As a passionate and dedicated data scientist, I bring a strong foundation in mathematics and advanced expertise in machine learning and graph theory. I hold a master's degree from IIT Jodhpur, where I was a silver medalist, and am currently pursuing a PhD at IIT Bombay, focusing on graph machine learning. My academic journey has been complemented by hands-on experience as a teaching assistant in various courses related to machine learning, deep learning, and mathematics. This role has honed my ability to simplify complex concepts and guide students through challenging material. With a solid background in both theoretical and applied aspects of data science, I am eager to take on freelance projects that involve data analysis, model development, algorithm optimization, and more. Whether you're looking for someone to help with academic research, develop custom machine learning models, or provide insights from complex datasets, I'm here to deliver high-quality results. Let's work together to turn data into actionable insights and drive your projects to success!

🚀 Drive Business Growth with Advanced AI & Machine Learning Solutions! 🚀 Are you looking to unlock new revenue streams, gain deep insights, and streamline operations with cutting-edge data solutions? With over 4 years of dedicated experience in Data Science, Machine Learning, and Data Integration, I specialize in transforming complex data into actionable strategies that power real business results. As a Data Scientist and AI/ML Model Developer, I focus on creating tailored solutions that maximize profits and optimize efficiency for my clients. From predictive analytics to data visualization, my goal is to help you leverage data for impactful decisions and sustained growth. Why Choose Me? Proven Expertise: With hands-on experience in data science, machine learning, ETL processes, and business intelligence (BI) tools like Tableau and Power BI, I bring a comprehensive approach to data strategy and implementation. Industry-Specific Knowledge: Whether in real estate, retail, or other industries, I have a solid grasp of domain-specific data requirements to ensure relevant and practical insights. Data-Driven Results: My work spans the full data lifecycle—from data integration and warehousing to predictive modeling and reporting—giving you end-to-end support to meet your goals. 📊 Key Skills: Machine Learning & AI: Model development and optimization for predictive analytics and automation. Data Integration & Warehousing: Expertise in ETL and data warehousing using tools like Pentaho. Advanced BI Reporting: Hands-on experience with Tableau, Power BI, SQL, MySQL, PostgreSQL, and MongoDB. Cloud Platforms: Skilled in Azure Cloud for deploying scalable and secure data solutions. Python for Data Science: Extensive experience in Python libraries and frameworks for data analysis and model building. 💼 Let’s Connect! If you're ready to harness the power of data to fuel your success, feel free to reach out for a free consultation call. Let’s create data solutions that make a difference for your business!

I help businesses build AI chatbots, RAG systems, and LLM-powered applications that are accurate, scalable, and ready for real-world use. I’m a Machine Learning and Generative AI Engineer with 4+ years of experience building AI solutions using Python, LangChain, LlamaIndex, NLP, and cloud platforms. I can help with: • AI chatbots • RAG pipelines for PDFs and knowledge bases • LLM apps using LangChain and Hugging Face • Prompt engineering and response optimization • NLP tasks like classification, summarization, and semantic search • Python APIs and production AI deployment Tech stack: Python, SQL, LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, TensorFlow, PyTorch, AWS, GCP, Azure, Docker, Kubernetes. Why work with me: Clear communication, practical solutions, and focus on business results.

I represent an award-winning company called LITSLINK. We are a product-oriented development team (which consists of 250+ highly qualified software engineers, UI/UX designers, business analysts, project architects, project managers, and QA engineers) experienced in almost all popular areas: ✅ AI: Machine Learning, Computer Vision, Natural Language Processing, Big Data Analytics ✅No-code, Low-code: Bubble, WebFlow ✅ Blockchain: Solidity, Rust, Solana/Near blockchains, smart contracts ✅ Cross-Platform Mobile development React Native, Flutter ✅ Web development: Front-end (React.JS, Vue.JS, Angular.JS); Back-end (Node.JS, Java, Python) ✅ AR/VR: Untiy3D/C#, Hololens, Hololens 2, GearVR, MS Mixed Reality, Oculus, HTC Vive, iOS/Android (AIRKit, ARCore) We provide smart and fast solutions on time and on budget. By hiring us, you are getting the expertise of our software architect board and the whole team's knowledge. Whether you need a single developer or a whole team, we are here to help.

