🔍,SEO-based research | 📊 Data Science | 🤖 Generative AI | 🧠 Machine Learning | 🐍 Python | 📈 R Programming | 📊 Analytics | 🧬 Bioinformatics I am a Data Scientist and AI Engineer with expertise in Machine Learning, Generative AI, data analytics, natural language processing (NLP), and bioinformatics. I help businesses, researchers, and startups transform data into actionable insights through predictive modelling, statistical analysis, AI-powered solutions, and custom Python and R applications. With over **75 successfully completed freelance projects* and experience training 32+ students in Data Science and Bioinformatics, I bring both technical expertise and strong communication skills to every engagement. My focus is on delivering accurate, reproducible, and business-oriented solutions that create measurable value. 🎯 Core Expertise 🔹 Data Science & Analytics • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA) • Feature Engineering • Statistical Modeling • Predictive Analytics • Data Mining • Network Analysis 🔹 Machine Learning & AI • Supervised & Unsupervised Learning • Classification & Regression • Support Vector Machines (SVM) • Principal Component Analysis (PCA) • K-Means Clustering • Deep Learning • Generative AI • Natural Language Processing (NLP) 🔹 Featured Projects • Stock Price Prediction using LSTM Networks • Breast Cancer Classification using PCA + SVM • Image Segmentation using K-Means Clustering • Machine Learning Model Development and Evaluation • Face Detection using Haar Cascade Features and OpenCV • Research Analytics and Data Visualization 🔹 Programming & Analytics • Python • R Programming • SQL • C++ • C# • MATLAB •Java 🔹 Data Science & Machine Learning Libraries • Scikit-Learn • TensorFlow • Keras • NumPy • Pandas • Matplotlib • Seaborn • Plotly • ggplot2 • dplyr • tidyr • DESeq2 🔹 Bioinformatics & Computational Biology • NGS & RNA-Seq Analysis in Python and R • Biopython • Cytoscape, STRING, DAVID, GSEA • AlphaFold, PyMOL, ChimeraX • Galaxy Server and Linux-based Pipelines • Molecular Docking (AutoDock and ML-Based) • Molecular Dynamic Simulation in GPU (GROMACS, AMBER, NAMD) Why Work With Me? ✅ 75+ Successfully Completed Projects ✅ 32+ Students Trained Worldwide ✅ Strong Research and Analytical Background ✅ Clear Communication and Documentation ✅ On-Time Delivery and Reliable Support Let's discuss how I can help with your data science, AI, machine learning, analytics, or bioinformatics project.

🏆 A dedicated professional with comprehensive expertise in Machine Learning, Computer Vision, Deep Learning, and Generative AI. I bring extensive experience in deploying advanced AI models and optimizing solutions for both desktop and embedded environments. My background includes certifications in Data Science, Deep Learning, and Machine Learning in Production, complemented by hands-on project experience. 🏆 🏆🏆 𝙀𝙓𝙋𝙀𝙍𝙏 𝙄𝙉 🏆🏆 🚀 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 🚀 ✅ Computer Vision Tasks: Skilled in Image Classification, Image Segmentation, and Object Detection. ✅ Deep Learning Frameworks: Proficient with TensorFlow, Keras, and PyTorch for developing sophisticated neural network models. ✅ Advanced Architectures: Experience in implementing Vision Transformers, Swin Transformers, and DETR. ✅ Image Processing: Expertise in numpy, OpenCV, matplotlib, and Pillow for preprocessing and manipulation. ✅ Annotation Tools: Familiar with LabelKit, Labelbox, labelme, and Colabeler for data labeling and annotation. ✅ Embedded Computer Vision: Proficient in deploying models on resource-constrained environments using TensorFlow Lite and other techniques. ✅ Explainable AI: Utilizes LIME and Grad-CAM for model interpretability. 🚀 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 ⭐ Supervised Learning: Implementing models such as Logistic Regression, SVMs, Decision Trees, and Neural Networks. ⭐ Unsupervised Learning: Expertise in clustering methods like K-means, DBSCAN, Birch, and Hierarchical clustering. ⭐ Semi-Supervised Learning: Leveraging both labeled and unlabeled data for improved model accuracy. ⭐ Classification and Regression: Building and tuning models for various prediction tasks including Linear, Polynomial, Ridge, and Lasso Regression. ⭐ Ensemble Methods: Enhancing model performance with Random Forests, Bagging, and Boosting techniques. ⭐ Feature Engineering: Advanced techniques for feature selection and dimensionality reduction. 🚀 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 🚀 📈 Statistical Analysis: Applying advanced statistical methods for deriving insights from complex datasets. 📈 Data Interpretation: Translating analytical findings into actionable business strategies. 📈 Trend Analysis: Identifying patterns and forecasting future trends. 📈 Predictive Modeling: Utilizing predictive models for risk assessment and decision-making. 📈 Multivariate Analysis: Handling and analyzing multi-dimensional data. 🚀 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 🚀 📜 Generative Adversarial Networks (GANs): Experience with StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, and DCGAN. 📜 Generative AI Tools: Proficient with Ollama, LangChain, Llama3.1, RAG, Gemini, and GPT. 🚀 𝐄𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🚀 📦 Embedded Devices Experience: Expertise with Arduino, STM32, ESP32, FPGA, Raspberry Pi, and Nvidia Jetson. 📦 Deployment Projects: Successfully deployed various AI models on edge devices, including Jetson Orin Nano and Jetson Tx2, for tasks like ANPR, emotion detection, gesture recognition, and more. 🏆🏆𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗞𝗜𝗟𝗟𝗦🏆🏆 🔍 Core Tools: Pandas, Numpy, Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost 🔍 Visualization: Matplotlib, Seaborn, Plotly, ggplot2 🔍 Data Processing: Dask, Apache Spark 🔍 Deep Learning: TensorFlow, Keras, PyTorch, Caffe, Theano 🔍 Natural Language Processing: NLTK, SpaCy, Gensim, BERT 🔍 Generative AI: GANs (StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, DCGAN), Ollama, LangChain, Llama3.1, RAG, Gemini, GPT 🔍 Transformers: Vision Transformers, Swin Transformers, DETR 🔍 Statistical Modeling: Statsmodels, SciPy 🔍 Computer Vision: OpenCV, PIL (Python Imaging Library), skimage 🔍 Development Tools: Jupyter, Docker, Git, SVN 🔍 Embedded Devices: Arduino, STM32, ESP32, FPGA, Raspberry Pi, Nvidia Jetson 📞 𝗟𝗲𝘁 𝘂𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁: 💼 I am passionate about bringing innovative AI solutions to life and optimizing them for various platforms. Contact me to explore how we can collaborate on your next project and achieve outstanding results together!

