Hire the Best Quandora Question and Answer Specialists

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.

Data Scientist — everything I build, you can verify the math. ALGO TRADING & PORTFOLIO CONSTRUCTION ─── Current research: Momentum Investing a fully systematic tiered index targeting 33%+ CAGR vs SPY, using point-in-time fundamentals to eliminate look-ahead bias. 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. 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. 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. That's the level I operate at on both equities and fixed income. Not "add more data." Find the actual structure driving returns, and build features that reflect it. Tools: Python, Pandas, Alpaca, Alpha Vantage, systematic backtesting vectorbtpro, Monte Carlo simulation, portfolio construction, Machine Learning 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% Tools: Python, SQL, Scikit-learn, Excel, Power BI, Pandas WHAT MAKES ME DIFFERENT ─── ▸ I show my work. Every model, every backtest, 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 live ▸ 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 If you want someone to validate that your strategy is great, I'm not the right fit. If you want to know exactly why it works, or why it doesn't, let's talk.

Top Rated Economist | Data Analyst | Statistician | Quantitative & Qualitative Researcher | Survey Analyst | Statistician Econometrician | Research Analyst | Survey Specialist | Visualization Expert ✅ Lead Analyst @Suncor Energy. Previously, a Business Analyst @NNPC & @Pan Allen Energy ✅ A Consulting Researcher @Statisda with high level research experience -000's of offers closed ✅ Able to Gather and transform data into publication-ready insight for Businesses & Researchers ✅ Econometrics| Time-series |Panel data |Cross-sectional |Non-parametric |ANOVA | Regression ✅ Adapt to any writing & formatting style; MLA, Harvard, APA, Chicago, IEEE ✅ Tools: SPSS | Stata | EViews |R | Python | Power BI | Tableau | Excel ✅ 100% original, Copyscape-verified work with unlimited revisions ✅ Professional dashboards, reports, visualizations & clear storytelling My Services: Thesis, Dissertation & Research Editing, Proofreading & Guide ⭐ Areas of focus; social sciences; Business, Finance, Economics etc ⭐ Data Collection, Literature reviews, case studies, whitepaper guide ⭐ Assistance on In-depth literature review using peer-reviewed journals ⭐ Guide to Perfect formatting in APA, MLA, Chicago, Harvard or IEEE ⭐ Insight on SEO-optimized where needed, while keeping full scholarly rigor ⭐ Professional structure with tables, figures & references Time Series Analysis ⭐ Unit root testing/ Stationarity ⭐ Cointegration analysis ⭐ Long Run Regression ⭐ Auto-Regressive Distributive Lag ⭐ Error Correction Model ⭐ Vector Error Correction Model ⭐ Simultaneous Equation ⭐ Vector Auto-Regressive model ⭐ Generalized Method of Moment ⭐ 2 Stage Least Squares ⭐ Volatility Analysis ⭐ Instrumental Variables ⭐ GARCH Modelling ⭐ ARCH Modelling ⭐ Variance Decomposition ⭐ Impulse Response Model ⭐ Volatility Check ⭐ Auto Correlation ⭐ Walds Test ⭐ And a lot more Panel Analysis ⭐ Panel Unit Root ⭐ Panel Cointegration ⭐ Fixed Effects OLS ⭐ Pool Ordinary Least Square ⭐ Random Effects ⭐ Random Walk ⭐ Fully Modified OLS ⭐ Canonical Regression ⭐ Graphical Presentation ⭐ Online Consultation ⭐ And a lot more Cross Sectional Analysis ⭐ Binary Models: Tobit ⭐ Probit Model ⭐ Logit Model ⭐ Multinomial Analysis ⭐ Factorial Analysis ⭐ Linear Regression ⭐ Correlation ⭐ Delphi Method of Estimation ⭐ Multivariate analyses ⭐ Simultaneous equations ⭐ And a lot more Non Parametric Analysis ⭐ Kruskal-walis Test ⭐ Mann-Whitney Test ⭐ Friedman Test ⭐ Chi-square ⭐ Kappa Measure of Agreement ⭐ Wilcoxon Signed-rank Test ⭐ And a lot more Group Comparison ⭐ T-Tests ⭐ Effect Size ⭐ One Way ANOVA ⭐ Two Way ANOVA ⭐ Multivariate Analysis of Variance ⭐ Analysis of Covariance ⭐ Generalized Linear Models ⭐ And a lot more Survey & Questionnaire ⭐ Questionnaire Design ⭐ Survey Design ⭐ Survey Analysis ⭐ And a lot more Preliminary & Descriptive Analysis ⭐ Massaging and Cleaning ⭐ Data Visualization Graphs & Tables ⭐ Development of Scale ⭐ Cronbach’s Alpha Coefficient ⭐ Mean, Frequency ⭐ Proportions, Charts, Graphs ⭐ Assessing Normality ⭐ Trend Analysis ⭐ Sampling Distributions ⭐ PowerPoint Presentations for Statistical Results ⭐ And a lot more Interactive Dashboard & Visualization ⭐ Visualize sales performance, ⭐ Performance tracking ⭐ Track project progress ⭐ Analyze market trend ⭐ Powerful insights. Tools ⭐ Microsoft Office Programs ⭐ Proficient with Python Programming language ⭐ Online survey distribution programs; Qualtrics, Survey Monkey, Google Survey ⭐ Econometrics; SPSS, STATA, EVIEWS, MAT-LAB, TABLEAU, RStudio etc

Financial markets analyst and trading educator with experience across options markets, volatility analysis, live market instruction, and financial media content. I specialize in translating complex market behavior into clear, actionable insights for retail traders, fintech platforms, and financial audiences. My background combines real time market analysis, derivatives education, client engagement, and financial writing across fast moving market environments. Alongside over 2,400 hours of live market instruction and trader development, I also contribute written market commentary and analysis focused on equities, options activity, macro themes, sentiment shifts, and volatility behavior. My experience includes: • Options market analysis and derivatives education • Volatility and market structure interpretation • Financial content creation and market commentary • Live chart analysis and market walkthroughs • TradingView and technical analysis workflows • Risk management and position sizing education • Client onboarding and trader support environments • Live virtual instruction and interactive learning sessions I work with: • Financial media and content platforms • Financial audiences seeking structured market education • Educational and research focused market teams • Traders seeking structured market understanding • Businesses needing market commentary or financial content support My approach prioritizes clarity, structured thinking, risk awareness, and practical communication over prediction driven content or hype. Disclaimer: I provide financial education and market commentary only and do not provide personalized investment advice.

I'm an Automation expert with more than 5 years of experience. For the past 3 years I'm working as a Junior Analyst in a Quant Fund. I'm very good at Web Scraping and Data Science.

➡️AVAILABLE, PLEASE FEEL FREE TO SEND ME A DIRECT MESSAGE⬅️ My name is Elia, and I am fluent in Spanish. I am very organized, patient, competitive, receptive, and proactive. I have experience in various fields: 📌I have experience in market research, both in-person and online, using technological search tools. 📌I am a virtual administrative assistant with more than 15 years of experience. 📌I have a degree in journalism, so I am good at writing and paying attention to detail. 📌I have experience in credit analysis and credit risk. ✅Experience in Microsoft Office 365/Google Workspace and Meta Business Suite. 📌I have proprietary tools that, combined with my knowledge, are the perfect complement to complete assigned tasks on time and deliver projects. Let's talk and tell me how I can help you improve your business. I am open to proposals. I look forward to the opportunity to work with you.