I help companies make decisions with clarity, confidence, and evidence. My work combines quantitative precision, qualitative depth, and strategic interpretation to answer the questions that matter most for product positioning, audience understanding, pricing, and brand direction. With 10+ years of mixed-method research experience across industry and academia, and a PhD in political science, I lead research engagements that translate ambiguous or high-stakes questions into structured studies and sharp, decision-ready insights. Clients bring me in when they need to understand motivations, gaps in the market, messaging resonance, and competitive dynamics—not just numbers on a dashboard. I design and analyze surveys, moderate interviews and focus groups, conduct market and category analysis, and synthesize multiple data sources into clear narratives that leadership teams can act on immediately. My background includes consumer product research, CX/VOC program redesign, segmentation, pricing frameworks, competitive analysis, and cross-functional insight leadership for AI-based companies. I enforce rigor at every stage, including research design, sampling, measurement validity, analysis, and insight delivery, so the conclusions are defensible and the recommendations are practical. I work best on fixed-rate or retainer-based research and strategy projects. If you need fast execution paired with senior-level research judgment and clear strategic interpretation, this is exactly the work I do. Let’s turn evidence into strategy that moves the needle.

🎯 Data Science & AI Services - Time Series Forecasting • Machine Learning • Deep Learning Seller: Ruben Ibarra ( PhD in Statistics - Mathematician - Econometrician, ML/DL) ________________________________________ 1) SERVICE OVERVIEW I help businesses and researchers turn raw data into reliable predictions and actionable insights. I specialize in hybrid time‑series forecasting, Machine Learning, and Deep Learning, delivering reproducible code, clear documentation, and business‑ready artifacts. INDUSTRIES: Finance, energy, retail, manufacturing, climate, health/sensor analytics. TOOLING: Python (NumPy, Pandas, scikit‑learn, XGBoost/LightGBM/CatBoost), Optuna, SHAP, Statsmodels (ARIMA/SARIMAX/GARCH), PyTorch/TensorFlow, Signal Processing (Welch/STFT/DWT), RAPIDS (GPU), SQL. ________________________________________ 2) CORE OFFERS (Pick one or combine) A. TIME-SERIES FORECASTING & CAUSALITY • Forecasting: ARIMA/SARIMAX, VAR/TVP‑VAR, GARCH, Prophet, LSTM/GRU, hybrid ensembles • Feature engineering: calendar/events, weather, promotions, wavelets (DWT), STFT/Welch PSD • Multi‑horizon & hierarchical forecasts; nowcasting; anomaly detection • Causal/exposure indices: PCA/LDA‑based indices, synthetic control (classic & stacked) Deliverables: Clean repo + notebooks, forecast charts, error diagnostics (MAE/MAPE/RMSE), MLOps‑ready pipeline options B. MACHINE LEARNING & DEEP LEARNING • Classification & regression (XGBoost/LightGBM/CatBoost, RF, SVM) • MLP, RNN, CNN, LSTM, GRU, and Temporal Fusion Transformer (TFT) • Predictive Maintenance ( Manual feature engineering or Architectures like PatchTST and MOMENT) • Imbalance handling, cross‑validation, calibration, SHAP interpretability & pruning • Hyperparameter optimization with Optuna Deliverables: Feature store, tuned model, test metrics (AUC/F1/PR), explainability report ________________________________________ 3) PACKAGES (scope guidance — can be tailored) 🚀 STARTER (MVP/Exploratory) • Scope: One dataset, single target; baseline + 1 advanced model • Work: EDA, baseline, tuned model via Optuna (≤ 30 trials), basic report • Data limit: ≤ 200 MB, ≤ 2M rows (tabular) or ≤ 12 series (time‑series) • Deliverables: Notebook + brief PDF, predictions CSV, code repo • Timeline: ~5–7 days ⚖️ ADVANCED (Production‑ready Model) • Scope: Multiple series/segments, feature engineering, ensembling • Work: Robust CV, diagnostics, SHAP report, data leakage checks, error analysis • Add‑ons included: Experiment tracking, reproducible environment (requirements.txt) • Deliverables: Modular repo, metrics dashboard (static), handover call notes • Timeline: ~10–14 days 🧭 END TO END (Pipeline + Handoff) • Scope: Full pipeline with scheduled scoring; optional API/batch • Work: CI-friendly structure, model monitoring hooks, documentation & SOPs • Deliverables: Repo + README, config files, deployment guide; optional API stub • Timeline: ~2–4 weeks Notes: Pricing varies based on data volume, complexity, and compliance/security requirements. I’m happy to provide a fixed-price quote if you require one. 4) WHAT YOU GET (Deliverables) • Clean, versioned Git repository (readable modules + notebooks) • Report (PDF/Markdown): methods, metrics, plots, decisions • Forecasts/Predictions CSV/Parquet; optional dashboards • Reproducibility: lockfiles/requirements, random seeds, data schema • Explainability: SHAP plots, feature importance, ablations ________________________________________ 5) BUYER REQUIREMENTS (intake form) Please provide: - Objective & KPIs (e.g., MAPE ≤ 10%, AUC ≥ 0.85) - Brief business context (drivers, constraints, decisions tied to model) - Data dictionary + sample dataset (schema, nulls, freq, units) - Historic range & granularity; expected forecast horizon - Non‑functional: latency, privacy, on‑prem vs. cloud, preferred stack - Compliance/IP constraints; NDA if required. ________________________________________ 6) FAQ (buyer‑facing) Q. Can you work under NDA and keep IP private? Yes. All code/data remain confidential; IP transfer occurs upon final payment. Q. What accuracy can you guarantee? I don’t guarantee a specific metric before seeing data, but I provide baseline + target KPI ranges after EDA, and iterate to hit agreed thresholds. Q. Do you support long‑term maintenance? Yes—retainers or milestone‑based updates are available. Q. Can you deploy to my stack? I can provide API/batch stubs and DevOps‑ready instructions; direct deployment available on request. I look forward to hearing from you Best Regard

