Statistical Analysis & Machine Learning Services
We specialize in a wide range of statistical and machine learning techniques to help you extract insights, make informed decisions, and optimize processes.
Statistical Analysis Services
We conduct rigorous statistical testing and data modeling for research, business intelligence, healthcare, finance, and more.
- Descriptive & Inferential Statistics
- Data summarization: Mean, Median, Mode, Variance, Standard Deviation
- Data visualization: Histograms, Boxplots, Scatterplots
- Confidence intervals & Margin of error calculations.
- Hypothesis Testing & Inferential Analysis
- Parametric Tests
- T-tests (One-sample, Independent samples, Paired samples)
- ANOVA (One-way, Two-way, Repeated Measures, Mixed Design)
- Regression Analysis (Linear, Multiple, Logistic, Polynomial)
- Pearson Correlation Coefficient
- Z-tests
- Non-Parametric Tests
- Mann-Whitney U test
- Wilcoxon Signed-Rank test
- Kruskal-Wallis test
- Spearman’s Rank Correlation
- Chi-Square Test (Goodness-of-fit, Independence)
- Parametric Tests
- Multivariate & Advanced Techniques
For complex data relationships and pattern recognition, we offer:
- Principal Component Analysis (PCA)
- Factor Analysis (Exploratory & Confirmatory)
- Cluster Analysis (K-Means, Hierarchical, DBSCAN)
- Discriminant Analysis
- Canonical Correlation
- Structural Equation Modeling (SEM)
- Time Series Analysis & Forecasting
Ideal for financial modeling, sales forecasting, and business intelligence:
- Autoregressive Integrated Moving Average (ARIMA)
- Seasonal ARIMA (SARIMA)
- Holt-Winters Exponential Smoothing
- Granger Causality Test
- Durbin-Watson Test (For auto-correlation detection)
- Bayesian & Resampling Methods
- Bayesian Regression & Inference
- Bootstrap & Jackknife Resampling
- Monte Carlo Simulations
Survival & Reliability Analysis
Used in medical research, engineering, and actuarial science:
- Kaplan-Meier Estimator
- Cox Proportional Hazards Model
- Weibull Analysis
Machine Learning & AI Solutions
We leverage cutting-edge machine learning techniques for predictive modeling, automation, and data-driven decision-making.
- Supervised Learning (Predictive Modeling)
- Linear & Logistic Regression
- Decision Trees & Random Forests
- Support Vector Machines (SVM)
- Gradient Boosting (XGBoost, LightGBM, CatBoost)
- Neural Networks & Deep Learning (TensorFlow, PyTorch)
Unsupervised Learning (Pattern Detection & Clustering)
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Association Rule Learning (Apriori, FP-Growth)
Natural Language Processing (NLP)
We provide text mining and sentiment analysis using:
- Topic Modeling (LDA, LSA, NMF)
- Named Entity Recognition (NER)
- Text Classification & Summarization
- Deep Learning & Neural Networks
- Image Recognition (CNNs – Convolutional Neural Networks)
- Speech Recognition & Processing
- Recurrent Neural Networks (RNNs, LSTMs)
- Time Series Forecasting & Anomaly Detection
- LSTMs & Transformer-based Models
- Outlier & Fraud Detection
Qualitative Data Analysis
For qualitative research in social sciences, healthcare, and business, we offer thematic, content, and discourse analysis using tools like NVivo and MAXQDA.
- A. Qualitative Research Methods
- Thematic Analysis – Identifying themes and patterns in qualitative data
- Content Analysis – Coding and categorizing textual data
- Grounded Theory – Developing theories from data
- Phenomenological Analysis – Understanding lived experiences
- Narrative Analysis – Studying stories and personal experiences
- Discourse Analysis – Examining language use and communication
Who We Help
✅ Academic Researchers & PhD Candidates – Thesis support, research design, and statistical analysis.
✅ Businesses & Startups – Market research, predictive analytics, and business intelligence solutions.
✅ Medical & Healthcare Organizations – Clinical trials, epidemiological studies, survival analysis.
✅ Finance & Banking – Risk analysis, fraud detection, investment modeling.
✅ Social Scientists & Government Agencies – Policy evaluation, demographic studies.
✅ E-commerce & Marketing Teams – Customer segmentation, demand forecasting