Top-Rated AI/ML Engineer with 7+ years building intelligent, scalable web applications and AI-powered automation systems. I specialize in integrating Large Language Models (LLMs), machine learning pipelines, and conversational AI into production-grade platforms across healthcare, finance, eCommerce, SaaS, and logistics. Core Expertise: - AI/ML Development: Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, scikit-learn, RAG pipelines, vector embeddings, prompt engineeringPython, - Chatbots & Conversational AI: AI agent development, NLP, intent classification, multi-turn dialogue systems, automated workflow routing - Full-Stack Development: Ruby on Rails, Node.js, FastAPI, React.js, Vue.js, Angular, REST APIs, GraphQL, microservices - Backend & Databases: PostgreSQL, MySQL, MongoDB, Neo4j, Redis, SQL, NoSQL, scalable architecture - Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD, MLflow, Airflow - Automation & Integration: n8n, Zapier, Make(Dot)com, API integrations, webhook handling, ETL pipelines Key Projects: - OmniBot – AI-powered HR automation chatbot processing 10,000+ documents with multi-agent coordination and intelligent routing - AI-Driven PC Part Compatibility Chatbot – ML-based recommendation engine using Random Forest and SVM - Employee Attrition Prediction Chatbot – Predictive modeling with EDA and feature engineering for workforce insights - AI Mechanical Advisor – RAG-based car parts chatbot with intelligent database search and expert recommendations - I deliver end-to-end AI solutions, from data preprocessing and model development to deployment and optimization, combining clean code, modular architecture, and performance-first engineering with cutting-edge AI capabilities. Top-Rated Plus | $400K+ Earned | 100% Job Success | 12,565+ Hours | 0-4 Hour Response Time

Struggling to deploy reliable AI systems that scale? My name is Caleb, a 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐌𝐋𝐎𝐩𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 who has successfully delivered 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 improving efficiency and automation. I specialize in end-to-end AI project lifecycle management, deep learning, and cloud deployment to boost your product's intelligence and performance. 𝐇𝐎𝐖 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Expert design and training of custom AI models including LLMs, computer vision, and NLP tailored to your needs. 𝐌𝐋𝐎𝐩𝐬 & 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 End-to-end deployment, monitoring, and optimization of scalable AI solutions with CI/CD and cloud integration. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 Creation and management of high-quality datasets plus insightful data analysis and predictive modeling. 𝐅𝐮𝐥𝐥𝐬𝐭𝐚𝐜𝐤 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Building robust AI-powered web and desktop applications using Python, JavaScript, React, and Flask. 𝐂𝐮𝐬𝐭𝐨𝐦 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Implementing generative AI and multi-agent systems to automate complex workflows and boost efficiency. ====================== 🌟 WHAT CLIENTS SAY 🌟 ====================== ❝ Caleb was beyond excellent throughout the entire process. Not only was he fast, but he was also very responsive to messages and provided updates regularly. I will definitely be working with him again in the near future. ❞ – Haley N. -------------------------------------------- 🎖 Certifications & Awards 🎖 🏅 Statistics Certified 🏅 Web Developpement Certification -------------------------------------------- ================================= 🤝 𝗟𝗘𝗧'𝗦 𝗕𝗥𝗜𝗡𝗚 𝗬𝗢𝗨𝗥 𝗜𝗗𝗘𝗔𝗦 𝗧𝗢 𝗟𝗜𝗙𝗘 ================================= Ready to innovate with cutting-edge AI solutions? 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝘁𝗼𝗱𝗮𝘆 for a free project consultation and expert guidance. I typically respond within 6 hours and am eager to help accelerate your AI projects. ======================== 🛠️ 𝐓𝐎𝐎𝐋𝐒 & 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 ======================== 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 • Python • JavaScript 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 • TensorFlow • PyTorch • Scikit-learn • Hugging Face • OpenVino 𝐂𝐥𝐨𝐮𝐝 & 𝐌𝐋𝐎𝐩𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 • AWS • Google Cloud • Runpod • MLflow 𝐃𝐚𝐭𝐚 & 𝐀𝐈 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 • Deep Learning • Natural Language Processing • Computer Vision • Data Analysis 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬 • Docker • Flask • FastAPI • React • Electron • SQL • MongoDB 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 • CI/CD • API Integration • Application Security Machine Learning Engineer, MLOps, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, Fullstack Development, TensorFlow, PyTorch, AI Deployment

