Hire the Best Sentiment Analysis Specialists

🏅 Top Rated AI/ML Expert on Upwork (Top 1%) 🏅 AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows 🏅 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients 🏅 Experience Across Microsoft, Google, American Express & High-Growth Startups 🏅 Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL 🔹 LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problems—from idea to deployment. My work includes document intelligence systems, AI copilots, enterprise search, summarization engines, Q&A systems, and workflow automation platforms. Built solutions for: ✔ Due diligence copilot for investment workflows ✔ Legal AI research platforms ✔ Resume/CV parsing applications ✔ AI-powered document summarization systems ✔ Knowledge retrieval platforms using RAG 🔹 AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: ✔ Multi-agent workflows ✔ AI automation using OpenAI, Claude, LangChain & LangFlow ✔ Process automation using n8n ✔ Document processing pipelines ✔ Internal business workflow automation 🔹 NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: ✔ Named Entity Recognition ✔ Classification Models ✔ Clustering Models ✔ Recommendation Systems ✔ Text Processing Pipelines ✔ Custom ML model development 🔹 Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: ✔ Credit risk modeling ✔ Fraud analytics ✔ Customer segmentation ✔ Forecasting ✔ Marketing analytics ✔ Behavioral modeling 💼 Whether you're a startup building your first AI product or an enterprise looking to integrate Generative AI into existing workflows, I can help with: AI Strategy → Architecture → MVP Development → Deployment I combine deep analytical expertise with hands-on experience building real-world AI products that businesses actually use.

Do you need accurate, actionable insights from your survey, research, or business data to make informed decisions through powerful statistical and data science analysis? Look no further! I am a top-rated and full-time research data analyst with >8 years of experience in IBM SPSS, R, Python, SAS, STATA, NVIVO, JMP, JASP, Atlas.ti, Excel/Google Sheets. As a statistics wiz, survey expert, and data science practitioner, my areas of expertise include: ⭐️ Questionnaire/survey design & validation ⭐️ Survey & research data analysis: descriptive, inferential (Chi-Square, regression, correlation, t-test, ANOVA, etc.), predictive modeling ⭐️ Detailed interpretation & storytelling of results ⭐️ Report writing, academic formatting (APA, Harvard), and publication-ready outputs ⭐️ Advanced automation & scripting for reproducible workflows I provide a variety of services including but not limited to: ★ Sample size calculations ★ Correlation, regression, & multivariate analysis ★ Hypothesis testing & statistical modeling ★ Factor analysis (EFA/CFA), structural equation modeling ★ Predictive analytics & data visualization ▶︎ and much more My specializations: Health Research & Predictive Analysis Master's/Ph.D. Thesis & Dissertation Modeling Company Survey & Performance Analytics Social, Economic & Behavioral Data Science Projects What clients say 👉👉👉 ☆☆☆☆☆ "She is always of great help, and the turnaround time is on point. I can depend on her for assistance and explaining the work thoroughly." "Great work. Amazing communication and delivered the project on time." "Esther's results were clear, organized, and thoroughly explained. Excellent work! I'm so impressed! I appreciate her efforts and insight to the analysis of the project!" ☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further

