Shikha Chaudhary

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Tableau.

Languages

• Python , SQL

ML FrameWorks

• Scikit-learn , Pandas , Numpy , Matplotlib , Seaborn

Platform

• Jupyter Notebook , Google Colab , MS-Office , GitHub , Tableau

Advance Machine Learning

(08/2021 - 09/2021)

Python For Data Science and Machine Learning - DATA TRAINED

(08/2021 - Preasent)

Micro-Credit Defaulter
Data-Trained Approved Project
(Nov’21 – Nov’21)

• Implemented the Micro-Credit Defaulter topic modern algorithm on the content that can be used to predict if a Client will pay back the lent amount with in Five days of loan , Insurance in terms of probability for each loan transaction.
• The heat map was used to access the association between the label and feature data column in particular , Extra trees classifier was chosen as my best model.
• The studies Key finding and conclusion are that based on the numerous variables taken into account and MFI can determined whether a person will return money or not , and whether or not an MFI should issue a load to that individual.

Customer Retention Analysis
Data-Trained Approved Project | Flip Robo
(Oct’21 – Oct’21)

• Customer Retention refers to the activities and actions companies and organizations take to reduce the number of customer defection, the goal of the customer retention program is to help companies retain as many customers as possible, often through customer loyalty and Brand loyalty initiatives.
• According to the data the companies with higher retention and customer satisfaction rates are amazon.in and flipkart.com, because their positives are line with the buyer preference and they are most likely to use their website to purchase in future.

Car Price Prediction Project
Data-Trained Approved Project | Flip Robo
(Nov’21 – Nov’21)

• According to the data We gained knowledge into how to gather data, pre-process the data, analyze the data, and construct a model after completing this project. First, we utilized Web Scraping to acquire data on used automobiles from several websites such as OLX, Car Dekho, Cars 24, and OLA.
• According to their r2 score and cross validation scores, the Extra Tree Regressor Algorithm performed well. Then, using Grid Search CV, we used the Hyperparameter Tuning approach to find the optimal parameters and improve the score.

Badminton , Cooking , Dancing , Travelling

Languages

• Python , SQL

ML FrameWorks

• Scikit-learn , Pandas , Numpy , Matplotlib , Seaborn

Platform

• Jupyter Notebook , Google Colab , MS-Office , GitHub , Tableau

Advance Machine Learning

(08/2021 - 09/2021)

Python For Data Science and Machine Learning - DATA TRAINED

(08/2021 - Preasent)

Micro-Credit Defaulter
Data-Trained Approved Project
(Nov’21 – Nov’21)

• Implemented the Micro-Credit Defaulter topic modern algorithm on the content that can be used to predict if a Client will pay back the lent amount with in Five days of loan , Insurance in terms of probability for each loan transaction.
• The heat map was used to access the association between the label and feature data column in particular , Extra trees classifier was chosen as my best model.
• The studies Key finding and conclusion are that based on the numerous variables taken into account and MFI can determined whether a person will return money or not , and whether or not an MFI should issue a load to that individual.

Customer Retention Analysis
Data-Trained Approved Project | Flip Robo
(Oct’21 – Oct’21)

• Customer Retention refers to the activities and actions companies and organizations take to reduce the number of customer defection, the goal of the customer retention program is to help companies retain as many customers as possible, often through customer loyalty and Brand loyalty initiatives.
• According to the data the companies with higher retention and customer satisfaction rates are amazon.in and flipkart.com, because their positives are line with the buyer preference and they are most likely to use their website to purchase in future.

Car Price Prediction Project
Data-Trained Approved Project | Flip Robo
(Nov’21 – Nov’21)

• According to the data We gained knowledge into how to gather data, pre-process the data, analyze the data, and construct a model after completing this project. First, we utilized Web Scraping to acquire data on used automobiles from several websites such as OLX, Car Dekho, Cars 24, and OLA.
• According to their r2 score and cross validation scores, the Extra Tree Regressor Algorithm performed well. Then, using Grid Search CV, we used the Hyperparameter Tuning approach to find the optimal parameters and improve the score.

Badminton , Cooking , Dancing , Travelling