Hi — I’m Farshad, a quantitative developer and AI engineer with a PhD in Artificial Intelligence and 10+ years of experience in algorithmic trading, AI/ML, and Python-based trading infrastructure. I build production-grade algorithmic trading systems across equities, options, crypto, and prediction markets (IB/Thinkorswim,tradestation,polymarket), covering the full lifecycle from research and backtesting to live execution and risk management. **Live trading & production experience** * ~$2.5M capital under management (2026) * 2+ years of continuous live deployment * Thousands of real-time trades executed across equities, options, and crypto * Only $8M live trading volume in Q1–Q2 2024 * 14,000+ backtests run in 2024-2025 * 100,000+ lines of production trading code written in 2024 **What I specialize in** * Algorithmic trading strategy development * Options strategies (debit/credit spreads, short premium, Greeks analysis) * Volatility and regime forecasting using AI/ML * Agentic trading workflows (autonomous model + execution + risk loops) * Backtesting and execution infrastructure * Market microstructure and anomaly detection **Platforms & infrastructure** * QuantConnect Lean (Python) * NautilusTrader * Interactive Brokers, Binance * Polygon market data * PostgreSQL / cloud databases * Docker & cloud-based deployments **Open-source contribution** * Active contributor to an open-source options trading framework for QuantConnect: (focused on production-ready options strategy architecture and execution logic) I work as a hands-on engineer who can take trading ideas from prototype to production, with transparent communication and structured delivery.

I’m a Machine Learning engineer with 3+ years of hands-on experience building full-stack AI solutions, from model development to deployment. I’ve delivered systems in OCR, predictive modeling, semantic search, and chatbot development using Python, Tensorflow, and Langchain. 🏆 Placed 2nd globally in the Huawei ICT Competition and 3rd in the NETSOL AI Hackathon, showcasing my ability to build high-impact solutions under real-world constraints. 💡Recent Projects: ✦ EV Fleet Optimization System – Designed predictive models for energy use and routing using CatBoost + GMaps API; deployed via FastAPI with live charging data. ✦ No-Code Website Assistant Builder – Built a full-stack platform using FastAPI and Next.js that lets users create intelligent, website-aware chatbots by simply entering a URL or uploading documents. ✦ Handwriting OCR – Created and deployed a handwriting-to-text system via Streamlit, leveraging CNNs-RNNs architecture and OpenCV. 🤝I bring not just code but end-to-end problem-solving – understanding your business case, selecting the right models, and shipping real solutions. 💼 Tools: Tensorflow, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Azure, FAISS, Streamlit, Gradio, NEXT.js, n8n. Let’s talk if you're building an intelligent product or automating insights through AI.

