Most AI projects die in the notebook. 𝗠𝗶𝗻𝗲 𝘀𝗵𝗶𝗽 every one at 5.0 ⭐, and clients came back for a second build before the first was cold. I'm an 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 and 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 who builds 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗥𝗔𝗚 pipelines, and 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that run in production. Not demos. Not notebooks. ━━━━━━━━━━━━━━━━━━━━ 📈 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗦𝗵𝗶𝗽𝗽𝗲𝗱 🎬 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝘃𝗶𝗱𝗲𝗼 𝘀𝘆𝘀𝘁𝗲𝗺 • Automated a 6-hour manual pipeline down to under 20 minutes ~𝟴𝟱% 𝗹𝗲𝘀𝘀 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝘁𝗶𝗺𝗲. ⭐⭐⭐⭐⭐ "He converted a complex idea into a working system. Very happy with the result." 🤖 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗲𝗻𝗴𝗶𝗻𝗲 • A multi-step 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 that cut research-to-draft from 𝟮 𝗱𝗮𝘆𝘀 → 𝟰𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. ⭐⭐⭐⭐⭐ "Practical and innovative ideas, solid grasp of workflows from start to finish." 🎯 𝗠𝗼𝗱𝗲𝗹 𝗳𝗶𝗻𝗲 𝘁𝘂𝗻𝗶𝗻𝗴 𝗼𝗻 𝗱𝗼𝗺𝗮𝗶𝗻 𝗱𝗮𝘁𝗮 • 𝗙𝗶𝗻𝗲 𝘁𝘂𝗻𝗲𝗱 an 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠 that beat a frontier model on the client's task at ~𝟲𝟬% 𝗹𝗼𝘄𝗲𝗿 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗰𝗼𝘀𝘁. ⭐⭐⭐⭐⭐ "After our first project, we placed yet another project…" 🔍 𝗥𝗔𝗚 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 • Answer accuracy from ~𝟲𝟬% → 𝟵𝟮%. Fixed the retrieval, not the model budget. 📄 𝗡𝗟𝗣 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 • Natural language processing 𝗳𝗼𝗿 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 replaced 30 hrs/week 𝗼𝗳 𝗺𝗮𝗻𝘂𝗮𝗹 𝗱𝗮𝘁𝗮 𝗲𝗻𝘁𝗿𝘆 𝗮𝘁 ~95% accuracy**. ━━━━━━━━━━━━━━━━━━━━ 🧠 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 🔍 𝗥𝗔𝗚 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 grounded in your data • Vector search FAISS, Pinecone, Qdrant, Weaviate • Hallucination reduction & response grounding • 𝗟𝗟𝗠 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 into your existing SaaS or product • Enterprise 𝗟𝗟𝗠 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 that hold up under real traffic 🎯 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲 𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗠𝗼𝗱𝗲𝗹 𝗳𝗶𝗻𝗲 𝘁𝘂𝗻𝗶𝗻𝗴 LoRA, SFT, instruction tuning, domain adaptation • Honest evaluation, so you know the fine tuning actually worked • 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 classification, summarization, NER, sentiment, entity extraction • 𝗡𝗟𝗣 pipelines built for messy real-world text: docs, tickets, transcripts, support data • Backed by 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 fundamentals 𝗻𝗲𝘂𝗿𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀, transformers, and the right 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹 for the job 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • Agentic AI that takes actions, not just generates text • Tool-calling, persistent memory, multi-agent orchestration • LangChain & LangGraph, planner executor architectures • AI automation across CRMs, databases, and internal tools 💬 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • AI chatbots grounded in your docs and databases • Guardrails and correct escalation no confident hallucinations • Built on OpenAI, Claude, Gemini, or fine-tuned open-source models ⚙️ 𝗨𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗵𝗼𝗼𝗱 • 𝗔𝗜 / 𝗠𝗟: PyTorch, TensorFlow, Hugging Face, Scikit-learn • 𝗟𝗟𝗠 & 𝗔𝗴𝗲𝗻𝘁𝘀: LangChain, LangGraph, LlamaIndex, MCP, OpenAI, Claude, Gemini, LLaMA, Mistral, Whisper • 𝗠𝗟𝗢𝗽𝘀: Docker, Kubernetes, MLflow, AWS, GCP, vLLM, ONNX • 𝗗𝗮𝘁𝗮: PostgreSQL, MongoDB, Redis, FAISS, Pinecone, Qdrant ━━━━━━━━━━━━━━━━━━━━ 🛠️ 𝗜 𝗗𝗼𝗻'𝘁 𝗗𝗶𝘀𝗮𝗽𝗽𝗲𝗮𝗿 𝗔𝗳𝘁𝗲𝗿 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 • 🐛 𝟭𝟱 𝗱𝗮𝘆𝘀 𝗼𝗳 𝗳𝗿𝗲𝗲 𝗽𝗼𝘀𝘁-𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 bugs and edge cases on me • 📚 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 + 𝘄𝗮𝗹𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 call so your team can run it without me • 📊 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗯𝘂𝗶𝗹𝘁 𝗶𝗻 from day one, not bolted on later • 🎯 𝗠𝗼𝗱𝗲𝗹 𝗳𝗶𝗻𝗲 𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗿𝗲𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 guidance as your data grows ━━━━━━━━━━━━━━━━━━━━ ✅ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 • 🎯 𝗛𝗼𝗻𝗲𝘀𝘁 𝘀𝗰𝗼𝗽𝗶𝗻𝗴 if your idea won't work, you hear it in the first call, not week six • 💰 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗹𝗶𝘁𝗲𝗿𝗮𝘁𝗲 I'll tell you when simple machine learning beats a large language model, and save you the API bill • 🔒 𝗢𝗻𝗲 𝗽𝗲𝗿𝘀𝗼𝗻 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲 architecture through deployment, no handoffs ❌ 𝗦𝗸𝗶𝗽 𝗠𝗲 𝗜𝗳 • You want one click AI miracles • You're chasing the cheapest bid • You need it rushed instead of built to last ━━━━━━━━━━━━━━━━━━━━ 🚀 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗧𝗵𝗮𝘁 𝗪𝗼𝗿𝗸𝘀 𝗡𝗼𝘁 𝗔𝗜 𝗧𝗵𝗮𝘁 𝗝𝘂𝘀𝘁 𝗟𝗼𝗼𝗸𝘀 𝗚𝗼𝗼𝗱 Tell me what you're trying to solve. I'll tell you straight whether I'm the right person for it and what it'll actually take.