🚀Principal AI/ML Engineer — 13 years · Expert-Vetted (Top 1% on Upwork) I build production AI systems end to end — from the bare-metal GPU infrastructure all the way up to the product your users actually touch. Not prototypes that die in a notebook: real, deployed, monitored systems that hold up under load. For 13 years I've designed, trained and shipped AI across large language models, generative AI, computer vision, speech and NLP — for clients in insurance, healthcare, finance, public safety and media. Today I run the on-prem GPU infrastructure behind a national AI platform, serving a 753-billion-parameter language model (GLM-5.2) across a 32-GPU NVIDIA B200 cluster that handles 1,000+ users at once. ⭐ What I can do for you 🔹 LLM serving & cost optimization — Kill your per-token API bill. Self-host open models (GLM, Qwen, Llama, Mistral, Kimi) on your hardware or cloud with vLLM/SGLang: tensor and expert parallelism, FP8 quantization, high concurrency, low latency, predictable cost. 🔹 Fine-tuning & custom models — SFT, LoRA / QLoRA and full fine-tunes tailored to your domain and language, including hard low-resource languages. (I fine-tuned Whisper for Uzbek to 10.5% WER and built custom neural TTS voices from scratch.) 🔹 RAG & knowledge systems — RAG with hybrid dense+sparse retrieval, rerankers, vector and graph DBs (Qdrant, Pinecone, Neo4j, NebulaGraph), plus evaluation so you can prove it got better. 🔹 Computer vision — Vision and speech, not just chatbots. Face analytics, object detection and tracking, OCR and document pipelines, health-from-video (heart rate, SpO2, BMI), real-time multi-camera video, streaming voice agents, AI calling systems, voice cloning, image and video generation. 🔹 AI agents & automation — Multi-agent systems, document processing, LLM-powered classification and extraction, and end-to-end workflow automation. 🔹 Generative AI — Image and video generation, avatars, voice cloning, text-to-speech and speech-to-text. GPU infrastructure that stays up. Bare-metal and cloud clusters, CUDA, multi-node inference, autoscaling, load balancing, monitoring, CI/CD. The layer most freelancers leave you holding. 🚦 HOW ENGAGEMENTS START • Cost audit — I look at what you spend on tokens or cloud GPUs and tell you what self-hosting or a smaller fine-tune would actually cost. • Prototype-to-production rescue — it works in a notebook or a demo; I make it survive real users, real load, real uptime. • Build from zero — model choice, infra, backend, deployment, monitoring, handover docs. ✳️ HOW I WORK • We agree on the target first: latency, cost per request, accuracy, concurrency. Numbers, not vibes. • I build inside your environment: your cloud or your hardware, your repo, your keys. You own all of it. • You get infrastructure-as-code, a runbook and working monitoring, not a model file and good luck. • You talk to the person writing the code. No account manager, no team behind me. • Straight answers. If a smaller model, cheaper hardware or no AI at all is the right call, I say so before you spend. 🛠️ STACK LLM/RAG: GPT-4.1/4o/o3, Claude 4, Gemini 2.5, Llama 3.x, Qwen 3, DeepSeek, Mistral, GLM, fine-tuning, hybrid and semantic search, prompt and context engineering, structured output, knowledge-graph RAG Agents: LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, OpenAI Agents SDK, DSPy, Haystack, MCP, function calling, long-term memory, human-in-the-loop Serving & GPU: vLLM, SGLang, Ollama, NVIDIA NIM, CUDA, quantization, autoscaling, load balancing, cluster ops ML: PyTorch, TensorFlow, Hugging Face, Transformers Speech: Whisper, Faster-Whisper, speech recognition, TTS, speaker recognition, real-time voice Vision & generative AI: YOLO, ViT, OCR, segmentation, medical imaging, multimodal, image and video generation, avatars Backend: Python, FastAPI, Django, Flask, REST/GraphQL/WebSockets/gRPC, Celery, Redis, Kafka, RabbitMQ, Airflow Data: PostgreSQL, MySQL, MongoDB, Elasticsearch, Neo4j, Pinecone, Weaviate, Qdrant, Milvus, ChromaDB, FAISS Infra: AWS, GCP, Azure, RunPod, Hetzner, Vast.ai, Docker, Kubernetes, Helm, NGINX, Traefik, GitHub Actions, Linux Integrations: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Twilio, WhatsApp Business, Slack, Salesforce, HubSpot, Stripe, OAuth2/JWT 📦 TYPICAL BUILDS Enterprise assistants and internal copilots · RAG and knowledge platforms · support, sales and SDR bots Voice assistants and AI calling · document AI and OCR pipelines · medical and financial AI Predictive analytics and recommenders · computer vision apps · workflow automation · AI dashboards 📩 Send me a message with what you're building and where it's stuck. One paragraph is enough. I'll tell you honestly whether I can help and exactly how I'd approach it, before you spend a dollar. If I'm not the right person, I'll say so.

I help businesses automate reporting, build reliable data pipelines, and develop machine learning solutions that turn raw data into actionable business insights. With 2+ years of experience, I've helped startups and businesses save time, eliminate manual work, and make better decisions through Python, SQL, automation, and AI-powered data solutions. Here's what I can help with 📊 Dashboards & Business Intelligence Looker Studio, Google Sheets, Excel, GA4 Google Ads & Search Console reporting CRM dashboards, KPI tracking, and executive reporting Interactive dashboards with automated refreshes ⚙️ Data Engineering & Automation Python scripting and ETL pipelines API integrations and data synchronization Workflow automation with n8n and Zapier Data cleaning, transformation, and scheduled reporting 🤖 Machine Learning & Predictive Analytics Classification and regression models Customer segmentation and churn prediction Forecasting and time-series analysis NLP and business analytics 🧠 AI & LLM Solutions OpenAI & Claude API integrations RAG pipelines AI-powered document extraction and summarization Intelligent business assistants and workflow automation 🧹 Data Preparation Cleaning messy spreadsheets and databases Combining data from multiple sources Fixing broken reports and improving data quality Preparing datasets for analytics and machine learning Why clients hire me ✔ Clean, maintainable, well-documented code ✔ Strong business understanding—not just technical implementation ✔ Clear communication and reliable project delivery ✔ Solutions built to be scalable, practical, and easy to maintain If you're looking for someone who can bridge the gap between business goals and technical execution, I'd be happy to discuss your project. --------------------------------------------------------------------------------------------------------------------- Data Scientist | Python Developer | SQL | Machine Learning Engineer | Data Analyst | Predictive Modeling | Classification | Regression | Data Cleaning | Data Visualization | Dashboarding | Looker Studio | Google Data Studio | Business Intelligence (BI) | Excel Dashboards | Google Sheets | Automation Specialist | n8n | Zapier | Python Scripts | ETL | Pandas | NumPy | Scikit-learn | NLP | Sentiment Analysis | Time Series Forecasting | ARIMA | Prophet | Streamlit