I am MS scholar and working on Social Network Analysis and Machine Learning projects. Social Network Analysis is my area of interest. Link prediction in Social networks is another domain in which I am supervising MS students. I have a list of publications in Impact Factor Journals and reputed conferences. My skills & expertise include Social Network Analysis, Information Retrieval, Machine Learning, Sentiment analysis, Data Mining, and Natural Language Processing. Apart from these skills, I have years of experience in Proof Reading, Academic Writing, Presentations, Latex writing. R is the language in which I can provide you with my expertise. My specialties included: 1) Social network analysis and visualization 2) Link Prediction in Social Network 3) Citation Recommendation 4) Data visualization 5) Data extraction 6) Data Mining 7 Machine Learning A few of my projects/articles are: 1) Evaluation of features in Social Network 2) Link prediction in Human Contact Graph 3) Link Prediction in Citation Network 4 ) Centrality-Based Citation Recommendation 5) SAM Centrality: a Hope-based Centrality Measure for Ranking Users in Social Network 6) SAM: a Similarity Measure for Link Prediction in Social Network 7) Semantic and Syntactic similarity comparison 8) Sentimental analysis of Twitter data. 9) Textual and Topological Similarity Measures 10 ) Time series Analysis, 11) Econometric analysis 12 ) Statistical Analysis Some of my working tools are: 1) R 2) Gephi 3) RMarkdown 4) Tableau 5) Latex 6) WEKA Please contact me with any needs, so we can discuss how I can help you. Thank you for reading.

