Data Analytics & Statistical Services (Python / RStudio)
1. Data Cleaning & Preprocessing
Description: Transform raw data into clean, usable datasets for analysis and reporting.
Deliverables:
* Handling missing data & outliers
* Data normalization & transformation
* Exploratory data analysis (EDA) report
2. Descriptive & Inferential Statistics
Description: Comprehensive statistical analysis for research, engineering, or business applications.
Deliverables:
* Descriptive statistics (mean, median, variance, correlation)
* Hypothesis testing (t-test, ANOVA, chi-square, non-parametric tests)
* Confidence intervals & effect size analysis
* Visual summary (ggplot2 in R / matplotlib in Python)
3. Reliability & Survival Analysis
Description: Specialized statistical modeling for engineering, maintenance, and risk assessment.
Deliverables:
* Weibull distribution fitting & life data analysis
* MTBF/MTTR estimation
* Kaplan-Meier survival curves & hazard function
* Reliability block diagrams (if required)
4. Predictive Modeling & Machine Learning
Description: Build models to forecast outcomes, classify data, and optimize decisions.
Deliverables:
* Regression models (linear, logistic, polynomial)
* Time series forecasting (ARIMA, Prophet)
* Clustering & classification (K-means, decision trees, random forests)
* Model evaluation & accuracy metrics
5. Data Visualization & Dashboards
Description: Present insights clearly through powerful visual tools.
Deliverables:
* R Shiny interactive dashboards
* Python dashboards (Plotly, Dash, Streamlit)
* Publication-ready charts & infographics
* Executive summary with insights & recommendations
6. Reproducible Reporting & Documentation
Description: Transparent and professional reporting with reproducible code.
Deliverables:
* R Markdown reports / Jupyter Notebooks
* Well-documented source code
* Executive PDF or Word report with interpretations
⚡ Tools Offered:
* Python stack: pandas, NumPy, matplotlib, seaborn, scikit-learn, statsmodels
* RStudio stack: ggplot2, dplyr, survival, caret, Shiny