Shikha Chaudhary

• Maintained customer satisfaction with forward-thinking strategies focused on addressing customer needs and resolving concerns.

• Created data visualization graphics, translating complex data sets into comprehensive visual representations.
• Worked in telecom industry project in providing the micro credit loan to which type of customers by consideration of various inputs using machine learning

KEY PROJECTS:

Domain: Micro-Credit Defaulter_Non-Defaulter classification | Nov'21

Tech Stack: Python, Jupyter Notebook

• Objective: Build a predictive model for detecting defaulter and non-defaulter users.
• Solution: Did EDA, treated data imbalance using SMOTE, built multiple models & did hyperparameter tuning for best performing models in each category, treated outliers using percentile approach without removing the data.
• Extra tree Regressor Model is best fit for this.

Domain:Car Price Prediction Project| Nov'21

Tech Stack: Python , Jupyter Notebook

• Objective: Build a predictive model for used car price.
• Solution: Did EDA,treated data imbalance using Data analysis, built multiple models & did hyperparameter tuning for best performing models in each category, treated outliers using percentile approach without removing the data .
• According to their R2 score and cross validation scores, the Extra tree Regressor Algorithm performed well.