Welcome! I’m Dr. Maxwell Emmanuel Uduafemhe, a results-driven academic researcher, certified data analyst, and psychometrics expert with over 15 years of proven success supporting graduate students, research teams, and institutions around the world. With a PhD in Industrial and Technology Education (STEM & Psychometrics focus), I offer comprehensive support for quantitative, qualitative, and mixed-methods research — helping you go from data confusion to crystal-clear insights and publication-ready work. ✅ What I Help You Achieve: 📊 Data Analytics & Visualization Turn raw data into clarity using R, Python, SPSS, STATA, Excel, Power BI (Descriptive, inferential, multivariate & machine learning) 🔍 Qualitative & Mixed Methods Research Expert in ATLAS.ti, NVivo, thematic coding, sentiment analysis, and triangulation 🧠 Psychometric Analysis & Instrument Validation Item analysis, reliability, IRT, SEM, EFA/CFA — for defensible, high-impact assessments 📘 Dissertation Review & Academic Writing Detailed critique and editing of theses, proposals, journal articles, and grant reports ✍️ Research Design & Methodology Survey construction, sampling strategy, ethics documentation, and protocol development 📈 Publication Guidance From structuring manuscripts to aligning with Scopus/Elsevier standards 💎 Why Clients Choose Me (and You Should Too): ✅ 15+ Years Experience — Supporting hundreds of PhD/Master’s students and institutions globally ✅ 30+ PhD Theses Reviewed — With several graduates securing academic and leadership roles ✅ 20+ Peer-Reviewed Publications — Cited in STEM, education, psychometrics, and evaluation ✅ 20+ Funded Projects Led — Across Africa, the USA, and Asia ✅ Certified by IBM & Google — In data science and analytics ✅ Versatile Toolset — R, Python, SPSS, STATA, Power BI, Excel, ATLAS.ti, NVivo ✅ Flawless Communication & Delivery — Detail-oriented, deadline-respecting, and quality-obsessed ✅ Global Exposure — Projects with NECO, Leverage Assessments (USA), Align Education (USA), and universities 🏆 Success Stories: ⭐ "Maxwell made my entire PhD journey easier. His review helped me reshape my methodology and saved me from countless revisions. I highly recommend him." — Dr. Ifeanyi O., Education Researcher, Nigeria ⭐ "Dr. Uduafemhe’s data analysis was game-changing. He reduced our error margins and produced insights that directly impacted our funding renewal." — M&E Director, Align Education, USA ⭐ "One of the sharpest psychometricians I’ve worked with. He knows how to explain even the most complex IRT or SEM models in simple terms." — CEO, Leverage Assessments Inc., New York 📩 Let’s Collaborate! Whether you're analyzing survey data, validating your instrument, publishing in a high-impact journal, or preparing your dissertation for defense—I’m your trusted partner. 🔗 Let’s connect today and take your research to the next level — with precision, confidence, and excellence. Research Analyst, Data Analysis, PhD Dissertation, Psychometrician, SPSS, R Programming, Mixed Methods Research, STATA, Survey Design, Qualitative Analysis, NVivo, ATLAS.ti, Statistical Modeling, Academic Writing, Education Research, Structural Equation Modeling, IRT, Item Analysis, Power BI, Thesis Support, Research Methodology

PhD researcher with 10+ years of experience in quantitative research, survey analysis, statistical modeling, and data management. I help clients with: • Survey data analysis • Statistical modeling (linear, logistic, multinomial, and panel data models) • Questionnaire design and survey methodology • Data cleaning and data management • R and Stata programming • Research design and causal inference • Research reports and data interpretation • Academic writing Tools: R | Stata | Python | SPSS | Survey Research | Experimental Design | Machine Learning Whether you need support with survey research, statistical analysis, academic research, policy evaluation, or data-driven reports, I can help turn complex datasets into actionable insights.

I am a published quantitative social scientist and data scientist. One of my books titled "Introduction to Quantitative Social Science with Python" is published by Taylor and Francis. I also have an MBA. Outside Upwork, I provide data-related services to business, law firms (expert witness), and academic researchers (wz-consulting.com). I have advanced statistical analytical skills that can be applied to commercial and academic projects. Additionally, for academic research, I have experience in publishing peer-reviewed academic works and have served as editor or reviewer for multiple journals. As a trained academic, I follow high standards of procedures for data management and analysis. I always seek to provide objective and reliable instead of easy solutions and answers. As a native Chinese/Mandarin and Shanghainese speaker, I also offer translation between English and Mandarin or Shanghainese, and tutoring service.

