Areen Krishan Taingour

Built an interactive Market Entry Strategy Dashboard leveraging Python, Pandas, NumPy, Scikit-learn, and Streamlit to assess market attractiveness and competition intensity.

Implemented comprehensive TAM/SAM/SOM analysis, risk assessment, and sensitivity modeling to simulate diverse market scenarios and inform strategic planning.

Developed sophisticated financial models, including NPV, IRR, and payback period analysis, to support robust investment decisions and evaluate project feasibility.

Developed an interactive Streamlit application to identify customers at high risk of churn, enabling businesses to implement targeted retention strategies.

Executed extensive data preprocessing, feature engineering, and exploratory data analysis (EDA) to uncover key churn-driving factors and optimize model input quality.

Trained and rigorously evaluated multiple machine learning models (Logistic Regression, Random Forest, XGBoost) to maximize prediction accuracy and support proactive business interventions.

Engineered and deployed an interactive analytics platform utilizing Python, Pandas, NumPy, NLP, and Streamlit to analyze social media data and identify critical patterns related to mental health.

Performed comprehensive text mining, sentiment analysis, and topic modeling on user-generated content, successfully detecting stress, anxiety, and depression signals.

Applied and evaluated diverse machine learning models for classification and correlation analysis, demonstrating significant relationships between digital behavior and mental health indicators.