I'm an Economics graduate with a strong focus on data science and quantitative analysis. My academic background combined with practical experience at Hilton's finance department has given me a solid foundation in working with real-world data and understanding business contexts. What I do best is transforming complex datasets into meaningful insights. I recently completed a comprehensive analysis of US demographic and political patterns across over 100,000 records covering all 3,109 counties. This project involved advanced spatial analysis, i can use GeoDA and R(sf,sp packages) , machine learning models including Random Forest and XGBoost, and creating interactive visualizations that revealed significant correlations between demographic factors and voting behaviors. My technical expertise spans several areas: Statistical Analysis & Machine Learning: I work extensively with R and Python for econometrics, spatial analysis, and predictive modeling. I'm experienced with packages like spdep for spatial regression, leaflet for interactive mapping, and caret for machine learning workflows. Data Collection & Processing: I've built automated systems for gathering and processing large datasets. One notable project involved creating an intelligent web scraping system for real estate data that handles anti-detection measures and processes thousands of property listings with smart batch processing and risk management. Blockchain & DeFi Development: I've developed a sophisticated oracle system that connects real-world market data to blockchain smart contracts. This project demonstrates my ability to work across different technology stacks, from web scraping and data analysis to Solidity programming and Web3 integration. What sets me apart is my ability to bridge academic rigor with practical application. My economics background helps me understand the business implications of data analysis, while my technical skills allow me to implement robust, scalable solutions. Whether it's spatial analysis for policy research, automated data collection for market intelligence, or building systems that operate at the intersection of traditional finance and emerging technologies, I approach each project with careful methodology and attention to detail. I believe in delivering work that's not just technically sound but also well-documented and reproducible. All my projects include comprehensive documentation, clear methodologies, and code that others can understand and build upon.

Hello! I'm a Generative AI and Machine Learning Practitioner With over 6 years of experience in Machine Learning and Data Science, I specialize in building state-of-the-art Gen AI and Computer Vision applications that drive real business impact. What I do: Build Generative AI applications (RAG systems, LLM fine-tuning, document Q&A bots) using LangChain, Hugging Face, OpenAI, and vector databases. Develop Computer Vision models for tasks like object detection, face recognition, and image classification using YOLO, CNNs, and OpenCV. Use advanced data analytics and statistical modeling (Bayesian, predictive analytics) to help businesses make smart, data-driven decisions. Design and deploy robust, production-grade ML and Gen AI applications on Azure using services like Azure Web Apps, Azure Kubernetes Service (AKS), Azure ML, and Azure AI Foundry. My motto is to help you turn your data into production-ready AI solutions, ensuring both speed and reliably. 💼 Tools I Use: Python, PyTorch, TensorFlow, OpenCV, Azure ML, LangChain, Hugging Face, FastAPI, Power BI, PySpark, SQL, R (BRMS) and more.... Let’s talk if you’re looking to: Build or scale your AI/ML product Experiment with Generative AI for your business use-case Develop a custom computer vision solution Migrate or deploy models on Azure cloud

I'd describe myself as being very resourceful and ambitious at the same time. I seem to be very good at intuitively finding solutions to scientific problems(Maths & Software design) . I've strive to complete software development and data science projects with great quality . Skills: Algorithm implementation Programming Languages (C#,Python, C++, Rust) Cloud Computing Quantitative research Entrepreneurship Data scientist Mathematical modelling Project Management Ai & Deep Learning Research

Experienced Data Researcher & Data Annotation Specialist **Profile Overview:** I am a dedicated and detail-oriented data researcher and annotation specialist with over 4 years of experience in providing high-quality data solutions. My expertise lies in conducting thorough research across various industries, including tech, healthcare, and finance, to deliver accurate insights that drive decision-making. Additionally, I excel in data annotation, ensuring that datasets are meticulously labeled for machine learning and AI applications. **Services Offered:** - **Data Research:** Comprehensive market analysis, competitive landscape assessments, and industry trend reports. - **Data Annotation:** High-quality labeling for images, text, and audio, tailored to specific project requirements. - **Data Management:** Data cleaning, organization, and preparation for analysis using tools like Excel, Google Sheets, and Python. **Key Skills:** - Strong analytical and critical thinking abilities - Proficient in SQL, Excel, and data visualization tools - Excellent communication skills for clear reporting and collaboration - Familiarity with machine learning principles and data requirements **Why Choose Me?** I am committed to delivering results that meet your specific needs. I pride myself on my attention to detail and my ability to manage projects efficiently. With a proactive approach, I ensure timely delivery and open communication throughout the project lifecycle. Let’s work together to turn your data challenges into actionable insights! **Contact Me:** I look forward to discussing how I can help you achieve your data goals. Feel free to reach out for a consultation or to ask any questions!