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Top Rated Data Analyst | Statistician | Quantitative & Qualitative Researcher | Survey Analyst | Econometrician | Research Analyst | Survey Specialist | Visualization Expert here on UPWORK & Co-Founder, STATISDA ✅ Co-Founder- Statisda, a Research Consultancy firm with 000's of offers successfully closed ✅ Lead Analyst @Suncor Energy. Previously, a Business Analyst @NNPC & @Pan Allen Energy ✅ Able to gather and transform data into publication-ready insight for Businesses & Researchers ✅ Econometrics| Time-series |Panel data |Cross-sectional |Non-parametric |ANOVA | Regression ✅ Can 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 & Project Writing Guide. Research Editing & Proofreading ⭐ 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 ⭐ Hierarchical Multiple 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

I am a finance professional with experience spanning financial analysis, private equity, financial modeling, and AI training, with a strong focus on applying financial domain knowledge to AI and natural language tasks. In my current AI Trainer role, I develop and evaluate finance-focused prompts for large language models, assess model responses for financial accuracy and reasoning quality, identify errors and inconsistencies, and create expert reference solutions based on financial documents and industry standards. My finance background includes DCF, LBO, comparable company analysis, equity research, M&A, and SaaS acquisition analysis, giving me a strong understanding of financial terminology, company filings, valuation concepts, and the language used in investment research and corporate finance. I have also worked with Bloomberg, Capital IQ, FactSet, Excel, and financial reports, and have experience translating complex financial concepts into structured, precise instructions and evaluations. This combination of finance expertise, AI model evaluation, structured data interpretation, and natural-language analysis allows me to contribute effectively to finance-focused NLP and machine learning applications.

Degree holder of Bachelor of Science in Accounting with dynamic 7 years of professional experience in the field of accounting and financd, audit and tax with background of handling human resources. Proficient individual with Xero,Quickbooks, FirstBit, Microsoft Office and Tech savy. Boasting expertise in manufacturing, merchandising, consultancy, freelancers, real estate and short term holiday rentals delivering top notch service and satisfaction to thrive the business growth moving forward.

I help organizations transform complex data into actionable insights that drive growth, improve decision making, and create measurable business value. With a PhD in econometrics, statistics, and causal inference and more than a decade of quantitative experience, I specialize in data science, predictive modeling, survey research, marketing analytics, business intelligence, experimentation, and advanced statistical analysis. My experience spans e-commerce, iGaming, insurance, banking, non-profit, automotive, telecom, retail, healthcare, engineering, and research sectors. I have delivered projects ranging from forecasting, predictive modeling, customer analytics, and large-scale survey research to marketing measurement, attribution, and end-to-end analytics platforms. I have extensive experience working with survey and observational data, including questionnaire design support, survey data cleaning and validation, scale and index construction, missing data handling, exploratory analysis, statistical modeling, and results visualization. I have analyzed customer, employee, stakeholder, healthcare, and research survey data using techniques such as logistic regression, count models, multilevel models, Bayesian methods, and causal inference approaches, translating complex findings into actionable recommendations. I have extensive experience building data-driven solutions using Python and SQL, including data analysis, machine learning, forecasting, statistical modeling, Bayesian analysis, survey analytics, customer segmentation, and decision-support systems. My expertise includes Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality measurement, A/B testing, geo experiments, brand lift studies, causal inference, and Bayesian methods. Experienced in developing Bayesian MMMs using PyMC-Marketing and Google Meridian, I help organizations understand the true drivers of business performance by quantifying channel contribution, adstock and saturation effects, ROI, and budget optimization opportunities. I translate complex analytical findings into practical recommendations that stakeholders can confidently act upon. I have worked extensively with data from Google Ads, Meta, TikTok, LinkedIn, CRM systems, call-tracking platforms, survey platforms, web analytics tools, customer databases, and cloud data warehouses. My technical background includes HubSpot, Datacor, BigQuery, GA4, Snowflake, and custom internal data sources, with a strong focus on data integration, validation, ETL processes, and scalable analytics workflows. Beyond analysis and modeling, I develop dashboards, visualizations, and decision-support applications using Streamlit, Looker, Plotly, and business intelligence platforms. I am passionate about making data accessible and useful, whether through executive dashboards, interactive analytics applications, or clear communication of complex statistical results. I also have extensive experience teaching, mentoring, and collaborating with technical and non-technical stakeholders. As a former university professor, I designed and taught graduate-level courses in statistics, econometrics, quantitative methods, and research design. Whether supporting business leaders, training analysts, or working with cross-functional teams, I focus on delivering solutions that combine analytical rigor with practical business impact. Whether the goal is building predictive models, improving reporting infrastructure, analyzing survey data, conducting statistical research, optimizing marketing investments, measuring incrementality, forecasting business outcomes, or developing advanced analytical solutions, I bring a rigorous quantitative approach and a proven track record of turning data into decisions.

Trusted by 500+ clients to answer critical business questions with research, analysis, data, and strategic insights. Launching a new product? Entering a new market? Evaluating an investment? Understanding your customers or competitors? The quality of your decision depends on the quality of your research. For more than 9 years, I've helped more than 500 startups, investors, consulting firms, market research agencies, and enterprise organizations reduce uncertainty before making important business decisions. Research methods I use: • Secondary Research • Primary Research • Qualitative Research (IDIs, Expert Interviews) • Quantitative Research (Surveys) • Consumer & Customer Insights • Competitive Intelligence • Business Intelligence • Online Investigation (OSINT) Rather than relying on assumptions, I combine secondary research, primary research, consumer insights, competitive intelligence, qualitative research, quantitative research, and business intelligence to uncover the evidence behind every recommendation. Whether you're validating a business idea, assessing market potential, identifying competitors, sizing a market, or evaluating an acquisition, my objective is always the same: Turn research into decisions you can act on. My expertise includes: ✓ Market & Industry Research ✓ Business Research & Commercial Due Diligence ✓ Consumer Insights & Customer Research ✓ Competitor Analysis & Competitive Intelligence ✓ Market Entry & Expansion Strategy ✓ Product Validation & Go-to-Market Research ✓ Market Opportunity & Feasibility Studies ✓ Market Sizing (TAM, SAM & SOM) ✓ Pricing Research ✓ Company & Executive Research ✓ B2B Prospect Research ✓ OSINT Investigations ✓ Strategic Reports & Executive Presentations Industries I've supported Healthcare, Technology, SaaS, AI, Retail & E-commerce, Manufacturing, Supply Chain, Financial Services, Legal, Education, Energy, Consumer Goods, Professional Services, Startups Every project includes: • Clear methodology • Reliable sources • Practical recommendations • Executive-ready reports • Excel databases and dashboards • Transparent assumptions Whether you need a one-time research project or a long-term research partner, I'd be happy to help. Send me your research objective, and I'll suggest the best research approach before you hire.

I turn hard-to-verify market, policy and business questions into decision-ready analysis. Bring me in when sources conflict, data are incomplete, and the output must be strong enough for a client, board, investor, donor or strategy team. My work spans UN-level policy analytics, Fortune 500-facing market intelligence, geoeconomic risk frameworks, supplier validation, market sizing, public opinion analysis and executive-ready presentations. I deliver verified research reports, market maps, company dossiers, datasets, dashboards, strategic briefs and analytical frameworks.