With over a decade of experience in AI, Machine Learning, and Deep Learning, I am passionate about leveraging cutting-edge technologies to build intelligent, data-driven solutions. My expertise lies at the intersection of conversational AI and traditional ML/DL models, allowing me to deliver advanced solutions tailored to your unique needs—whether you're looking to integrate chatbot systems or deploy predictive models for business intelligence. I specialize in building and deploying state-of-the-art conversational AI systems powered by Large Language Models (LLMs). This includes custom chatbot creation, chatbot API integration, and enhancing customer interaction workflows. I stay up-to-date with the latest advancements in AI, such as GPT-based models and open-source LLMs, and I'm proficient in designing conversational agents that can handle complex tasks and human-like interactions across multiple domains. In addition to cutting-edge AI solutions, I also have deep experience in traditional ML and DL methods. This includes: Regression and Classification Models: Implementing various algorithms for predictive analysis, like Linear/Logistic Regression, Decision Trees, and Support Vector Machines (SVM). Neural Networks: Building and training deep learning models using frameworks such as TensorFlow and PyTorch for image processing, NLP, and more. Here’s a snapshot of my technical expertise: Conversational AI & LLMs . Custom Chatbot Development (GPT-based models, OpenAI, etc.) . Chatbot API Integration (Twilio, Dialogflow, Microsoft Bot Framework) . NLP-based Automation and AI-driven Customer Support Solutions . Large Language Models (LLMs) for Content Generation and Query Resolution . Fine-tuning Pre-trained Language Models for domain-specific tasks Traditional Machine Learning & Deep Learning . Regression and Classification Algorithms . Decision Trees, Random Forest, XGBoost . Deep Learning (Neural Networks, CNNs, RNNs) . Natural Language Processing (NLP) using PyTorch, TensorFlow, Hugging Face Transformers . Image Recognition and Processing with Keras, OpenCV Data Engineering & Model Deployment . Model Optimization & Hyperparameter Tuning . MLOps and CI/CD for Machine Learning (Docker, Kubernetes) . Deploying Models to Cloud Platforms (AWS SageMaker, GCP AI Platform, Azure ML) Key Domains of Expertise: ✅ Conversational AI Systems & Chatbots ✅ Large Language Models (LLMs) ✅ Natural Language Processing (NLP) ✅ Predictive Analytics for Business ✅ Computer Vision ✅ Automation & AI Integration for Customer Interaction ✅ Healthcare AI Solutions ✅ Finance & Risk Prediction Models ✅ Retail and E-Commerce Analytics Buzz Words: AI Developer, Machine Learning Engineer, Deep Learning Specialist, Chatbot Developer, NLP Expert, TensorFlow Developer, PyTorch Engineer, Conversational AI Expert, LLM Integrator, Data Scientist I look forward to connecting with you to help design intelligent AI solutions that drive impact and enhance your business processes. Whether it's a chatbot system to streamline customer service or advanced ML models for predictive insights, let's bring your vision to life!

