Hire the Best Python Scikit-Learn Specialists

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. 🚀

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Are you looking for a Data Scientist who can transform your data into actionable insights and build AI solutions that solve real business problems? With 5+ years of professional experience, I specialize in developing end-to-end Data Science and Machine Learning solutions from data collection and preprocessing to model development, evaluation, and deployment. I have worked with startups, research teams, and businesses across multiple industries, helping them leverage data to make smarter decisions and automate complex workflows. My background combines strong analytical thinking with hands-on industry experience, allowing me to deliver solutions that are not only accurate but also scalable and production-ready. My Expertise, ✅ Data Science & Machine Learning ⦁ Predictive Modeling ⦁ Classification & Regression ⦁ Clustering & Segmentation ⦁ Feature Engineering ⦁ Model Selection & Optimization ⦁ Statistical Analysis ⦁ Time Series Forecasting ⦁ Model Evaluation & Deployment ✅ Artificial Intelligence ⦁ Machine Learning ⦁ Deep Learning ⦁ Computer Vision ⦁ Natural Language Processing (NLP) ⦁ Large Language Model (LLM) Applications ⦁ Retrieval-Augmented Generation (RAG) ⦁ AI Automation ✅ Python & Data Analytics ⦁ Python (Pandas, NumPy, Scikit-learn) ⦁ TensorFlow & PyTorch ⦁ SQL ⦁ Data Cleaning & Preprocessing ⦁ Exploratory Data Analysis (EDA) ⦁ Data Visualization (Matplotlib, Plotly) ✅ Data Engineering & Automation ⦁ ETL Pipelines ⦁ Apache Airflow ⦁ Airbyte ⦁ API Integration ⦁ AWS ⦁ Workflow Automation 💼 Recent Projects ✔ Developed machine learning models for agricultural spectroscopy to predict moisture content and chemical properties from NIR spectral data. ✔ Built an AI-powered WhatsApp customer support system using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). ✔ Designed and automated scalable ETL pipelines using Apache Airflow and Airbyte for ingesting and processing data from multiple APIs. ✔ Developed deep learning models for medical image analysis, including diabetic retinopathy detection. ✅ Why Clients Choose Me * 5+ years of industry experience in Data Science and Artificial Intelligence. * Strong expertise in Machine Learning, Deep Learning, NLP, and Python. * Experience building production-ready AI solutions, not just research prototypes. * Clean, maintainable code with a focus on performance and scalability. * Clear communication, timely delivery, and long-term client relationships. Whether you need to build a predictive model, develop an AI-powered application, automate data workflows, or extract valuable insights from your data, I'm committed to delivering solutions that create measurable business value. Let's discuss your project and build something impactful together!

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝟓𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I am an AI/ML engineer specializing in end-to-end artificial intelligence development — from concept to deployed, scalable systems that solve real business problems. With 8+ years building machine learning, deep learning, and generative AI solutions for global clients (including Huawei and Turing), I deliver reliable, production-grade systems — not just prototypes. 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✓ Full-stack AI delivery: requirements → architecture → deployment → maintenance ✓ Battle-tested across 50+ international projects ✓ Focus on business impact, not just technical complexity ✓ Clear communication and rapid iteration cycles 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Computer Vision & Image Processing: Object detection | Image classification | ANPR systems | Face recognition | Video analytics | Image segmentation | OCR | Real-time tracking Natural Language Processing & LLMs: Chatbot development | RAG systems | LLM fine-tuning | Text generation | Sentiment analysis | Document summarization | Named entity recognition | GPT/Claude integration Audio & Speech Technologies: Automatic speech recognition (ASR) | Text-to-speech (TTS) | Speaker identification | Audio classification | Voice cloning | Noise reduction 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:Python | TensorFlow | PyTorch | Keras | Scikit-learn | Hugging Face | LangChain | OpenAI API | FastAPI | Flask | Docker | AWS | Azure 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡:I take full ownership — understanding your use case, recommending the right approach, building the solution, and ensuring it works reliably in production. You get working software, comprehensive documentation, and post-deployment support. 𝐈𝐝𝐞𝐚𝐥 𝐅𝐨𝐫: Custom AI model development and training ML pipeline design and automation API development and third-party integration Proof-of-concept to production scaling Legacy system modernization with AI Let's discuss how AI can create measurable value for your business. Message me with your project details, and I'll respond with relevant examples and a clear path forward.

