Hire the Best Exploratory Data Analysis Professionals

Objective: Detail-oriented and highly skilled Data Analytics professional with a strong background in pricing, inventory management, sales promotions, reporting, predictive modelling, data wrangling, database management / engineering, and large-scale data processing. Seeking to leverage expertise in Microsoft Office (Excel, Access, Word, Power Point), Google Suite (Sheets, Docs, Slides), SQL, SAS, R, SPSS, Cloud Engineering (AWS, Big Query, Azure), Tableau, Power BI, DAX and Python to contribute to data-driven decision-making and improve business outcomes. Committed to ensuring high-quality models and collaborating with cross-functional teams to deliver scalable and efficient data solutions. Overview of Qualifications: * More than 12 years of experience in pricing, inventory management, sales promotions, business analytics, monetizing buying behavior, using: * Predictive Models: Price Elasticity / Optimization, Sentiment / Text Analysis, Cross Selling, Upselling, Survival Analysis, Time Series Analysis and Apriori modelling / market basket analysis * Marketing Concepts: upselling / cross selling, misclassification, fraud detection, survival - Extensive experience in dashboard preparation, periodic reporting, inventory and demand planning, budgetary tracking, marketing and inventory management

Top Rated full-stack AI engineer (68 jobs, 100% JSS, 2,000+ hours on Upwork) with 6+ years building production AI systems for manufacturing, FMCG, and operations clients. I ship full SaaS products end-to-end — backend, frontend, AI features, deployment — not prototypes. I build the whole thing. I am a full-stack AI engineer with 6+ years of real business experience inside manufacturing, FMCG, and operations at Coca-Cola, Singer Bangladesh (Arçelik), Walton Hi-Tech. I have been on the client side of broken tools and bad data. Now I build the systems I wished existed. What makes me different from most full-stack freelancers: I can ship your React frontend, wire it to a FastAPI backend, connect it to PostgreSQL, add an AI agent or LLM feature, deploy it to AWS or Vercel — and I understand the business problem well enough to tell you when you are overbuilding. → SAAS MVP DEVELOPMENT This is my primary focus. If you are a founder who needs a working product in 2–4 weeks, this is what I deliver: → React / Next.js frontends — clean, responsive UI built for real users, not just demos. Tailwind CSS, component libraries, smooth UX. → FastAPI or Node.js backends — REST APIs with proper auth (JWT/OAuth), rate limiting, error handling, and documentation your team can actually use → Database design — PostgreSQL with a schema that won’t break when you hit 10,000 users. Migrations, indexing, query optimization. → Full deployment — Vercel for frontend, AWS EC2 or Railway for backend, environment configs, CI/CD with GitHub Actions. You get a live URL, not a zip file. → Stripe integration — subscription billing, usage metering, webhook handling, customer portal. Revenue from day one. → Auth systems — user registration, login, roles and permissions, password reset, email verification. Done properly, not hacked together. → AI & AGENTIC FEATURES FOR YOUR SAAS Most SaaS products in 2025 need at least one AI feature. I build them as production-ready components, not demos: → AI agents built with LangChain and LangGraph — autonomous workflows that research, extract, decide, and deliver structured outputs inside your product → RAG document systems — users upload files, ask questions, get answers with citations. Customer support, internal knowledge bases, legal document review. → LLM-powered data extraction — turn unstructured inputs (emails, PDFs, forms) into clean structured data your database can store → Automation pipelines — Airflow or Celery workers that run background jobs, send alerts, process queues, and keep your product running while nobody is watching → DATA & ANALYTICS LAYER → Power BI and Looker dashboards embedded in your product or delivered standalone — connected to live data, auto-refreshing, built for decision-making not decoration → ETL pipelines — multi-source data ingestion into PostgreSQL or data warehouses, replacing manual work permanently → ML prediction APIs — demand forecasting, churn scoring, recommendation engines — FastAPI endpoints your product can call in real time WHO I WORK WITH Founders building a SaaS MVP who need one engineer who can own the full stack — frontend, backend, AI, and deployment — without managing 4 different freelancers. Startups that have a working product but need to add AI features, improve performance, or fix the architecture before scaling. Operations and manufacturing businesses that need internal tools, dashboards, or automation systems built properly. Small teams where budget matters — you need someone who makes good decisions independently, not someone who needs constant direction. WHAT I HAVE DELIVERED ✓ Full-stack SaaS starter — Next.js frontend, FastAPI backend, PostgreSQL, JWT auth, Stripe billing hooks, rate limiting, deployed on AWS. Used as a base for client products. ✓ RAG document assistant — React UI, FastAPI backend, LangChain + ChromaDB pipeline, deployed on Vercel + EC2. Users upload PDFs, ask questions, get cited answers. ✓ LLM automation agent — searches the web, reads documents, queries a database, writes structured reports to Slack. Replaced 3 hours of manual work per week. ✓ Commercial analytics at Coca-Cola Icecek — sales data systems driving strategic decisions in a high-volume FMCG environment ✓ Quality data systems at Singer Bangladesh