AI Engineer specializing in production LLM systems, Agentic AI, RAG, and Edge AI deployments. I build AI systems that go beyond prototypes — scalable, observable, and production-ready applications designed for reliability and real-world usage. My experience spans multi-agent systems, real-time Voice AI, advanced RAG pipelines, NVIDIA Jetson edge deployments, and computer vision systems, with a strong focus on latency optimization, workflow durability, and system observability. 🚨 Common AI Problems I Solve → Hallucinations and unreliable retrieval → Slow streaming and high-latency inference → Agents losing memory, context, or execution state → Poor observability and difficult debugging → AI demos that fail in production environments ✅ Production-Focused Solutions → Durable agent workflows using Temporal & DBOS → Advanced RAG pipelines with hybrid retrieval and reranking → Full tracing and observability for agents, tools, and LLM workflows → Real-time streaming architectures for Voice AI and conversational systems → Edge AI optimization on NVIDIA Jetson using TensorRT & DeepStream Core Expertise 🤖 Agentic AI & Multi-Agent Systems → Multi-agent orchestration and tool-use systems → LangGraph, LlamaIndex, AutoGen, Google ADK, PydanticAI → MCP servers, memory systems, planning, and HITL workflows 🔍 RAG & LLM Systems → Production RAG pipelines and knowledge-base AI → Hybrid search, reranking, embeddings, and retrieval optimization → GPT-4o, Gemini, Claude, LLaMA, Qwen, multimodal systems 🎙️ Real-Time Voice AI → Stateful voice agents with streaming audio pipelines → WebSocket-based low-latency architectures → Gemini-native voice agents and conversational workflows 👁️ Edge AI & Computer Vision → NVIDIA Jetson Orin/Nano deployments → YOLO, OCR, segmentation, tracking, and video analytics → TensorRT, DeepStream, edge inference optimization 🌐 Backend & Infrastructure → FastAPI, Django, REST APIs, WebSockets → PostgreSQL, Neo4j, Redis, vector databases → Docker, scalable deployment pipelines, event-driven systems ⭐ Selected Projects ✓ Conversena — Arabic conversational commerce AI with multi-agent workflows, hybrid RAG, multimodal search, and persistent memory ✓ VidEduGen — Multi-agent AI platform for automated educational video generation using scalable event-driven architecture ✓ Real-time Edge AI System — NVIDIA Jetson-based multi-camera vision pipeline with OCR, TensorRT, and DeepStream optimization ⭐ Why Clients Work With Me ✔ Production-first engineering mindset ✔ Strong expertise in Agentic AI and scalable LLM systems ✔ Real-world experience with Voice AI and Edge AI deployments ✔ Clear communication and maintainable system design If you’re building: → AI agents or multi-agent systems → RAG or knowledge-base AI applications → Voice AI or conversational systems → Edge AI / NVIDIA Jetson deployments → Computer vision or real-time AI pipelines I can help you design and ship a reliable production-grade AI system. 📩 Feel free to message me to discuss your project.

Building production-ready AI systems, automated workflows, and robust data architecture. I am an expert AI Engineer and Full Stack Developer specializing in the design and architecture of real-world intelligent systems. I don't just write scripts; I build scalable production platforms, robust backend APIs, and complex data pipelines that turn raw information into high-quality business solutions. If you need a technical expert to design a long-term, high-performance model, implement an autonomous agent, or scale your development to the next phase, you are in the right place. 🚀 WHAT I BUILD & DESIGN 1. Data Pipelines & System Architecture Data Engineering: Designing high-performance data pipelines to extract, clean, and process structured and unstructured data. Production Systems: Architecting scalable backend systems and cloud infrastructure (Azure, AWS) for high-availability platforms. Real-World Integration: Seamless API and database integration to connect your proprietary data to modern AI models. 2. AI Agents & Automated Workflows Workflow Automation: Building complex, automated workflows using Python and n8n to streamline your business operations. Autonomous Agents: Developing intelligent agents that interact with tools, execute tasks, and make decisions based on real-time data. LLM & Prompt Engineering: Advanced prompt engineering, fine-tuning, and integrating top-tier LLM models (GPT-4, Claude) into your core product. 3. Full Stack & API Development Backend APIs: Designing clean, secure APIs and microservices using Python (FastAPI/Django) and Node.js. End-to-End Development: Taking your product from the initial design phase all the way to production deployment. 💻 MY TECHNICAL STACK & TOOLS AI & Models: Python, LLMs, LangChain, LlamaIndex, Vector Databases, Custom Agent Frameworks. Engineering & Architecture: System Design, Data Pipelines, RESTful APIs, Microservices. Backend & Full Stack: Node.js, Python, SQL/NoSQL Databases. Cloud & Automation: n8n, Azure, AWS, Docker, CI/CD pipelines. 💡 My Engineering Philosophy: I focus on quality code and scalable architecture. Whether we are building an MVP or upgrading an enterprise platform, my goal is to deliver a high-performance system that solves your real business challenges. Are you ready to build a production-grade AI system? Let’s talk. 👉 Click "Invite to Job" to start a conversation about your project and technical needs.

