Hire the Best Scikit-Learn Specialists
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I have 6+ years experience as an ML/NLP Engineer. I worked with Micro1 where we developed a smart networking app which was aimed at encouraging and reconnecting old friends to meet where an AI bot came up with plans matching friends and planning the outing based on preferences. I managed the entire ML framework for this app combining Gen AI tools with ML algorithms for matching. I have experience with finetuning gen AI tools, RAG, using copilot to enhance code. I worked with a company to develop a virtual assistant using gpt 3.5 and pincone with the help of langchain using RAG I have worked on various data extraction and classification models. I work on Python and have worked with various libraries, Spacy, scikit learn, pandas, numpy being a few. I have been working remotely for the last 5 years so I am familiar with working on projects on remote servers and version control through git. I have a Masters Degree in Computer Science from the University of Southern California.

Data Driven Brilliance With Machine Learning And Data Science- Hi, I'm Saurabh a Data Scientist with hands-on experience in solving real-world Data Science problems using Machine Learning, AI, and Data Analytics. Drop any questions u have in chat i would love to answer them I have over 4 years of experience in ML and Data science which i have showcased in my portfolio. I specialize in: Deep Learning (TensorFlow/Keras) Python, Pandas, Scikit-learn, XGBoost Data Cleaning, EDA & Visualization (Plotly, Tableau) AI-Powered Dashboards (Streamlit, Flask) API Integration and Model Deployment Predictive Modeling (Classification, Regression) Customer Segmentation & Churn Analysis Sales & Revenue Forecasting Time Series Analysis Whether you need a powerful ML model, business insights, or a clean dashboard, Ill deliver high-quality, production-ready results. Lets turn your data into smart decisions. Contact me now to discuss your project!

3+ years of Experience as Full-Stack AI Engineer⚡|| LLMops Specialist || 🎯Delivered production-grade AI solutions for enterprise clients including AMD and Emerson || Product Development & Monitoring || Architect Solutions of ML DL NLP LLM Hello👋 I'm Mahendra, and I'm truly excited to have you here on my profile today ! ✨ ⚡ With over a 3+ years of experience and a specialized degree 🎓 in Data Science establishes a solid foundation of trust 🔒 and assurance 🤝 - 💼 A highly dedicated and results-oriented Data Scientist with a strong background in AI and passion for solving complex business problems. -🎯Skilled in Machine Learning, Deep Learning, NLP, Generative AI and AIOps -🚀Adept at building end to end pipelines, developing ML, DL, NLP, LLM Applications, deploying models seamlessly to production ☁️ 🛠️ Technical Skills: ✅ AI Frameworks: LangChain | LlamaIndex | Agno | LangGraph | AutoGen | Hugging Face | Crew AI ✅ AI Models: OpenAI | Gemini | Llama | Hugging Face | Claude | Ollama | Mistral | DeepSeek | GLM | Kimi ✅ AI Tools Harnesses : Claude Code | Google Antigravity | OpenCode | OpenAI Codex ✅ Data Storage & Vector Database: SQL | MongoDB | Pinecone | ChromaDB | Faiss | Postgres | Azure AI Search | Milvus | Qdrant | Weaviate | pgvector ✅ Methodologies: Machine Learning | Deep Learning | NLP | Generative AI (LLM) ✅ Programming Languages & Libraries: Python | pandas | NumPy | Matplotlib | seaborn ✅ Tools: MLFlow | DVC | Docker | Git & GitHub | Flask | Airflow | Evidently AI | Fast API | Pydantic ✅ Frameworks: Scikit-learn | TensorFlow | Keras | PyTorch | LangChain ✅ Data Science Techniques: Data Pre-processing | Feature Engineering | Feature Selection Model Building Evaluation | Model Monitoring ✅ Cloud Services: AWS | Azure | Docker Hub ✅ AI/ML Operations: Deployment | Monitoring | Experimentation ✅ CI/CD: GitHub Actions ✅ OS: Linux ✅ Dashboarding: Tableau | Microsoft Excel | Statistical Analysis Generative AI Techniques ✨ Advanced RAG & Agentic RAG - Hybrid Search + Reranker ✨ Chunking Strategies ✨ LLM Summarizer ✨ AI Memory ✨ Chatbots-Q/A ✨ Knowledge Graphs ✨ Fine Tuning LLM ✨ AI Agents , SQL Agents & Multi Agents ✨ Prompt Engineering ✨ Open source & Closed Source AI Models ✨ MCP Servers ✨ PII Detection ✨ LLM Evaluations - Retriever, Generator Evaluators ✨ Custom AI Enterprise Solution DATASCIENCE TECHNIQUES ✔️ Collecting Raw Data ✔️ Defining Problem statement ✔️ Exploratory Data Analysis ✔️ Feature Engineering ✔️ Feature selection ✔️ Model Building ✔️ Hyperparameter Tuning ✔️ Model Evaluation Machine Learning Techniques ⚡ Classfication ⚡ Regression ⚡ Clustering ⚡ Outlier Detection ⚡ Tree & Non Tree ML Models ⚡ Hyperparameter Tuning ⚡ Ensemble Learning - Bagging, Boosting, Stacking ⚡ Evaluation Metrics Performance Optimization NLP & Deep Learning Techniques 💫 Text Classification 💫 Sentimental Analysis 💫 NLP text Preprocessing 💫 Text Encoding Techniques 💫 Word Embeddings 💫 ANN, LSTM, RNN 💫 Transformer Architecture (LLM) 💥 END-TO-END DATA SCIENCE PROJECT EXPERTISE 💥 ADEPT AT BUILDING END TO END PIPELINES ETL 💥 PREDICTIVE MODEL, GEN AI PRODUCT DEVELOPMENT 💥 PRODUCT DEPLOY 💥ARCHITECT SOLUTIONS OF ML DL NLP GENAI 🏆 Achievements: 👉 Demonstrates my ability to design innovative ML, DL, NLP, GENAI solutions tailored to your needs. 🏅 Top 6% in a global Kaggle Data Science competition with a custom machine learning stacking Model No AutoML tools used. 🚀 Over 50+ end-to-end projects on GitHub showcasing expertise in Machine Learning, Deep Learning, NLP, and Generative AI. 📂End-to-End Projects I Have Developed: 🔹 RAG | Multi-Agent RAG | Fine-Tuning LLM | SQL Agents | LLM Summarizer 🔹 Llama Index Azure AI Search Advanced accurate Production level RAG 🔹 LangGraph Multi AI Agent Routing between (RAG + SQL + Normal Q&A) 🔹 Accurate Advanced Agentic RAG 🔹 Cost effective Earnings Call Transcript LLM Summarize 🔹 Medical Chatbot | LLM + Custom PDF Data 🔹 Steel Plant Load Prediction 🔹 Retail Price Optimization 🔹 Sentiment Analysis App 🔹 Medical Insurance Price Prediction 🔹 Customer Attrition Prediction 🔹 MCQ Generator | LangChain + Huggingface LLM 🔹 Insurance Cross-Sell Prediction 🔹 MongoDB Connect | Streamlining Database Connectivity 🔹 Restaurant Revenue Prediction 🔹 Sales Prediction App 💡 Let’s Collaborate: 📌 I'm eager to bring my expertise in data science to your projects and deliver exceptional results. 📌 Let’s collaborate to quickly bring your projects from concept to reality and turn your data challenges into success stories! Would love to hear back from you soon! 😊