I'm a data analyst with 5+ years of professional data experience. I am statistical consultant/data scientist. For a fixed fee I provide my clients with unlimited support, clear explanations, well-documented code, and actionable insights. I have experienced in carrying out data analysis and visualization using and google sheets, Ms Excel, Google Data Studio and very good at summarizing data on google sheets using pivot tables; producing useful time series analysis charts that would help sales teams make the right decisions on the position of their business. My services include: ✅ Data analysis/data science/predictive modeling for business and research purposes using methods from data mining, machine learning, econometrics and statistics (including, but not limited to, medical statistics, biostatistics, epidemiological statistics, and neuroscience data analysis) ✅ Simulation and Forecasting ✅ Developing Shiny Apps for data science/business analytics ✅ Causal inference (propensity score matching, regression discontinuity design (RDD), difference-in-difference (DID) estimation, event studies) ✅ Quantitative market research data analysis (including CHAID, CART, conjoint analysis, regression analysis, ANOVA, multilevel modeling, Van Westerndorp's Price Sensitivity Meter (PSM), Market Basket Analysis, attribution modeling, marketing mix modeling, and other advanced techniques) ✅ Statistical consulting/tutoring on using R, Stata, SPSS, EViews, Statistica, and Excel Please, feel free to contact me ✅ AutoCAD, Candance, Matlab, Stata, RapidMiner MATLAB, LabVIEW, Microsoft Visual Studio, Wireshark, Microsoft Office

Do you need someone who can handle your entire data journey? From collecting data, to analysing it, to automating the processes around it, and finally presenting it in a stunning, interactive dashboard? You've found that person. I'm Catherine, a data analyst and statistician with deep expertise across the full data pipeline. I don't just run numbers. I help you collect, clean, analyse, automate, and visualise your data in a way that drives real decisions. What I bring to your project: 📊 Statistical analysis & research: Hypothesis testing, regression, SEM, survival analysis, psychometrics/scale validation, and econometric modelling using SPSS, R, Stata, Python, Jamovi, and JMP. I've contributed to peer-reviewed journal publications through my statistical work on surgical databases (NSQIP). 🔍 Qualitative research: Thematic and content analysis using NVivo, MAXQDA, and Atlas.ti for interviews, focus groups, and open-ended survey data. ⚙️ Automation & workflow design: I build end-to-end automated pipelines using Make and Google Apps Script, including integrations with Stripe, Google Forms, Google Sheets, landing pages, and more. Recent clients have seen their manual data workflows fully automated. 📈 Dashboards & data visualisation: Interactive executive dashboards in Power BI and Looker Studio, tailored for marketing teams, operations, healthcare, and finance. I turn raw data into clear, compelling visual stories. 📋 Survey design & data collection: End-to-end survey projects using Google Forms, Typeform, and Qualtrics, including automated data pipelines from form submission to clean, analysis-ready datasets. I've worked across yachting, healthcare, finance, and academia, and I also offer tutoring in SPSS, R, and Stata for students and professionals. Let's talk about how I can support your project.

🇦🇺 Australian, native ⚡ 15+ years of commercial experience 🚀 Clients across diverse B2C and B2B sectors in Oceania, Asia, USA, UK and EU 📑 Wide range of research, data and analytics services Combining rigorous market research with data science, I have developed expertise through roles in research, media, and analytics agencies. A university degree in Mathematics and Statistics provided the foundation for my journey into these fields. -- WHY ME? -- ⭐ Flexible and practical - worked with startups to large corporations ⭐ Easy to work with ⭐ Excellent time management and strong work ethic Market Research - Services Overview: ✔️Survey design - Quantitative and Qualitative ✔️Choice Modelling, MaxDiff, Experimental Design ✔️Pricing Research ✔️Branding Research & Tracking ✔️Biostatistics, small sample studies ✔️TAM, SAM, SOM sizing ✔️Ideas Testing and Validation ✔️Go-to-market strategy, pitch decks and investor presentations ✔️SWOT Analysis and Competitor Mapping ✔️Buyer Persona Creation and Segmentation ✔️Stakeholder Qualitative Interviews Data Science - Services Overview: ✔️Predictive Modelling and Machine Learning ✔️Sales Forecasting including Time-Series Forecasting ✔️AI - Generating synthetic data and predictive models ✔️Troubleshooting sales funnels issues - e.g., Shopify, Salesforce, GA4 etc. ✔️Advertising Effectiveness and Marketing Mix Modelling ✔️Customer Acquisition and Churn Analysis ✔️Sentiment Analysis (NLP) and Mind Mapping ✔️Structural Equation Modelling (SEM - PLS) ✔️Statistical Consulting ✔️Proof reading PhD theses and Masters level papers Software Expertise: ✔️R ✔️Python ✔️SPSS ✔️AMOS ✔️Excel & VBA ✔️SQL Data Visualisation: ✔️PowerBI ✔️Tableau ✔️Excel ✔️Looker Studio (Google Data Studio)

I help businesses clean, organize, analyze, and present data clearly using Excel, Python, and dashboard tools. My background combines data analysis, financial reporting, forecasting, and business intelligence experience, allowing me to turn raw information into accurate reports, dashboards, and actionable insights. I have worked on Excel dashboard creation, data entry, research tasks, financial reporting, pricing analysis, KPI monitoring, and forecasting. At Schneider Electric, I supported business intelligence work involving pricing data, dashboards, and performance analysis. As CFO at Alfazza Tri Utama CV, I prepared profit and loss reports, financial projections, and financial records. I can support projects such as Excel dashboards, data cleaning, data entry, financial reporting, KPI tracking, forecasting, and business analysis. I focus on accuracy, clear communication, and reliable delivery.