Hire the Best Data Scientists
in Georgia

Hello, I am investing all my time and resources in Upwork ☝ My experience covers data analysis, AI/ML model training, fine-tuning, and deployment to production on AWS, GCP, Azure, or edge devices. ⬣ Skills : GenAI : RAG, Vector databases, LLM finetune, AI Agent/Multi Agent systems. Machine Learning : classification, regression, similarity search. Computer vision : object detection&tracking, pose estimation, image processing. ⬣Programming languages : Python, MATLAB,C#. ⬣ ML/DL LIBRARIES : TensorFlow, Scikit-Learn, Keras, Pandas, Numpy, OpenCV,Pytorch, HuggingFace,Unsloth, Ultralytics. ⬣ Inference engines: llama.cpp, OLlama, LiteRT-LM, TensorRT. ⬣ Certificates : ✅ AWS Certified Solutions Architect Professional ✅DeepLearning.AI Machine Learning Engineer for production I AM READY TO IMPLEMENT YOUR PROJECT AND CONVERT YOUR IDEAS INTO A REALITY!

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, luxalgo

I am a mathematician that wants to help businesses of any size to stay competitive and improve using modern advances in applied and industrial mathematics. I have experience with Analysis, Measure theory, Geometry, Modelling, Optimization and Machine learning. I am interested in working closely with technical staff of the client business and designing new or improving existing models for the better production and performance of either physical or digital products and processes. My usual project involves understanding the real-life problem encountered in the industry, creating suitable mathematical models, formulating the corresponding mathematical problems, and solving them.

I enjoy applying predictive modeling and machine learning to deliver value for my clients, assisting them with decision-making and automating their tasks intelligently. I was the winner of the USA Electricity Prices Prediction contest, held among four qualified Upwork data scientists. Through numerous experiments, I've developed expertise in often-overlooked ML techniques such as feature selection, ensembling, calibration, and hyperparameter tuning, where I’m developing novel approaches for my upcoming AutoML library, Diogenes. These days, my work primarily focuses on tabular machine learning tasks within the Python ecosystem [scikit-learn, gradient-boosted trees, PyTorch, Keras, TensorFlow]. I have experience with various software but currently prefer PostgreSQL for data storage, Plotly and Seaborn for data visualization, and Dash for dashboarding. For efficiency, I use Numba to accelerate my Python code and Dask to handle large computations across clusters when single-machine multiprocessing isn't enough. I prefer Polars as a dataframes engine. I prioritize code quality and continuously work to adopt best practices in my development process. While it's not perfect yet, I’m committed to improvement. In my free time, I contribute to open-source projects and explore ML applications in finance and trading. What I can do for you: ⭐️ generate ideas to optimize your business (pricing, customer engagement, ads and many more) ⭐️ build real-time decision support systems that take into consideration many factors and execute optimal actions ⭐️ train predictive models for your business needs (sales, churn, uplift, next-best-action, propensity) ⭐️ automate natural language processing (NLP) and Computer Vision (CV) tasks: improve products descriptions, analyze customers reviews, classify images ⭐️ build modern AI integrations (OpenAI's ChatGPT, Gemini, Claude etc) ⭐️ produce professional reports & dashboards, generate insights from your data ⭐️ create distributed applications, conduct high performance cloud computing (Azure/EC2/GCP) ⭐️ scrape, process, and structure data from APIs and web sources for analytics or reporting ⭐️ automate your daily routines (emails, documents, files, reports) ⭐️ develop and test trading and sports betting strategies and bots ⭐️ manage your Facebook or Google Ads programmatically (via Facebook Marketing API and AdWords API) ⭐️ move data to/from your eCommerce stores and CRM systems like Ebay, Amazon (MWS API, Product Advertising API, Ads API, Seller Central reports), Bigcommerce, Zoho, Shopify, SmugMug, Quickbooks, Salesforce, Airtable, etc.

Hi there! Andrei is here. I am a Top Rated Zendesk Expert. Recognized The Wise One by Zendesk (Community Day 2021) 🧙‍♂️ ⚠️⚠️⚠️ I take on limited new projects atm. I recommend our automated Zendesk Health Check service (visit - pythia.cc/products/health). Save $1000s and get the best setup ever. 🏆 My most remarkable Zendesk implementation is the long-term project with the largest POD startup (300+ agents). I helped to migrate from Intercom to Zendesk, then optimized and configured the multi-tenant Zendesk instance. ZENDESK The typical use cases ("pains"), where I can help, are: 🤔 Understand if you are using Zendesk at maximal scale (Zendesk Health Diagnostics) 🤔 Setting up your "fresh" Zendesk account using best practices in customer service 🤔 Optimize your current workflows to prevent losing tickets and responding too late 🤔 Clean and reboot your old heavy Zendesk account to get the rocket-star support platform 🤔 Explore and compare how your agents perform using custom Zendesk reporting My Zendesk expertise covers: ✅ Support system migration (from Gmail, Outlook or any ticketing / CRM system) ✅ Channels setup (Zendesk Support, Chat, Talk, Guide, Text, custom integrations) ✅ Ticketing workflow setup and optimization (Forms, Channels, Macros) ✅ Business processes automation setup and scaling (SLAs, Triggers, Automations) ✅ Help center (aka Zendesk Guide) setup & branding ✅ Basic and advanced reporting and agents KPI system creation (in Zendesk Insights) ✅ Developing of the custom Zendesk apps (with yours or my developers) What makes me outstanding: 👑 Scientific background – I have structured thinking and data analytics skills. 👑 Consulting background – I use efficient and proven methodologies in my work. 👑 Multi-domain experience – I have rich practical knowledge in many business domains. I use my own special step-by-step structured approach and templates (using Google Docs) for Zendesk implementation based on next methodologies: 📗 CJM (Customer Journey Mapping) – great customer experience analytics and management methodology allowing your support system to be really customer-centric. I use it by implementing workflows via ticket fields and forms in Zendesk. 📗 KCS (Knowledge Centered Service) – mature and advanced support and service management methodology (supported in Zendesk via official Knowledge Capture app). I use it for creating knowledgebases for efficient customer self-service. 📗 NPS (Net Promoter Score) – well-known customer loyalty analytics and management methodology (is present in Zendesk as NPS Surveys). I use it for analyzing customer feedback and defining the most critical drivers in general and support-related customer experience. ☝ I guarantee you a free exploration call to discuss your business needs before you decide to hire me. Happy Support!

I am a machine learning researcher and developer, data scientist, mathematician, computer scientist, statistician. I have worked as a database analyst at the N1 insurance company in Georgia. My experience includes working as an AI/ML developer, data scientist, and lead data analyst. I have also worked as a professional consultant and a proofreader in high-level mathematics and computer science educational projects, including Khan Academy related projects. I love working on projects online, feel free to give me any project or work in the fields of AI/ML, mathematics, data science, data analysis, or algorithms and data structures, and I will complete it perfectly in the shortest time possible. * I'm experienced in Python, Microsoft SQL (MS SQL for RDBMS), C++, Power BI. I also use Excel and other Microsoft Office products to the level that is necessary for data science. * I'll complete your work exactly as you ask me, the final product will meet all of your requirements, in case of any questions I am glad to adapt the project as you wish. Leaving my customers happy is my top priority. * It is important to me to make sure that me and my client are on the same page about every important detail of the project, so let's keep in touch!