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.

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.

I am an educated data scientist & ML engineer who has worked in academia teaching Algorithms, machine learning and AI. I've been programming in python daily for over 3 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in python. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Some of the projects I have done are: • Computer Vision • Regression modeling • Machine learning and various statistical models in big data • Computer vision • Predictive Analytics • Natural Language Processing Tech stack: Keras, Python, SQL, TensorFlow, PyTorch, Scikit-learn, Spark, PennyLane

🏆 Certified Data Scientist and ML Engineer with a proven track record in developing robust machine learning, deep learning, computer vision, and audio processing solutions. 🎯 Efficient, Timely, and Results-Driven Services in the Following Fields: ☑ 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 • Processing images and videos, including frame extraction. • Creating clean datasets for model training and testing. • Building object detection models from scratch. • Transfer learning and model fine-tuning. • Hyper-parameter optimization. • Evaluating models with real-world data. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, OpenCV, PIL, Scikit-learn ☑ 𝗔𝘂𝗱𝗶𝗼 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Processing raw audio files and cleaning noise. • Generating spectrograms, mel-spectrograms, and MFCCs. • Creating and fine-tuning audio classification models. • Utilizing transfer learning for improved performance. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, Librosa, Matplotlib, Scikit-learn ☑ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Balancing datasets and removing irrelevant samples. • Conducting exploratory data analysis. • Extracting business and scientific insights. • Visualizing data with scientific plots and diagrams. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn ☑ 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Expertise in image processing, including medical imaging (e.g., mitosis detection in WSI). • Building and fine-tuning DL models. • Deploying models into applications using transfer learning. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Tensorflow, Numpy, Matplotlib, YOLO, OpenCV, Laravel, PHP I am committed to transparent communication and timely delivery of results. I strive to exceed client expectations and ensure satisfaction. Feel free to contact me to discuss potential collaborations. I look forward to working with you! Thank you! 🙏🏼😊

🚀Unlocking the Power of Data: Expert Data Scientist at the ready ⭐️Crafting Data Stories with Python and Precision 🕒 4+ Years of Specialized Experience ✅ Numerous Successful Projects across AI, ML, NLP, and Computer Vision ✅ Driving Innovation with Data-Driven Solutions With more than 4 years of experience in data science, I specialize in machine learning, AI, NLP, and computer vision. My expertise has been applied in a range of projects, from working with dynamic startups to collaborating with established industry leaders. I've led initiatives that improved business intelligence and introduced AI-driven innovations. My skills in Python, TensorFlow, PyTorch, and Keras enable me to develop advanced data models that guide strategic decision-making and foster innovation. My roles at Educative.io and Ekkel AI have established me as a notable contributor to data science education and the advancement of technology. My work has had a significant impact in both academic settings and practical industry applications. I am passionate about transforming complex data into powerful tools that enhance performance, unlock new opportunities, and deliver value to businesses. I approach every project with a focus on delivering strategic insights, working collaboratively to meet project objectives, and maintaining a commitment to meet deadlines with precision. My goal is to use data science to advance your projects, overcome challenges, and turn data into a valuable asset. Let's connect to transform your projects with data-driven insights and innovative solutions.