I'm a Deep Learning Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. I've worked on various AI domains such as Computer Vision, Deep Learning, Natural Language Processing and Reinforcement Learning. I've applied AI in medicine, academics, and industry to automate data annotation and model deployment processes. ✅ What I Offer: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Leverage advanced neural networks to model complex patterns in data, enhancing the performance of applications across generative AI, computer vision, and NLP. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Delve into the realm of creative AI, where machines produce realistic and novel content across various mediums. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Equip your systems with the ability to understand and interpret visual data, enabling applications like image recognition and object detection. 𝐍𝐋𝐏: Empower your projects with language understanding capabilities, facilitating tasks such as sentiment analysis and text generation. 💡 Why Collaborate with Me? 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 My Expertise Includes: Deep Learning (CNN, Neural Networks, Transfer Learning) Computer Vision (Image Classification, Object Detection, Segmentation) Frameworks: PyTorch, TensorFlow, Keras Medical Imaging AI (MRI, Tumor Detection) Model Optimization & Deployment 🔹 What I Deliver: Accurate and production-ready AI models Scalable deep learning pipelines Clean, maintainable, and efficient code I have built systems like brain tumor detection, AI-based classification models, and intelligent automation pipelines. My focus is on solving real-world problems using deep learning with high accuracy and efficiency. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I am adept at utilizing a wide array of tools and frameworks, ensuring optimal implementation and performance. 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐜𝐮𝐬: Stay ahead of the curve with cutting-edge solutions tailored to your specific requirements. 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐭𝐚𝐜𝐤: Python (Numpy, pandas, OpenCV, Keras, PyTorch), AWS, Google Cloud, GPU, machine learning APIs, Docker. Let's connect and discuss how we can leverage these technologies to achieve your goals.

I provide work to customers with a guarantee of quality and also offer a range of other services with excellence across Python projects in Machine Learning, Deep Learning, and Generative AI. Our motto: Quality, Creativity, and Client Satisfaction. I have been working on various projects that I mention below: ✨ Experience in Machine Learning (Supervised learning, Unsupervised learning, Reinforcement learning) ✨ Experience in Generative AI (LLM-based apps, RAG pipelines, AI Agents, Prompt Engineering) ✨ Experience in Natural Language Processing (Text Classification, NER, Sentiment Analysis, Embeddings) ✨ Experience in Time Series Forecasting (RNNs, LSTM, ARIMA, Prophet, Others) ✨ Experience in Deep Learning (ANN, CNN, RNN, LSTM, GAN, Transformers, Others) ✨ Experience in Computer Vision (Object Detection, Face Recognition, Others) I can also handle any project related to these: ✨ Classification Related Problems ✨ Regression Related Problems ✨ Clustering Related Problems (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering, Others) ✨ NLP Tasks (Text Preprocessing, Tokenization, Topic Modeling, Text Summarization) ✨ RAG-based Chatbots & Knowledge Assistants (LangChain, LlamaIndex, FAISS, Pinecone) ✨ AI Agents (OpenAI, Claude API, Tool Use / Function Calling, Multi-agent Systems) ✨ WhatsApp / Telegram / Web Chatbots powered by LLMs ✨ Data Analysis (Pandas, NumPy, Others) ✨ Data Visualisation (Matplotlib, Seaborn, Plotly) ✨ Dimensionality Reduction (PCA, LDA) ✨ Reinforcement Learning (Policy, Reward, DQN, Others) ✨ Prediction Related Problems And I will train and predict on your dataset using whichever models suit your problem best, such as: ✨ Artificial Neural Network (ANN) ✨ Convolutional Neural Network (CNN) ✨ Recurrent Neural Network (RNN) ✨ Long Short Term Memory (LSTM) ✨ Transformer-based Models (BERT, GPT-style architectures) ✨ Large Language Models (OpenAI GPT, Anthropic Claude, Open-source LLMs) ✨ Others Whether it's a classic ML pipeline, an NLP system, or a custom AI agent powered by LLMs, I focus on building solutions that are accurate, explainable, and production-ready.