🏆 Top Rated Plus As a Top Rated Data Scientist and AI/ML & Workflow Automation Specialist with 7 years of experiecne , I specialize in Natural Language Processing (NLP), Data Analysis, Image Processing, Predictive Modeling, Web Scraping, ETL, EDA, Database Migration, Pipeline, Devops, CI/CD Pipeline, Frontend and Backend development. I am a dedicated Data Scientist with a strong background in Machine Learning and Artificial Intelligence. With expertise in Python and R programming languages, I specialize in developing intelligent models and algorithms to extract insights and solve complex business problems. My passion for data science combined with my experience in advanced analytics and AI enables me to deliver valuable solutions that drive data-driven decision making and yield measurable results for clients. Core Technologies: 1. Cloud-based platforms (AWS, Azure, Google Cloud): Utilize cloud infrastructure for scalability and flexibility in data processing and storage. 2. ETL processes and data integration (Snowflake Warehouse, BigQuery): Efficiently extract, transform, and load data from various sources into a centralized data warehouse. 3. Data Cleaning, Preprocessing, and Feature Engineering: Ensure data quality and extract meaningful features for analysis and modeling. 4. Natural Language Processing (NLP): Leverage text classification, sentiment analysis, named entity recognition, and topic modeling to extract insights from unstructured text data. 5. Python (NLTK, spaCy, Gensim, Stanford CoreNLP, BERT, WordNet, TensorFlow, Keras, PyTorch, OpenCV, ComputerVision, Hugging Face Transformers, Scikit-learn): Utilize a powerful programming language for data analysis, machine learning, and computer vision tasks. 6. R (Tidyverse, Caret, text mining packages): Leverage a statistical programming language for data analysis and modeling. 7. SQL and Database Management: Manage and query structured data in databases using SQL. 8. Exploratory Data Analysis (EDA) and Data Visualization: Explore and visualize data to gain insights and identify trends. 9. Predictive Modeling - Regression, Classification, Time Series Forecasting: Apply statistical and machine learning models to predict future outcomes. 10. Image Processing - Object Detection, Image Recognition, Image Segmentation: Extract insights and patterns from image data using computer vision techniques. 11. Web Scraping (BeautifulSoup, Selenium, Scrapy, Puppeteer, Octoparse, ParseHub, Apify): Automate data collection from websites using web scraping tools. 12. Full-stack development with proficiency in both front-end and back-end technologies: Develop end-to-end web applications with proficiency in both front-end and back-end technologies. 13. Statistical Analysis and Hypothesis Testing: Apply statistical methods to test hypotheses and draw conclusions from data. 14. Data Visualization Libraries (Matplotlib, Seaborn, Plotly, ggplot (ggplot2), Tableau): Visualize data using powerful and flexible libraries. Thank you for considering my portfolio!