Hello, my name is Gunjan. I have a handful of professional experiences and research fellowships and have been practicing programming and Data Science for over 4 years. My main interests lie in Machine Learning, Deep Learning, Computer Vision, and NLP/NLU, Data Analytics; I consider these to be my forte and have also published papers related to AI and Data Science in top journals on the same. My expertise is in the following domains: 1) Data Science 2) Artificial Intelligence 3) Machine Learning 4) Deep Learning 5) Natural Language Processing 6) Computer Vision 7) Data Analytics 8) Statistics 9) Data Structures & Algorithms

"I am a Data Scientist and AI practitioner with a 100% Job Success Score on Upwork, 37 completed projects, and a published YouTube channel (@datasciencehorizon) teaching Data Science and AI to thousands of students. I help businesses extract insights from data, build AI workflows, and create technical content that their audience actually understands." ✅ My website: datasciencehorizon ✅ My YouTube Channel @datasciencehorizon I teach data science to many people through my website and YouTube channel. I am proficient in: ✅ AI Automation Projects: AI Agents ● Agno (Phidata) ● Zapier ● GroqCloud ✅ AI Assistant tools: ● Hands-on guides for Claude, ChatGPT, Gemini, Copilot, and Perplexity ● Prompt Engineering ● Generative AI and LLMs ● Build real AI workflows ✅ Data Science and Machine Learning: ● Regression and Classification Models ● Ensemble models ● Data Visualisation with Python and Power BI. ✅ Natural Language Processing (NLP): ● BOW, TF-IDF, W2Vec, Glove Embeddings ● Text classification (including Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc.) ● RNNs and LSTMs ✅ Computer Vision (CV): ● Image Classification ● Object Detection (OpenCV, YOLO) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) and different Computer Vision techniques like CNN, RCNN, Fast RCNN, Faster R-CNN, Mask-R CNN. ✅ Data Analyst (Power BI and Python) ● Complete EDA with Python ● Experienced Data Analyst with hands-on experience with Power Query Editor and DAX Queries in Power BI. ● Data Analyst, Sales Analyst, Finance Analyst, and Supply Chain Analyst in Power BI. ● Expert in creating various Dashboards and analyzing in detail. ● Importing data from multiple sources and exporting the dashboard to the Power BI Service. ✅ I am a certified SEO content writer and Data Scientist. ● Technical Articles with Python Code ● AI research articles ● Data Analysis Article with all graphs and plots. ● ML/AI content writing for EdTech and students ✅ Technical Skills ● Python, R, TensorFlow, Keras, PyTorch, Pandas, NumPy, Seaborn, Matplotlib, Plotly, OpenCV, YOLO, BERT, Transformer, NLTK, Mask-RCNN, LLM, Generative AI, Google Docs, Microsoft Excel, Microsoft Office, MySQL, Power BI, Java, J2EE, Spring, Hibernate, Claude, Gemini, ChatGPT, Perplexity, AI Agents and AI Workflows I am committed to delivering high-quality results, and my experience ensures I bring a comprehensive, insightful approach to your project. Please review my portfolio and my work history for testimonials from previous clients. Thank you for considering my profile. I look forward to collaborating with you soon.

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).