🤖 Robotics Software Engineer | ROS2 | Autonomous Robots | SLAM | Sensor Fusion | Robot Arms | Real-Time Systems I’m a Robotics Software Engineer with strong hands-on experience in ROS 2 robotics development, autonomous mobile robots, SLAM, sensor fusion, and robotic arm manipulation. I work on real production systems used by customers — not experiments or demos. My experience spans real-time perception, planning, and control pipelines, deployed on physical robots in medical, industrial, and outdoor environments. 🔧 Robotics & ROS Expertise ROS 2 / ROS 1 development (Nav2, MoveIt / MoveIt 2, ros2_control) Autonomous navigation for indoor and outdoor robots SLAM & localization (Cartographer, SLAM Toolbox, LiDAR SLAM, Visual SLAM) Sensor fusion using EKF / UKF (GNSS, IMU, wheel odometry, LiDAR) Experience with UGVs, delivery robots, quadrupeds, and robotic arms Robot simulation using Gazebo and NVIDIA Isaac Sim 📡 Sensors, Perception & Real-Time Processing Integration of LiDAR, depth cameras, stereo cameras, GNSS, IMUs Cameras: Intel RealSense, ZED Real-time 3D perception pipelines using PCL & Open3D TensorRT optimization for real-time inference on edge devices GPU-accelerated computer vision and perception Photogrammetry and dense 3D reconstruction 🦾 Robot Arms & Medical Robotics (Production Systems) Extensive experience with robotic arms in production medical and industrial applications Platforms: xArm, ABB, UR robots MoveIt / MoveIt 2 motion planning Collision-aware trajectory planning in tight and constrained spaces Multi-year development of a production dental robotics platform: Real-time surface-following motion for teeth cleaning High-precision manipulation with strict orientation constraints Perception-driven toolpath generation from 3D scans Deployed and tested on real hardware 🧠 Computer Vision & AI (Applied, Real-Time) OpenCV-based computer vision for robotics Object detection & segmentation (YOLO, SSD, U-Net, SAM) Real-time AI pipelines optimized for deployment Practical AI for robotics perception — not research-only models 🧰 Engineering & Production Deployment Python and C++ for performance-critical robotics systems Linux, Docker, and reproducible deployments Debugging and tuning real robots in production Long-term ownership of complex robotics codebases Clear documentation and structured handover ✅ Why Clients Hire Me I work on real production robots, not proofs of concept I design real-time systems that survive real environments I can debug complex ROS, SLAM, and motion-planning issues I take ownership from architecture to deployment Ideal for long-term, high-responsibility robotics projects If you’re looking for a ROS 2 robotics engineer, SLAM developer, robot arm motion-planning expert, or real-time perception engineer, I can help you build a system that works reliably in the real world.

