Qualified Business Analyst with wide Business knowledge and Engineering background. Possessing theoretical and practical abilities in a range of Business applications, from classic analysis to complex studies conducted through different coding platforms such as Dev C++, R, Python, SQL. Advanced Knowledge on Data Interpretation & Data Visualization (Tableau, Excel and similar)Technical Skills- SQL (Databases | ERD Building and Reading | | Reverse Engineering | Data Importing )- Python (NumPy | Pandas | Scikit-Learn | Matplotlib | Seaborn )- R (Tidyverse | dplyr | ggplot2 | tidyr | reader | broom | Tokenization Analysis )- Tableau (TableauPrep | Tableau Desktop | Data Cleaning | Data Visualization | Dashboard | KPIs )- Excel (Pivot | VLOOKUP | Solver )- Presentation (PowerPoint | Canva | Mural | Design )- Machine Learning (ML Algorithms )- Natural Language Process (NLP ) - Data Optimization - Data Analysis- Statistical Modeling- Clustering & Classification- Quantitative Analysis- Model Development- Learn Model CanvasEngineering Skills- Dev C++ (Big Data Analysis and Advanced Databases | Data Intelligence | Advanced Software Engineering | Artificial Intelligence )- Excel (Excel Solver for Optimization Problems | Coding with Excel, Excel Macros )- Mathematical Analysis I (Real Numbers | Complex Numbers | De Moivre Theorems | Derivates | Limits and continuity | Integrals | Curves in R3 | Differential Geometry of curves | Vector Fields | Differential Equations | Complex Analysis )- Statistics (Models of Random Variables | Hypothesis Testing | Statistical Tests )- Logistic and Product Management (Supply Chain Management | Performance Evaluation | Inventory Management | Demand Forecast | MPS Scheduling Method | MRP Scheduling Method | Just in Time Systems )- Investment Analysis (WACC | Flow to Equity | Adjusted Present Value )