Hire the Best Time Series Analysis Freelancers
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Expert in descriptive and inferential statistical analysis with data visual skills. Experienced in geospatial analysis withb arcGIS and QGIS. Hand-on experience in data analysis with more 10 projects with donor and implementing development partners.

Need clear, defensible analysis for a research, healthcare, or business decision? I help researchers, public-health teams, and organizations turn complex datasets into rigorous findings, reproducible workflows, and stakeholder-ready reports. I am a data scientist and statistical programmer with 8+ years of experience and 1,000+ completed projects. My work spans data cleaning, exploratory analysis, hypothesis testing, regression, forecasting, machine learning, and data visualization. Tools: R/RStudio, SPSS, SAS, Stata, SQL, Excel, Tableau, and Power BI. What you receive: • A clear analysis plan aligned with your question • Clean, documented, reproducible code • Publication- or decision-ready tables and visualizations • Plain-language interpretation of findings I work carefully, communicate clearly, and can support a project from initial scoping through final reporting. Send your research question, data format, and deadline, and I’ll recommend the best approach.

I am a Google Certified Data Analytics Professional, Data Science Professional, and Academic Researcher with over 3 years of experience in Data Analysis, Statistical Modeling, Machine Learning (Feature Selection, Model Building, Hyperparameter Tuning, and Interpretation), and Artificial Intelligence. I have collaborated with scientific scholars from the USA, Canada, UK, China, and Bangladesh on diverse Data Science projects resulting in multiple Elsevier Q1 journal publications. I specialize in Statistical Analysis, Classification, Regression, Deep Learning, Natural Language Processing (NLP), and Time Series Analysis, using tools like Python, R, SPSS, Stata, and MS Excel. I am passionate about transforming data into actionable insights and solving complex problems. Skills & Expertise: • Programming Languages: Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Tensorflow, Keras, PyTorch, BERT), R • Frameworks/Tools: Jupyter Notebook, Rstudio, Google Colab • Statistical Software: STATA, IBM SPSS, MS Excel, IBM Amos Machine Learning: • Classification & Regression: Logistic Regression, Decision Trees, Random Forests, XGBoost, SVM, CatBoost, AdaBoost, LightGBM, KNN, GBM • Unsupervised Learning: K-means & DBSCAN Clustering, Apriori Algorithm • Model Validation: Holdout Method, Stratified K-Fold Cross-Validation • Ensemble Methods: Bagging, Voting, Stacking • Hyperparameter Tuning: Grid Search CV, Randomized CV, Bayesian Optimization • Model Interpretation: SHAP (Shapley Additive Explanations), Feature Importance • Resampling Techniques: SMOTE, ADASYN, Random Undersampling/Oversampling, Tomek Links, SMOTEENN, SMOTomek • Deep Learning: LSTMs, MLPs, CNNs • Natural Language Processing (NLP): Sentiment Analysis, Topic Modeling (LDA, BERT), Text Clustering, Keyword Extraction • Time Series Analysis: Expertise in modeling and forecasting using ML techniques • Statistical Modeling: Ordinal Logistic and Probit Regression, Bayesian Ordinal Logistic and Probit Regression, Structured Equation Modelling (SEM), Bayesian Structured Equation Modelling (BSEM), Poisson Regression, Multiple Linear Regression • Statistical Test: Hypothesis Testing (t-Test, ANOVA, Chi-Square Test), Correlation (Pearson, Spearman Rank, Phi Coefficient, Point-Biserial), Reliability Testing (Cronbach's Alpha, Kuder-Richardson), Multivariate Analysis (Factor Analysis, MANOVA, Principal Component Analysis-PCA) I’m passionate about turning data into actionable insights and delivering high-quality solutions to complex problems. Let’s work together to bring your data projects to life!

