Shahram Wakili

• Analyze and interpret data for this startup by collecting, cleaning and finding patterns using unsupervised learning and libraries (Pandas, NumPy, Scikit-learn)
• Route Optimization and target best deals over the year.(Statistical Analysis)
• Conduct EDA and visualizations.(Matplotlib, Seaborn
• Representing the outcomes and actionable insights to the client.(Creating representation and Dashboard's)

• Project-1

Large Language Models, Transformers, Prompt Engineering, Exploratory Data Analysis, Data Manipulation, Word Embeddings, Text Preprocessing

• Project-2

Image Processing, Keras, Tensorflow, Convolutional Neural Networks, Transfer Learning

• Project-3

EDA, Data Preprocessing, Tensorflow, Keras

Artificial Neural Networks, Regularization

• Project-4

Analyze the data and come up with a predictive model to determine if a customer will leave the credit card services or not and the reason behind it.

RANDOM FOREST, Bagging, Boosting, SMOTE

Cross Validation, Data Preprocessing, Hyperparameter Tuning

• Project-5

Data pre-processing, Model building, Decision Tree

Model Performance Evaluation, Improvement

Business Recommendations

Project-6

python, Numpy, Pandas, Seaborn

Univariate AnalysisIvariate Analysis

Exploratory Data Analysis

Business recommendations, Bivariate Analysis