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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

Machine Learning Engineer & Data Scientist specializing in Time Series, Predictive Modeling, Forecasting, Sensor Data and IoT. My work often bridges applied AI and machine learning, I help startups, research teams, and enterprise clients transform complex data into actionable systems, turning raw signals into predictive insights that drive real-world impact. My Areas of Expertise Include: ⚡️ Time series analysis & forecasting ⚡️ Signal processing for wearable/sensor data ⚡️ Predictive modeling for healthcare & biotech ⚡️ Spatial/geospatial data analysis ⚡️ Financial statistical modeling Projects I've Delivered: I've delivered impactful solutions across diverse industries: 💡Developed a new heart failure prediction approach using accelerometer data, improving AUC by over 20% compared to the baseline through advanced feature engineering and reduced model overfitting. 💡 Validated the feasibility of a wearable breath monitoring system using advanced signal analysis—supporting a funding presentation and informing product development. 💡 Reduced prediction error in protein-ligand binding models using RDKit-based feature engineering and XGBoost; accelerating drug candidate screening in early-stage discovery. 💡 Reduced wave height prediction error by 50% in a coastal forecasting system using multivariate time series modeling, improving surf and safety alerts for Tofino. 💡 Applied statistical modeling to NQ futures data to identify predictive metrics, supporting strategy refinement in a live trading environment. What You Can Expect When Working With Me: ✅ Deep understanding of your goals and technical requirements ✅ Solutions tailored specifically to your use case, not generic approaches ✅ Creative problem-solving that finds insights others might miss ✅ Rapid learning curve for domain-specific knowledge ✅ Clear communication throughout the project lifecycle ✅ Timely delivery and high-quality, documented code Core Technical skills: ✔️ Python (pandas, NumPy, SciPy, scikit-learn, PyTorch) ✔️ Signal Processing (Denoising, Transformations) ✔️ Machine Learning (Classification, Regression, Time Series, Anomaly Detection) ✔️ Data Visualization (Matplotlib, Seaborn, interactive dashboards) ✔️ Statistical Analysis (hypothesis testing, experimental design) ✔️ SQL & Database Management My background combines technical expertise in machine learning and data science with strong client communication, allowing me to bridge the gap between complex analytics and real-world decisions. I'm intentional about the projects I take on, ensuring every engagement gets the attention and quality it deserves! If you're looking for an ML expert who delivers real impact; not just code, let's connect to discuss how I can help transform your data into value!

Featured Upwork Talent – Canada I have been featured by Upwork on multiple category hire pages as a Top-Listed Freelancer in Canada, including: Web Analytics Specialists – Canada Google Data Studio Specialists – British Columbia Business Analyst / Data Analytics categories A versatile individual, passionate writer, excellent communicator with core financial and analytical skills exhibiting deductive reasoning for problem-solving with 8+ years of corporate experience in Business Analysis, Product Management, Data Analytics and Management Consulting. Industry Experience – Fintech, Media Network, Digital Marketing, Financial Services, Lease Management, Supply Chain Management. I have had an opportunity to work with global companies like Barclays, Odessa and Ernst and Young (Consulting) in Business Analysis/Project Management and Consulting. I have worked for North American clients and my work as consultant included working with North American and European Markets as well. I can comfortably position myself as an eligible candidate with global exposure. Generative AI ✅ LLM Integration (e.g., ChatGPT 4.0, Claude, Gemini) ✅ Retrieval-Augmented Generation (RAG) Pipelines ✅ Prompt Engineering for Feature Design ✅ Vector Database Implementation (e.g., Pinecone, FAISS) ✅ Embedding Models & Similarity Search ✅ Semantic Search & Intelligent Query Routing ✅ Conversational UI/UX with Q&A Chat Interfaces ✅ Summarization and Document Parsing Features ✅ Evaluation Frameworks for LLM Accuracy and Relevance ✅ Use of OpenAI/Anthropic APIs in Production ✅ Fine-tuning and Model Selection Strategy ✅ Alignment of LLM Use Cases to Business Goals ✅ AI Feature Rollouts with Analytics Instrumentation ✅ Ethical AI Considerations & Guardrails ✅ Integration of LLMs into Scalable Product Architecture Product Management ✅Product Strategy and Product Design ✅ Product Roadmap Developement ✅ Software Development Lifecycle (SDLC) ✅ Agile Methodologies/Scrum/Kanban ✅ Requirement Gathering, BRD ✅ Documentation ✅ Business Process/requirement Analysis ✅ Design and Wire-framing ✅ User Stories ✅ Test Strategy/Planning ✅ JIRA and Confluence ✅ Market Research Project Management: ✅ Project Scheduling ✅ Velocity/Capacity Planning ✅ Daily Stand-ups, Daily triages, Retrospective Meetings ✅ Project Proposals, Scope Documents, Work Breakdown Structures, Project Reports ✅ Risk Mitigations and handling Escalations ✅ PM tools and Systems ✅ Delegation of Tasks ✅ Resource Planning ✅ Budgeting and Ad-hoc PM support Data Analytics/Power BI Specialist ✅ Extraction/Cleaning (ETL) ✅ Data Studio/Looker ✅ Amplititude Analytics ✅ AWS Redshift, Quickshift, Kinesis, Glue ✅ Google Analytics ✅ Azure ✅ Apps, SharePoint, Power Automate (Flow), Logic Apps ✅ Data Automation ✅ Dashboard development ✅ Microsoft Power BI ✅ Tableau Development ✅ Data Analysis ✅ Report Design and Visualisation ✅ Data Modelling and Design ✅ Statistical Modeling ✅ Python, R, ggplot2 ✅ SQL, SSIS, PostgreSQL, MySQL ✅ DAX ✅ Time series analysis

PhD in Computational Statistics Expertise: Machine Learning, Statistical Analysis, Python, AWS, R, Java, SQL Experience: Time series analysis, anomaly detection, client segmentation, financial sentiment analysis (OpenAI) Current Project: Developing a Stock News Sentiment Analyzer

Python | R | SQL | Stata | Excel | Power BI | Tableau I provide structured data analysis and statistical modeling to help businesses and researchers make informed decisions. Core expertise: • 📊 Regression & econometric analysis • 🤖 Predictive modeling & machine learning • 🔎 Causal inference • 🧹 Data cleaning, transformation & validation • 📈 Data visualization & reporting • 📁 Exploratory data analysis and reporting I work with financial, operational, and large-scale datasets to identify patterns, evaluate relationships, and deliver clear, well-documented results. My experience includes regression analysis, classification models, time series analysis, panel data modeling, and applied machine learning techniques for forecasting. If you’re looking for structured analysis, clear interpretation, and well-documented results, feel free to reach out to discuss your project.