👋 Expert Machine Learning, Generative AI Engineer and Full Stack Web Development. I am passionate about solving complex problems and making a positive impact. I bring experience across various projects, specialising in Machine Learning, Generative AI, and Cloud solutions. My expertise includes leveraging tools and frameworks such as Pandas, Matplotlib, Seaborn, Scikit-Learn, OpenCV, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, ChatGPT, Gemini, Llama, Cohere, Pinecone, LlamaIndex, and more to build innovative solutions. I am an AWS Certified Generative AI Developer Professional, AWS Certified Machine Learning Engineer Associate, AWS Certified AI Practitioner, Google Cloud Certified Associate Cloud Engineer, Google Cloud Certified Generative AI Leader, a Databricks Certified Generative AI Engineer Associate, and an Oracle Cloud Infrastructure 2024 Generative AI Certified Professional. I am skilled in data analysis, predictive modelling, sentiment analysis, classification, regression, clustering, and object detection. My strong foundation in Python, JavaScript, and SQL, coupled with experience developing REST APIs, enables me to create robust solutions. I am also well-versed in cloud computing, with expertise in deploying machine learning models on both Google Cloud and AWS. 🚩AREA OF EXPERTISE ----------------------------------- ✔️ LLM Fine-tuning & Deployment ✔️ Generative AI Applications ✔️ Retrieval-Augmented Generation (RAG) ✔️ Machine Learning (ML) and Deep Learning(DL) ✔️ Data Analysis and Visualisation ✔️ Natural Language Processing(NLP) ✔️ Time series forecasting, Anomaly detection ✔️ AI Applications building using open-source models and Hugging Face tools ✔️ GCP & AWS AI Services ✔️ API Development 🚩TECHNICAL SKILLS -------------------------------------------------------- ✔️ Python, JavaScript, SQL ✔️ LangChain | LangGraph | LlamaIndex | Autogen | Swarm | CrewAI | OpenAI GPT-4o | Claude | Gemini | Llama 3 ✔️ Pinecone | Qdrant | Chroma | FAISS ✔️ Numpy, Pandas, Jupyter Notebook, Matplotlib, Seaborn, Plotly ✔️ SciKit-Learn, NLTK, BeautifulSoup, Statsmodel ✔️ TensorFlow, Keras, PyTorch, PyTorch Lightning ✔️ OpenCV, Scikit-Image, Pillow, Tesseract ✔️ DNN, CNN, RNN/LSTM, GAN ✔️ Hugging Face Transformers, ✔️ FastAPI, Flask, Streamlit I believe clear communication is key to success, and I prioritise understanding my clients' needs and vision. I'm excited to apply my skills to new challenges and am confident in making valuable contributions to any team. Thank you for considering my profile, and I look forward to the opportunity to work with you soon.