Build production machine learning systems: forecasting, NLP, computer vision, and tabular models, plus the MLOps to deploy and monitor them, so the model keeps working after it ships. Machine Learning Engineer with 8+ years taking ML projects from raw data to live deployment in Python and AWS. Shipped models across telecom, automotive, energy, renewables, shipping, and e-commerce: demand forecasting, customer scoring and segmentation, anomaly detection, NLP, and decision automation. 🔑𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive modeling, classification, regression, forecasting, time series, clustering, anomaly detection, recommendation systems, feature engineering 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, Pandas, NumPy, Scikit-learn, statistical analysis, data wrangling, EDA, A/B testing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏 & 𝐂𝐕: TensorFlow, PyTorch, neural networks, text classification, embeddings, image classification, object detection 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝: AWS (SageMaker, EC2, S3, Lambda), Docker, MLflow, CI/CD, model deployment, monitoring, scalable pipelines 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Flask, Django, REST APIs, n8n, Zapier, Make, webhooks 𝐀𝐈, 𝐋𝐋𝐌 & 𝐁𝐨𝐭𝐬: GPT-4, Claude, RAG, LangChain, LangGraph, vector databases, prompt engineering, AI agents, chatbot development, conversational AI, Telegram/Discord/Slack bots Tell me your data and the outcome you need. I'll reply with how I'd approach the model and a rough timeline, so you know what working with me looks like before you commit.

Lead AI/ML Engineer & Data Science Lead proficient in building scalable AI systems, LLM-powered applications, and production-ready SaaS platforms that handle real-world data, workflows, and automation at scale. I work across the full product lifecycle — from designing backend architecture and ML/AI models to building user-facing applications and deploying on cloud. With a strong foundation in data science, I focus on turning raw data into intelligent, production-ready systems that deliver real business value. Whether it’s an AI-driven platform, automation system, intelligent assistant, or data-heavy application — I build complete, end-to-end solutions. 🚀 Core Expertise 🔹 Backend & APIs Python | FastAPI | Django | Flask | Node.js REST APIs | GraphQL | Microservices | WebSockets | AsyncIO | Celery 🔹 AI/ML & Generative AI Machine Learning | Deep Learning | PyTorch | TensorFlow | scikit-learn | NLP LLMs (GPT-4/4o, Claude, Gemini, Mistral, LLaMA) RAG Pipelines | AI Agents | Multi-Agent Systems | LangChain | LangGraph | LlamaIndex Prompt Engineering | Fine-tuning | Embeddings | Semantic Search | Guardrails 🔹 Data Science & Analytics Statistical Modeling | Predictive Analytics | Time-Series Forecasting (ARIMA, Prophet, XGBoost) Anomaly Detection | Classification & Regression Models | Feature Engineering Model Evaluation & Optimization | A/B Testing | Data Visualization (Matplotlib, Seaborn, Tableau) Business Intelligence & Decision Systems 🔹 Intelligent Systems & Data Handling Structured & Unstructured Data Processing | Document AI | OCR | NLP Pipelines Text-to-SQL | Knowledge Retrieval Systems | Context-aware AI Workflows 🔹 Frontend Development React | Next.js | TypeScript | JavaScript | Redux | TailwindCSS Responsive UI | SPA | SSR 🔹 Vector Databases & Search Pinecone | Weaviate | Milvus | FAISS Semantic Search | Knowledge Bases | AI Assistants 🔹 Databases & Caching PostgreSQL | MySQL | MongoDB | Redis | Elasticsearch Query Optimization | Indexing 🔹 Cloud & DevOps (Production Systems) AWS (EC2, S3, Lambda, ECS, RDS) | GCP Docker | Kubernetes | CI/CD | GitHub Actions | Linux | Nginx | Monitoring & Logging 🔹 Data Engineering & Pipelines ETL / ELT | Airflow | Kafka | Data Pipelines Web Scraping | Automation Systems | Batch & Real-time Processing 🧠 What I Build ✔ AI-powered SaaS platforms ✔ LLM-based assistants and copilots ✔ RAG-based knowledge systems ✔ AI agents & workflow automation systems ✔ Data science-driven decision systems ✔ Predictive analytics & forecasting models ✔ Document processing & intelligent data systems ✔ Scalable backend architectures & APIs ✔ Real-time systems & streaming applications ✔ End-to-end cloud-deployed products 🏆 Why Clients Work With Me ✔ Strong ownership — from idea to production ✔ Deep experience across AI, ML, and Data Science (not just prototypes) ✔ Clean, scalable architecture with long-term maintainability ✔ Ability to handle backend, AI, data, and deployment in one place ✔ Focus on performance, reliability, and real business outcomes 📈 Tech & Keywords AI Engineer, Lead AI Developer, Data Scientist, Python, FastAPI, Django, React, Next.js, LLMs, OpenAI, Claude, RAG, LangChain, LangGraph, Vector DB, AI Agents, Machine Learning, Deep Learning, NLP, Data Science, Forecasting, XGBoost, Prophet, ETL, Kafka, PostgreSQL, Redis, Docker, Kubernetes, AWS, GCP, CI/CD, SaaS Development 📩 Let’s Build Something Solid If you’re looking for someone who can take full ownership of your AI product — from data and models to backend and deployment — and build something that actually works in production, let’s connect.