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’m Muhammad Baqir, and I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLOv8, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLOv8 detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLOv8 · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit

I help engineering teams and tech founders build high-performance Computer Vision solutions, real-time perception systems, and edge AI applications. 🚀 COMPUTER VISION ENGINEER HELPING TEAMS BUILD REAL-TIME PERCEPTION SYSTEMS Implementing complex Computer Vision (CV) and deploying neural networks in real-time is a massive technical challenge. Most tech startups face these hurdles: - Low frame rates (FPS) and high latency in real-time detection. - High memory consumption that prevents deployment on Edge devices. - Difficulty porting Python-based models (PyTorch/TensorFlow) into high-performance C++ or Rust production environments. - Challenges implementing AI analysis in the browser using WebGPU or WebAssembly (Wasm). I bridge the gap between Data Science (Research) and Systems Engineering (Production), delivering optimized solutions that are fast, scalable, and robust. 🏆 RESULTS I HELP CLIENTS ACHIEVE: - Launch complex CV solutions (Object Detection, Tracking, SLAM) on time. - Increase inference performance via TensorRT, OpenVINO, or ONNX optimization. - Reduce memory footprint for deployment on NVIDIA Jetson, Raspberry Pi, and Mobile. - Build cross-platform applications for Cloud, Desktop, and Web Browsers. - Seamlessly integrate AI models into existing production infrastructure. 💻 WHAT I BUILD: - REAL-TIME VIDEO ANALYTICS: Object detection, face recognition, and behavior analysis. - EDGE AI & EMBEDDED VISION: Optimizing neural networks for resource-constrained hardware. - WEB-BASED COMPUTER VISION: High-speed model inference in the browser via Wasm/WebGPU. - 3D VISION & SLAM: Object reconstruction, robotics perception, and Point Cloud processing. - HIGH-SPEED OCR: Fast document processing and data extraction. ⚙️ TECHNOLOGIES I WORK WITH: COMPUTER VISION & ML: - OpenCV, MediaPipe - PyTorch, TensorFlow, Keras - YOLO (v8 / v10 / v11), Segment Anything (SAM), Detectron2 - Stable Diffusion PERFORMANCE & DEPLOYMENT: - C++ / Rust (High-performance processing engines) - TensorRT, ONNX Runtime, OpenVINO (Inference optimization) - CUDA / cuDNN (GPU acceleration) - WebAssembly (Wasm) & WebGPU (In-browser CV) CORE SYSTEMS & TOOLS: - Python (Research & Scripting) - Docker, NVIDIA Docker, GStreamer (Video pipelines) - Linux & Embedded Linux (Jetson, ARM) 🎯 TYPICAL SCENARIOS I HANDLE: ► Research Model to Production MVP If your model is working in a Jupyter Notebook but is too slow for real users, I rewrite critical components in C++/Rust and apply quantization/pruning to achieve production speed. ► Edge AI & Browser Migration I port models to run via WebGPU or Wasm to keep processing on the client-side, reducing cloud costs and ensuring data privacy. ► Performance Rescue If your system is dropping frames or overheating servers, I perform technical audits, implement hardware acceleration (NVDEC/VA-API), and optimize pre-processing algorithms. 🔄 MY PROCESS: 1. Architecture Design: Evaluating Accuracy vs. Speed to choose the right stack. 2. Pipeline Development: Setting up robust video ingestion and model inference. 3. Optimization: Leveraging CUDA, TensorRT, or Rust for maximum FPS. 4. Delivery: Stress testing and delivering clean, maintainable code. Ready to give your product "sight"? Drop me a message to discuss your Computer Vision project!