Hi, I am Omer Faruk — a Computer Vision expert with a PhD in the field and over 15 years of hands-on experience bridging academic research and real-world AI solutions. My work spans from implementing cutting-edge academic papers to deploying production-ready AI systems. 🎓 Academic & Computer Vision Background My research foundation is deep and practical: ➡️ Developed a GAN-based facial image augmentation approach using latent space exploration via GAN inversion — outperforming existing methods in the literature as part of my PhD thesis. ➡️ Performed 3D facial expression recognition using point clouds and surface patches, achieving superior emotion recognition accuracy by combining both modalities. ➡️ Published multiple papers on skin lesion classification and segmentation in top-tier journals, achieving state-of-the-art performance on well-known benchmarks in the medical imaging literature. 🤖 Generative AI (Image & Video) ➡️ Stable Diffusion, Flux Dev / Schnell / Pro, DALL·E, Midjourney, ControlNet, ComfyUI, HunyuanVideo ➡️ Fine-tuning Flux models using Replicate and Fal ➡️ Deploying generative pipelines on cloud GPU providers like RunPod and Modal 🧠 Large Language Models & AI Agents ➡️ Integrating and deploying GPT-4, Claude 3 (Haiku, Sonnet, Opus), Llama, Mistral, Falcon, Gemma ➡️ Building intelligent agent pipelines with LangChain, CrewAI, AutoGen ➡️ Custom Model Context Protocol (MCP) server development 🗣️ Voice AI & Conversational Agents ➡️ Production-grade voice agents with VAPI, Bland AI, Pipecat AI, Air.ai ➡️ Real-time audio via WebRTC and WebSockets ➡️ Text-to-speech integration: ElevenLabs, Coqui, Bark ➡️ OpenAI Realtime Audio / Speech-to-Speech API 🔍 RAG & Vector Databases ➡️ End-to-end RAG pipelines for document Q&A, semantic search, and knowledge-grounded chatbots ➡️ Vector stores: Pinecone, Weaviate, FAISS, ChromaDB, PGVector 🖥️ Local LLM Deployment ➡️ Model quantization — GGUF, GPTQ, AWQ, INT4/INT8 for memory-efficient inference ➡️ GPU/CPU offloading strategies for running large models on constrained hardware ➡️ Serving via Ollama, LM Studio, llamacpp, vLLM, Text Generation Inference (TGI) ➡️ Model sharding, layer offloading, KV cache optimization ➡️ Context window management for production-grade private AI deployments 🛠️ Tech Stack ✔️ Computer Vision → OpenCV, PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, SciPy, Pandas, Matplotlib ✔️ Generative AI → Stable Diffusion, Flux, ComfyUI, ControlNet, HunyuanVideo, DALL·E, Midjourney ✔️ LLMs & Agents → LangChain, CrewAI, AutoGen, MCP, GPT-4, Claude 3, Llama, Mistral, Gemma, Falcon ✔️ Local LLM → Ollama, LM Studio, llama.cpp, vLLM, TGI, GGUF, GPTQ, AWQ ✔️ RAG & Vector DBs → Pinecone, Weaviate, FAISS, ChromaDB, PGVector ✔️ Voice AI → VAPI, Bland AI, Pipecat AI, ElevenLabs, Coqui, Bark, WebRTC ✔️ Cloud & GPU → RunPod, Modal, Replicate, Fal, HuggingFace If you're looking for a specialist who combines deep academic expertise in Computer Vision with modern Generative AI and LLM capabilities, let's connect. I'm ready to take on challenging problems and deliver quality results.

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

Greetings! I'm a dedicated Analyst with a strong foundation in both nuclear engineering and data analysis. I bring a unique blend of technical expertise and analytical skills to the table. My journey into the realm of data analysis has been enriched by successfully completing the Professional Data Analyst course by Data Camp. This intensive program has equipped me with advanced proficiency in SQL and Python, allowing me to manipulate and derive meaningful insights from complex datasets. I proudly hold a degree in Nuclear Engineering from the prestigious National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine's leading technical institution. This academic background has honed my problem-solving abilities and analytical mindset, essential traits that seamlessly translate into the world of data analysis. What sets me apart is not only my technical acumen but also my genuine passion for both data and energy. I believe in harnessing the power of data to drive informed decision-making, whether it's optimizing nuclear processes or unraveling insights in the realm of energy consumption. My goal on Upwork is to leverage my skills and passion to contribute meaningfully to data-driven projects. Whether it's extracting actionable intelligence from datasets or exploring the intersection of data and energy, I'm ready to bring my expertise to your project. Let's collaborate to transform data into valuable insights and propel your projects to new heights!

Experience in: Speech to Text Conversion Text to Speech Synthesis Natural Language Processing (NLP) Computer Vision and Neural Networks CUDA, PyCuda I'm a Machine Learning Engineer passionate about innovation and eager to work in Japan's technology sector. With expertise in various areas such as speech processing and GPU computing, I am looking for opportunities to contribute my skills in the Japanese market. I would also appreciate assistance with the work visa process for potential relocation. Feel free to reach out for collaboration or inquiries.

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

I am a results-driven Machine Learning Engineer and AI Developer specializing in building scalable, production-ready solutions in natural language processing (NLP), deep learning, predictive analytics, and intelligent automation. My work combines advanced machine learning algorithms with practical deployment strategies to deliver real-world impact. I help businesses turn raw data into actionable insights and AI-powered applications. Core Specialties: • Natural Language Processing (NLP): Text classification, document clustering, named entity recognition (NER), summarization, large language models (LLMs), question answering • Predictive Modeling: Forecasting, regression, classification, customer behavior modeling, time-series analysis • Deep Learning: Computer vision, sequence modeling, transformer-based architectures (BERT, GPT, etc.) • AI Automation & Data Pipelines: Web scraping, real-time data processing, ETL pipelines, API integration, automation with Python • LLM Integration & Fine-Tuning: Custom solutions using OpenAI, Hugging Face, LangChain, vector databases (Pinecone, FAISS) Tools & Technologies: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, FastAPI, Flask, SQL, Pandas, NumPy, Docker, AWS, Google Cloud I build AI systems that are clean, modular, and optimized for performance. Whether you need an AI prototype, a production-ready machine learning pipeline, or an NLP application powered by large language models—