DATA SCIENTIST — everything I build, you can verify the math. I deliver transparent, auditable data models where every number can be checked. Specializing in quantitative research, statistical modeling, Data insights and automation. QUANTITATIVE RESEARCH & PORTFOLIO CONSTRUCTION : I build and backtest equities, with live execution and kill switches on Alpaca where needed. Position sizing, risk allocation, rebalancing logic, all of it grounded in the math, not gut feel. Quick example of how I think: a momentum strategy covering 145 stocks was delivering 41% CAGR. Expanding to 245 stocks dropped it to 36%. Counterintuitive. The root cause: New stocks were selected on hot recent momentum, so by entry their cycle was already done. Built a 5-filter Monte Carlo system, tested 700+ parameter combinations, to identify which satellites are early-cycle vs peaked. Result: 43%+ CAGR with lower drawdown than the 145-only baseline. The problem wasn't the strategy. It was the timing of entry. Another example: I built a live MBS (Mortgage-Backed Securities) forecasting and trading system for a fund client, covering 265+ cohort securities across weekly, monthly, and quarterly return horizons. The interesting part wasn't the ML, it was the feature design. Standard technical indicators on bond prices are noise. What actually drives MBS price movements is duration, convexity, prepayment rates, regime variables like curve steepness, VIX, and Fed MBS holdings. Every feature built from first principles, nothing borrowed from a vendor that can't be verified. This is where I spend most of my time. Systematic backtests, portfolio construction, Monte Carlo optimization. No black boxes, no ML hype every output can be checked in a spreadsheet. Not "add more data." Find the actual structure driving returns, and build features that reflect it. DATA SCIENCE & ANALYTICS I've worked across real estate, e-commerce, and financial analytics, usually called in when a team has data but no clear answer yet. I focus on getting to a decision you can act on, not a 40-slide deck. Results worth mentioning: ML automation cut a client's data processing from 286 days to 1 day, after they'd run the same manual process for two years without realizing it was automatable Ad spend attribution model that improved campaign ROI by 25% WHAT MAKES ME DIFFERENT ▸ I show my work. Every model, every analysis, every number comes with the method behind it, so you're never trusting a black box ▸ I'd rather tell you a strategy doesn't hold up than build you something that looks good and fails in real world. ▸ I scope real problems fast: send me what you're working with and I'll tell you within 24 hours if and how I can help

Greetings! I am a PhD candidate in Statistical Machine Learning (ML), and a certified Machine Learning Scientist and Data scientist (Upwork & IBM) with both Master’s and Bachelor’s degrees in Statistics. My strong academic foundation equips me advanced data science and ML workflows. I specialize in developing predictive models for financial markets—particularly in crypto and stock price forecasting—using time series analysis, deep learning, and ensemble methods. My work also involves designing and backtesting algorithmic trading strategies, optimizing model performance under live market conditions, and building interactive dashboards for real-time data visualization and decision support. 🌟 Top Rated on Upwork – Consistent record of client satisfaction and delivery excellence. 🔍 Why Hire Me? ✅ Advanced ML Expertise I leverage cutting-edge techniques to deliver highly accurate and innovative predictive solutions. ✅ Comprehensive Tool Proficiency Programming: Python, R Dashboards & Visualization: Tableau, Power BI, Streamlit Statistical Software: SPSS, STATA, E-Views, Minitab Database & Cloud: SQL, Google Cloud (for scalable, production-ready ML deployments) ✅ Quantitative Research Strength Deep experience in algorithm design and time series forecasting enables trend prediction with exceptional precision. ✅ End-to-End Execution From data ingestion to predictive modeling and visualization, I manage the full pipeline with performance and clarity in mind. ✅ Clear Communication I break down complex ML models and insights into intuitive, actionable formats for stakeholders and non-technical audiences. 💼 What I Deliver: Predictive Modeling Time Series Forecasting & Analysis Interactive Dashboards in Tableau, Power BI, and Streamlit Risk Assessment & Optimization Models Feature Engineering & Model Tuning Visual Analytics & Business Intelligence