabric & Data Engineering End-to-end pipeline design in Microsoft Fabric using Medallion architecture (Bronze → Silver → Gold). I ingest data from APIs and external sources, orchestrate with ForEach pipelines, and transform with PySpark notebooks — delivering Gold-layer tables ready for Power BI. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 WHAT CLIENTS SAY ⭐⭐⭐⭐⭐ "Nader has been a fantastic delivery partner on our Power BI and ServiceM8 KPI dashboard project. He's highly capable technically, very responsive, and puts real care into building things properly rather than cutting corners. Across Phase 3 and Phase 4 he implemented complex KPI logic, cross-system mappings between ServiceM8 and Xero, and a growing data model that now gives us meaningful, decision-grade insight into our finance, sales, and maintenance performance." ⭐⭐⭐⭐⭐ "Very professional freelancer and committed to providing a quality service." ⭐⭐⭐⭐⭐ "Nader is a very professional and impressive data analyst and visualization expert. He integrated well with our team and built strong visualizations and analytics that wowed our clients." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ TECHNICAL SKILLS Analytics & Visualization Power BI · DAX · Power Query (M Language) · Looker Studio · Google Data Studio · Tableau · GA4 · Microsoft Excel · Google Sheets Data & Databases MS SQL · MySQL · Google BigQuery · ETL/ELT Pipelines · Data Modeling · Star Schema · KPI Reporting Data Engineering Microsoft Fabric · Lakehouses · Warehouses · Medallion Architecture · PySpark · Python (Pandas, NumPy) · Azure Data Factory · Synapse · Data Lake Gen2 · API Integration · Git ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ WHAT YOU CAN COUNT ON → 28 completed jobs · 5.0 average rating · Governance-ready deliverables → Clear communication — no surprises, no ghosting → On-time delivery with attention to the details that matter → An analyst who understands your business context, not just your dataset → Clean, maintainable work you can build on after the project ends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📞 FREE 30-minute discovery call — message me to book. Let's turn your data into your competitive advantage.

I build production-ready Computer Vision, Generative AI, and Data Science systems that solve real business problems, from object detection pipelines and LLM-powered RAG applications to intelligent AI agents that automate complex workflows. Top Rated AI/ML Engineer with 5+ years delivering end-to-end solutions using PyTorch, YOLO, LangChain, OpenAI API, and Anthropic API. I've shipped defect detection models for manufacturing floors, built RAG chatbots that sit on top of company knowledge bases, designed fraud detection pipelines for fintech clients, and deployed AI agents that replaced hours of manual work. Every project I take on goes from problem to working, deployed system, not just a Jupyter notebook. I communicate clearly, deliver on time, and care about your outcome as much as the tech behind it. 👁️ Computer Vision: • Object Detection & Tracking (YOLOv8, YOLOv9, YOLOv11, SSD, Faster R-CNN, DETR) • Image Segmentation (Semantic, Instance, Panoptic, SAM, SAM 2) • OCR & Intelligent Document Processing (TesseractOCR, EasyOCR, PaddleOCR, DocTR) • Face Recognition, Facial Attribute Analysis & Emotion Detection • Vision Language Models (CLIP, BLIP, Florence, GPT-4V, Gemini Vision) • Image Enhancement, Super-Resolution & Visual Search • Video Analysis & Real-time Object Tracking (DeepSORT, ByteTrack, BoT-SORT) • AI Image Generation & Editing (Stable Diffusion, ControlNet, Inpainting) • CNNs, Vision Transformers (ViT), EfficientNet & Transfer Learning • Visual Inspection & Defect Detection for Manufacturing & Quality Control • Medical Image Analysis & Document Parsing • Multimodal AI Systems (combining vision, text & audio) 🤖 Generative AI & LLMs: • RAG (Retrieval Augmented Generation) Pipelines & Knowledge Bases • LLM Fine-tuning (LoRA, QLoRA, PEFT, RLHF, DPO) • Prompt Engineering & Optimization • OpenAI API (GPT-4, GPT-4o, GPT-5), Anthropic API (Claude), Google Gemini • Open-source LLMs (Llama 3, Mistral, Qwen, Phi, DeepSeek, Gemma) via Hugging Face Transformers • Custom AI Chatbot Development & Virtual Assistants • LangChain, LlamaIndex, Haystack • AI Integration into Existing Systems & Workflows • Speech-to-Text (OpenAI Whisper) & Text-to-Speech (TTS, ElevenLabs) • Embedding Models & Vector Search • Document AI: Extraction, Parsing & Intelligent Processing 📊 Data Science & Machine Learning: • Exploratory Data Analysis (EDA) & Feature Engineering • Predictive Modeling, Forecasting & Predictive Analytics • Classical ML (XGBoost, LightGBM, CatBoost, Random Forest, SVM, KNN) • Time Series Analysis, Forecasting & Anomaly Detection • Classification, Regression & Clustering • Model Evaluation, Selection & Hyperparameter Tuning • Data Preprocessing, Cleaning & Wrangling • Data Visualization & Dashboards (Matplotlib, Seaborn, Plotly) • Fraud Detection & Risk Analysis • Recommendation Systems 🔄 AI Agents & Automation: • Agentic AI Workflows (LangGraph, CrewAI, AutoGen, Agno) • Multi-Agent Systems & Tool-Use Agents • Model Context Protocol (MCP) Integrations • AI-powered Workflow Automation (n8n, Make, Zapier) • End-to-end Pipeline Orchestration & AI Integration • Autonomous Task Execution & Decision-Making Systems • Voice AI Agents (VAPI, Bland AI) ✅ Tech Stack: ➼ Languages: Python ➼ ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers ➼ Computer Vision: OpenCV, Ultralytics (YOLO), PIL, TesseractOCR, EasyOCR, PaddleOCR, Roboflow ➼ GenAI / LLM: LangChain, LlamaIndex, LangGraph, OpenAI API, Anthropic API, Hugging Face ➼ Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scipy ➼ API & Deployment: Flask, FastAPI, Docker, Streamlit, Gradio ➼ Cloud: AWS (SageMaker, EC2, S3, Lambda), Azure, GCP ➼ Databases: Pinecone, ChromaDB, Faiss, Weaviate, PostgreSQL, MongoDB ➼ MLOps: MLflow, Weights & Biases, Model Versioning & Monitoring ➼ IDE: VS Code, PyCharm, Jupyter Notebook, Google Colab 🚀 Why work with me: Production-Focused: I don't just prototype, I ship deployed, working systems that integrate with your workflow and deliver measurable value. Results-Driven: Every project starts with your business goal. Whether it's automating visual inspection, building a smart chatbot, detecting fraud, or extracting insights from documents, the model is a means to your outcome. Modern & Current: The AI field moves fast and so do I. I stay on top of what actually works, LLMs, RAG, AI agents, vision-language models, multimodal AI, so your solution uses cutting-edge approaches, not outdated ones. Clear Communication: Top Rated with a strong Job Success track record. I communicate clearly, meet deadlines, and treat every project as a real partnership. 🤝 Let's work together to push the boundaries of what's possible!