Hire the Best Principal Component Analysis Specialists

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

Data Scientist | AI & ML Engineer | Data Analyst | Python | SQL | Power BI | LLM & RAG Hi, I'm Shahab 👋 Most businesses are sitting on data they're not using and drowning in manual work they shouldn't be touching. I build the machine learning models, AI applications and dashboards that fix both and I make sure they actually ship, not just sit in a notebook. Over the past 5+ years I've helped companies turn messy data and repetitive workflows into predictive models, LLM-powered tools, and BI dashboards their teams actually use to make decisions. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱: - Data analysis & exploration, turning messy raw data into clear answers and insights - Statistical analysis & A/B testing, hypothesis testing, significance, and confidence behind your decisions - Data visualization & Power BI dashboards, reports non-technical stakeholders actually understand - Predictive & forecasting models, churn, demand, pricing, classification - AI assistants and chatbots powered by LLMs (OpenAI, Hugging Face) - RAG systems that let a model answer from YOUR documents and data - Power BI dashboards that turn raw data into clear, decision-ready reporting - Python automation that removes hours of manual work every week - End-to-end data pipelines cleaning, processing, deployment 🛠️ 𝗠𝘆 𝗧𝗼𝗼𝗹𝗸𝗶𝘁: - 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Python, Pandas, NumPy, R, RStudio, SQL, Excel - 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: SciPy, statsmodels, hypothesis testing, regression, A/B testing - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-Learn, TensorFlow, PyTorch, XGBoost - 𝗟𝗟𝗠𝘀 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: LangChain, RAG, Vector DBs, OpenAI, Hugging Face, AI Agents - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜: Power BI, Plotly, Matplotlib, Seaborn - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: FastAPI, REST APIs, Docker, AWS, Streamlit, Git/GitHub Whether it's a machine learning model, an AI chatbot, a RAG application, a Power BI dashboard, or an automation that buys back your week send me a message or invite me to your job. Tell me the problem you're trying to solve and I'll tell you the best way.

With a Ph.D. in Industrial/Organizational Psychology and a Master's in Applied Statistics and Data Analytics, I bridge data science and organizational strategy. I specialize in turning complex, multi-source data into clear, defensible insights that support decision-making across business, HR, research, and financial contexts. I've worked with performance, sales, engagement, and survey datasets to develop KPIs, surface patterns, build predictive models, and automate reporting pipelines that produce clean, branded outputs. I also do independent validation and methodological review, pressure-testing survey instruments, models, and AI-generated data to tell clients honestly where the work holds up and where it doesn't. My toolkit spans data cleaning, visualization, and predictive modeling in Python, R, SQL, and Excel, with deep experience in survey design, psychometrics, and text analytics. I can help you with: *Data Cleaning, Validation & Integration – Building reliable, analysis-ready datasets from multiple sources. *Validation & Methodological Review – Independent benchmarking, psychometric and content validation, and honest assessment of frameworks, assessments, and meausres. *KPI & Dashboard Development – Defining and visualizing performance metrics that align with strategy. *Survey Design & Workforce Analytics – Designing and analyzing surveys for employee experience, leadership, and DEI. *Predictive & Statistical Modeling – Regression, SEM, and machine learning for forecasting and insight. *Data Storytelling & Strategy – Turning analytics into narratives and recommendations for executives and teams. My goal is simple: to make analytics practical, reliable, and strategic, helping organizations turn data into smarter action.

I help researchers, academics, and businesses turn complex data into clear, defensible insights. With 9+ years of full-time freelance experience and a Top Rated Plus badge, I specialize in both quantitative and qualitative research — from survey design and structural equation modelling (AMOS, Smart PLS) to thematic analysis and systematic reviews (NVivo, MAXQDA, Atlas.ti, Python). Whether you need a dissertation analysis completed to a tight deadline, a market research report with actionable findings, or a research proposal built from scratch, I deliver work that is methodologically rigorous, clearly written, and ready to submit or present. What I can help you with: 1. Quantitative Analysis — Regression, SEM, factor analysis, time-series, and econometrics using SPSS, STATA, AMOS, Smart PLS, JASP, GRETL, E-Views, R, Python, and Minitab. 2. Qualitative Analysis — Thematic coding, content analysis, and systematic reviews using NVivo, MAXQDA, Atlas.ti, QDA Miner, WordStat, and Quirkos. 3. Survey Design and Analysis — Questionnaire design, validation (Cronbach's alpha, CFA), and advanced survey analytics. 4. Research Methodology and Proposals — Crafting robust research designs, justifying methods, and ensuring academic rigour and feasibility. 5. Business and Market Research — Competitive analysis, market sizing, and insight reports with clear, actionable recommendations. 6. Statistical Reporting — Comprehensive written reports interpreting results for both academic and non-academic audiences. 7. Literature Reviews — Synthesising existing research to map the current state of knowledge in your field, including meta analysis. 8. Proofreading and Editing — Dissertations, research papers, and reports edited to academic standards (APA, Harvard, MLA). I work with clients across social sciences, marketing, finance, economics, healthcare, and education. My goal is not just to run the analysis — it is to make sure you understand the findings and can confidently present or submit them. Feel free to reach out with any questions or project details. I am here to help.

🏅 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.

MOST AI AND BI INITIATIVES FAIL because the underlying data foundation is broken. I am an Expert-Vetted Principal Architect (Top 1%) and 15x US Patent Holder who builds "Agentic" data foundations. I specialize in turning multi-source chaos into a Single Source of Truth that doesn't just report data, it reasons over it. My latest build, AgentMaestro, achieved 97% accuracy in the volatile Miami Real Estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture. I HELP AMBITIOUS ORGANIZATIONS SOLVE THREE CRITICAL PROBLEMS: 1. COST & LATENCY: I re-engineer legacy warehouses using Dataform and modern ELT logic to reduce cloud bills by 30%+ while achieving sub-2-second dashboard latency. 2. DATA INTEGRITY & ATTRIBUTION: I unify fragmented silos (Shopify, Meta, CRM, GTM/CAPI) into high-integrity Customer Data Platforms (CDP) to provide 100% visibility into ROI and Attribution. 3. REASONING-AS-A-SERVICE (RaaS): I move beyond simple "predictive modeling" into Agentic AI. I deploy LLM-driven reasoning engines (Vertex AI) that provide "Glass Box" audit trails for high-stakes decision-making. THE "MAESTRO" DIFFERENCE: I am not a "task-taker." I am a strategic partner who owns the entire data lifecycle. I design the proprietary logic that ensures your data is an asset, not a liability. Let's connect to architect your Single Source of Truth. CERTIFICATIONS - Google Cloud Professional Data Engineer - Google Cloud Professional Machine Learning Engineer - Google Data Analytics Professional - Google Business Intelligence Professional SKILLS Cloud Platforms: - Google Cloud Platform (GCP) Data Warehousing & Big Data: - BigQuery - BigLake - PostgreSQL - MySQL - SqlServer Data Modeling: - Dataform - dbt Machine Learning & AI: - BigQueryML - Vertex AI - TensorFlow - H2O - Caret - Scikit-learn - ML Model Development & Deployment Business Intelligence & Visualization: - Looker - Looker Studio - Google Sheets - Apache Superset - Airtable Programming Languages: - SQL - R - Python Data Engineering ELT & ETL: - Dataflow - Cloud Pub/Sub - Data Pipelines - Dataform - Cloud Functions. Ecommerce Platforms: - Shopify Data Science: - Predictive Analytics - Customer Segmentation - Data Mining - Statistical Analysis - RFM Analysis - Contribution Analysis - LTV - Time series forecasting - Recommender Systems