I'm a Data Scientist and Machine Learning Engineer with 5+ years of experience helping SMEs turn messy data, unstructured text, and manual workflows into intelligent, automated systems that drive real business outcomes. My core strength lies in building production-ready ML and NLP solutions, from custom LLM applications and RAG pipelines to fully autonomous AI agents, that don't just work in a notebook but actually perform at scale. I've worked across healthcare, fintech, e-commerce, SaaS, and customer support, and I bring both the technical depth and business thinking to every project. You're probably sitting on thousands of support tickets, internal documents, customer conversations, or operational data that your team processes manually. Leads slip through the cracks, customers wait too long for answers, insights stay buried in spreadsheets, and your competitors are already automating what your team still does by hand. The longer you wait, the more it costs you in time, in errors, and in missed opportunities. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐔𝐦𝐛𝐫𝐞𝐥𝐥𝐚: 1. LLMs & Generative AI: OpenAI API (GPT-4, GPT-3.5), Claude, Gemini API, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Zero-shot & Few-shot Reasoning, In-context Learning, Text-to-SQL 2. Agentic AI: Multi-agent systems, LangGraph, CrewAI, AutoGen, Tool-use & Function Calling, Autonomous Workflow Agents, Memory & Planning Architectures 3. NLP: Named Entity Recognition, Text Classification, Sentiment Analysis, Semantic Search, Vector Embeddings (OpenAI, Sentence-Transformers), Topic Modeling, Summarization, Wav2Vec2.0, Whisper, HuBERT 4. Machine Learning & Deep Learning: CNN, LSTM, Transformer-based Models, Diffusion Models, LoRA/QLoRA Fine-tuning, Ensemble Modeling, Scikit-learn, XGBoost, PyTorch, TensorFlow 5. Data Science & Analytics: Exploratory Data Analysis, Statistical Modeling, A/B Testing, Forecasting, Pandas, NumPy, SQL, Tableau, Power BI 6. MLOps & Deployment: FastAPI, Flask, Streamlit, AWS (Bedrock, EC2, Lambda), CI/CD Pipelines, Apache Airflow, n8n, PostgreSQL, Vector Databases (Pinecone, Weaviate, ChromaDB) I design and deploy AI systems that automate customer support with 90%+ resolution accuracy, build RAG-powered knowledge assistants that cut research time by 10x, deploy autonomous agents that handle multi-step workflows end to end, and turn raw business data into predictive models that drive smarter decisions. My clients don't hire me for the tech. They hire me for the results. That means fewer manual errors, 60 to 80% faster processing, reduced operational costs, and decision-making backed by real-time intelligence. Whether it's an AI agent saving $50K/year in support overhead or an NLP pipeline that replaces 3 full-time analysts, I build solutions where the ROI is obvious within weeks, not months. Every engagement starts with a 𝐅𝐑𝐄𝐄 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 where I assess your data challenge, identify quick wins, and map out a clear roadmap. I deliver production-grade systems with clean documentation, so your team isn't dependent on me forever. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯, 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗼𝘁𝗵𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝘀𝘁 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝘀 𝘆𝗼𝘂 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Thanks Aneeba A.

I’m a Data Science Consultant with a passion for turning raw data into clear, actionable insights. With 5+ years in machine learning, predictive analytics, and data visualization, I use Python, Tableau, Power BI, and SQL to create intuitive dashboards and models for retail, tech, and healthcare clients. My work has improved decision-making, boosting efficiency by 15–30%. Certified in Google Data Analytics, I blend AI tools with strategic consulting to deliver ethical, high-impact solutions. Let’s unlock your data’s potential—contact me today! 🌟 Key Skills: Data Visualization, Machine Learning, Predictive Modeling, Python, SQL, Tableau, Power BI 🌟 Industries: Retail, Tech, Healthcare 🌟 Achievements: Designed a dashboard saving 10 hours/week; predicted customer churn with 85% accuracy 🌟 Certifications: Google Data Analytics Professional, Tableau Desktop Specialist

I build production-ready AI systems that turn complex data into predictable business outcomes. Whether you need to stop customer churn, automate decision-making, or forecast growth, I deliver the strategic "brain" behind your operations. I help growth-driven businesses turn raw data into predictable revenue. I don’t just deliver code; I build production-ready AI systems that drive measurable growth and competitive edges. SOME OF MY PREVIOUS ML PROJECTS(ON GITHUB): 1. Revenue Protection & Churn Prediction: End-to-end systems (FastAPI/Docker) that identify at-risk users or declining accounts 30-60 days in advance. My models achieve 85%+ accuracy and integrate directly into your CRM or workflow. 2. Strategic Demand & Sales Forecasting: My ForecastX pipeline uses production-ready time-series ML to automate retraining and data cleaning—ensuring your forecasts stay accurate and your budget is optimized as you scale. 3. Intelligent Behavior Segmentation: Using advanced clustering to group your users or leads by behavior and value, enabling hyper-personalized automation that typically boosts marketing ROI by 20-30%. Recent projects: 1. Loan default prediction system for fintech (RiskIQ) 2. Product recommendation engine using association rule mining MY APPROACH: I am a Transformation Engineer. I start with your business metrics, not just the math. As an accessible expert, I specialize in making complex AI simple, practical, and high-impact. You get documented APIs and live monitoring dashboards, not just a static Jupyter notebook. Tech stack: Python, scikit-learn, TensorFlow, XGBoost, FastAPI, Docker, MLflow, Apache Airflow, PostgreSQL READY TO START? Many clients begin with a Strategy Consultation or a small pilot project before moving to a monthly retainer for model monitoring and updates. Let’s discuss how we can make AI work for your specific business goals today.