Welcome! I am a professional Data Analyst and Statistician with a strong academic foundation (BSc in Statistics) and years of experience delivering impactful data-driven solutions. My expertise spans multiple industries, and I am committed to helping clients turn raw data into actionable insights. 1. Services I Provide I offer tailored solutions in statistical analysis and data processing, including: Comprehensive data preparation, cleaning, and processing. Descriptive statistics: mean, median, mode, variance, and standard deviation. Advanced analytics: Regression and correlation analysis. Bayesian statistics and hypothesis testing. Multilevel modeling and longitudinal data analysis. Mediation and moderation analysis. Non-parametric tests, factor analysis, and cluster analysis. Professional data visualization for clear, impactful reporting. Survey data analysis and questionnaire insights. 2. Tools & Technologies My expertise includes industry-standard tools such as: SPSS – Advanced statistical analysis and modeling. Stata – Econometrics and robust data management. R and Python – Big data analytics, machine learning, and automation. Excel – Data management, reporting, and visualization. Minitab, EViews, and STATCRUNCH – Specialized tools for specific analysis needs. 3. What Sets Me Apart I bring a unique combination of academic excellence and practical experience, ensuring each project receives the highest quality of service. Key strengths include: Diverse Industry Experience: Worked on healthcare research, market surveys, business analytics, and academic studies. Fast Turnaround: Most projects completed in less than 24 hours. Client-Centric Approach: Prioritizing communication, collaboration, and satisfaction. 4. Why Hire Me? Proven track record of delivering accurate and reliable results. Ability to handle complex data analysis with ease. Flexible, detail-oriented, and available 24/7 to address your needs. 5. Ready to Work Together? I’m here to help you unlock the potential of your data and deliver insights that drive results. Whether it’s research analysis, business forecasting, or academic projects, I’ll ensure your data tells a story that matters. Let’s connect today and get started!

Hi, I’m Mamun Bhuiyan – A Data & Financial analyst with a solid economics background and a passion for turning complex data into clear, actionable insights. I leverage my experience with Accounting, R programming, alongside emerging skills in Excel, SQL, and Power BI to help businesses decode market trends, forecast economic outcomes, and drive strategic growth. 🔹With a keen eye for detail and a client-first mindset, I excel at: 1. Data Analytics & Visualization: I transform unstructured data into clear strategies using modern technical tools. ✔ Tools: Python, R Programming, SQL, and Power BI. ✔ Core Skills: Data cleaning, statistical analysis, econometric forecasting, and creating interactive dashboards to track KPIs. 2. Financial Analysis & Accounting: I bring the precision of a Commerce background to your financial reporting. ✔ Analysis: Ratio Analysis (Liquidity, Solvency), 10-K Report breakdowns, and Trend Analysis. ✔ Reporting: Preparing professional P&L Statements, Balance Sheets, and Cash Flow Reports. ✔ Modeling: Creating integrated financial models and feasibility studies (NPV/IRR). Why Work With Me? 🔹Analytical Rigor: I apply robust econometric techniques to solve real-world business challenges. 🔹Detail-Oriented: From code syntax to decimal points in a ledger, I ensure 100% accuracy. 🔹Clear Communication: I explain complex data in simple, business-friendly terms. I’m dedicated to continuous learning and innovation, ensuring that my tools and methodologies stay current in a rapidly evolving field. Whether you're looking to optimize business performance or explore sustainability trends, I’m here to translate data into strategies that deliver measurable results. 💡 Let’s discuss how I can help! Message me anytime.

I help researchers, organizations and graduate students turn raw survey and study data into clear, defensible statistical results — and where needed, into publication-ready reports, not just output tables. With 17+ years of experience — including as a team leader on large-scale research and development projects — I specialize in: ✔ Thesis/PhD data analysis — statistical analysis, interpretation, and APA-style reporting for graduate research ✔ Survey data analysis — market research, consumer surveys, and trend analysis, from small to large datasets ✔ Statistical & specialized methods — SPSS, R, Python; hypothesis testing, regression, ANOVA, MCDA/TOPSIS, DIF/GMH, uncertainty quantification ✔ Report writing — turning analysis into clear, well-structured, publication-ready reports My background also includes large-scale field research in Health, Nutrition, Child protection, Environment, Education, and WASH programs — leading household survey data collection (including Kobo Toolbox) for populations as large as 10 million and managing research databases in Access and SQL. This gives me strong practical grounding in real-world data quality, survey design, and messy or complex datasets — skills I bring into every project. ⭐ What I Can Do for You ✔ Clean, validate, and analyze survey/research datasets — small or large, few or many variables ✔ Perform statistical analysis in SPSS, R, or Python, from basic tests to advanced/specialized methods ✔ Support PhD/Masters thesis data analysis with clear, defensible, APA-style output ✔ Write publication-ready reports, not just raw statistical output ✔ Handle large or messy datasets with confidence ✔ Deliver results both researchers and non-technical readers can understand ⚙️ Tools: SPSS | R | Python | Excel | SQL | MS Access | KoboToolbox | PySpark I maintain a 100% Job Success score and Top-Rated status on Upwork. I take pride in accurate, well-documented work — from a single survey analysis to a full thesis-to-publication project.