The Technical Stack: ✔️ GenAI: OpenAI/Anthropic APIs, LangChain, RAG, Vector Databases, BERTopic. ✔️ Automation: n8n, Python (FastAPI/Flask), Selenium, Scrapy, Playwright. ✔️ Data Science: Scikit-learn, TensorFlow, Keras, Pandas, NumPy. ✔️ BI & Viz: SQL, Plotly, Seaborn, Matplotlib, Google Analytics (GAIQ). Education & Credentials: ➕ Masters of Engineering | M.S. University, Baroda ➕ Bachelors of Engineering | G.E.C. Modasa ➕ Machine Learning Certification | Stanford University ➕ Deep Learning Specialization | DeepLearning.ai ➕ Python for Everybody Specialization | University of Michigan ➕ Google Analytics Individual Qualification | GAIQ Combining a Master’s in Engineering with specialized training from Stanford and Google and 7 years of hands-on experience, this practice bridges the gap between complex data science and practical business automation. The focus is on architecting autonomous AI Agents and high-volume data pipelines that transform raw information into revenue-driving insights. All-In-One Solutions: Autonomous AI Agents: Engineering "Reasoning" workflows using LLMs (GPT-4o/Claude) and n8n to automate decision-making and operational tasks. Intelligent Data Pipelines: Architecting resilient, anti-bot scrapers (Selenium/Scrapy) to harvest high-value data from complex, large-scale web environments. Machine Learning & NLP: Deploying advanced models for trend discovery (BERTopic), sentiment analysis, and predictive forecasting. Data Science & Analytics: Transforming disorganized datasets into structured intelligence and interactive executive dashboards (Plotly/Dash).

AI/ML engineer with a background in mechanical engineering, experienced in Python for regression models, computer vision, and LLM/RAG applications. Recent projects include CFD-based surrogate models for optimization under uncertainty, a gesture-controlled media player using computer vision, and a PDF question-answering web app powered by RAG.

Hello, Thank you for taking time to visit my profile. As a Machine Learning Engineer and Python developer, I have extensive experience working with a range of libraries and frameworks to build robust, scalable applications. Specifically, I have expertise in the following commonly used libraries: NumPy: I have utilized NumPy to perform numerical computations and multi-dimensional array manipulations, especially in scientific and data analysis projects. Pandas: I am proficient in using Pandas for data manipulation and analysis, which is crucial for extracting insights and creating reports that drive business decisions. Matplotlib: I have experience in data visualization and plotting with Matplotlib, which enables me to create insightful and visually appealing visualizations. Scikit-learn: I have expertise in Scikit-learn, a machine learning library that offers a broad range of tools for classification, regression, and clustering tasks. I have used Scikit-learn to build predictive models for various applications. TensorFlow and Keras: I have experience in using these libraries for developing and training machine learning models, especially deep learning models. PyTorch: I have used PyTorch for developing and training machine learning models, particularly deep learning models. Seaborn: I am proficient in using Seaborn for statistical data visualization and graphics, which helps in communicating insights to stakeholders. SciPy: I have used SciPy for scientific and technical computing, particularly in engineering and physics projects. NLTK: I am experienced in using NLTK for natural language processing tasks, such as sentiment analysis and text classification. Overall, my expertise in these popular Python libraries allows me to deliver high-quality solutions that meet the needs of businesses and organizations. With strong analytical and problem-solving skills, I am able to provide efficient, scalable solutions that drive growth and success.

3x Certified aws and certified databricks developer having more than 5 years in Data Analytics domain having wide variety of expertise in multi sub domain of data engineering projects including ETL/ELT data pipelines, data warehousing, delta lakes and event driven architectures. I have expertise and experience in trending technologies such as: • Python • SQL • Spark • Airflow • DBT • Snowflake • AWS s3 • AWS Lambda • AWS Athena • AWS Glue • AWS EMR • Azure Synapse Analytics • Azure Data factory • Azure Databricks • GCP Biqquery • GCP Cloud Storage • GCP Dataproc • GCP Pub/sub