DASHBOARDS
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RFM Segment Review
Tableau | SQL
USA - Property Listings
Tableau
eCommerce Monthly Sales (Interactive)
Power BI | SparkSQL
Olympic Games ROM Review
Power BI | MySQL
Electric Vehicles - (Interactive)
Python | Plotly | Dash
Property Rentals - (Interactive)
Python | Plotly | Dash
Hosted dashboards have a 30-60 Second Load.
ANALYTICS PROCESSES
Special purpose analyses.
RFM Segmentation (Notebook)
SQL | Python | Jupyter | Customer Segmentation
PRESENTATIONS & REPORTS
Credit Risk (Report)
Python | LightGBM | AI & Machine Learning | CRISP-DM
Multicategory eCommerce (Report)
PySpark | AWS | Bigdata | Python | SQL
Employee Attrition/Churn (Presn.)
Python | Bivariate Analysis | Machine Learning
GENERAL ANALYSIS
HR Analysis
Python | Data Viz | Seaborn | Plotly | ML
Credit Risk
Python | LightGBM | Neural Net | CRISP-DM
Employee Attrition/Churn
Python | EDA | ML
Multicategory eCommerce (Raw Code)
PySpark | AWS | Bigdata | Python | SQL
Network Analysis (Raw Code)
R-Programming | Causality | Propensity | Data Viz
Google App Store (Raw Code)
R-Programming | Network Analysis | Directionality | Hub & Authority
Analyses are mainly done using raw CSV, Parquet, or JSON Data and analyzed using open source resources like Python, R, and SQL (MySQL, postgreSQL).
All Machine learning and Artificial Intelligence is done using Python.