Data analyst skilled in different fields such as SQL, Pandas, NumPy, Python, R, SPSS, Anylogic etc. I have experience in data analysis, data analytics, statistical analysis, financial analysis, statistics, data visualization, machine learning, predictive modeling, regression, hypothesis tests and more.

🎓 With a Master's in Economics and 5+ years of freelance experience, I provide high-impact services in economic analysis, online tutoring, business planning, and investment research. 🔍 I specialize in analyzing economic trends, policies, and market data to deliver actionable insights. I’ve helped startups and established businesses create strategic business plans and perform market feasibility studies with detailed financial projections. 📈 I also conduct stock price analysis and assist clients in understanding financial markets, including risk-return profiling, portfolio management, and macroeconomic forecasting. 💻 As an experienced online tutor, I deliver tailored lessons in microeconomics, macroeconomics, econometrics, and financial markets—helping students and professionals globally. Let’s collaborate to bring data-driven clarity to your economic and financial decisions.

🔬 Systematic Review & Meta-Analysis Expert | Medical Writer | Clinical Researcher | Medical Scribe Are you looking for a reliable expert to conduct a high-quality systematic review or meta-analysis for publication? I am a Medical Doctor (MBBS) with 4+ years of experience in clinical research and biostatistics, specializing in Systematic Reviews and Meta-Analyses (SR/MA) for peer-reviewed journals. I have successfully completed 25+ meta-analyses, including diagnostic test accuracy, intervention, and prevalence studies, contributing to publications in cardiology, internal medicine, and AI-based diagnostic research. I help researchers, clinicians, and academic teams transform research questions into publication-ready systematic reviews following PRISMA and international research standards. 🔬 Systematic Review & Meta-Analysis Services I provide end-to-end support for systematic reviews, including: ✔ Comprehensive literature search strategy ✔ Study screening & selection (PRISMA guidelines) ✔ Data extraction and dataset preparation ✔ Statistical meta-analysis ✔ Forest plots & funnel plots ✔ Publication bias analysis (Egger’s test) ✔ Diagnostic meta-analysis & SROC curves ✔ PRISMA flow diagram creation ✔ Manuscript writing & journal formatting ✔ Reference management (EndNote / Mendeley) ✔ PROSPERO protocol registration 🩺 Medical Scribe & Medical Virtual Assistant I also support physicians and healthcare teams with: ✔ Clinical documentation ✔ Patient chart review ✔ Medical research assistance ✔ Medical records organization ✔ Literature summaries for clinical decision-making 📊 Statistical & Research Tools I work with leading biostatistics and research software, including: STATA | SPSS | RevMan | CMA | MedCalc | Joinpoint | GraphPad | Open Meta-Analyst | R ✅ Why work with me? • Medical Doctor with research background • 25+ completed meta-analyses • Experience with peer-reviewed publications • Strong knowledge of PRISMA & evidence-based medicine • Clear communication and reliable delivery

I am an MBA (Finance) with in-depth knowledge of quantitative analysis, financial data analysis using R, Stata, E Views, and IBM SPSS using multiple econometric techniques. I am an expert in all types of financial and non-financial data entry and data mining techniques. I have excellent command over MS Excel and MS Word. I am almost an expert in Web Research either to copy data from the web or to find Facebook, Twitter, etc. I have experience with the collection of product info from an e-commerce website to excel/Google sheets. I can perfectly convert pdf into word and excel and further refinement of converted data. I have 4-year experience in financial research which includes data collection from the world's best sources and Bloomberg. I provide the following services:- Quantitative Analysis using R. Data Collection from Web, Bloomberg, IFS, and World Bank. Data Mining and presentation in a perfect way. Data Entry into online websites and any type of output as per the requirements of the client. APA Style citations and Proofreading. Additionally, I make sure the quality of the work by: Double-checking the work. Providing the best pay off the money of the client. Bring the satisfaction more than the expectation of the client.