Location : Jaipur
Experience : 3.6 Year
Rate: $22 / Hourly
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
A Data Science enthusiast with hands-on experience in handling data-driven solutions using Statistical and Machine Learning techniques. With 3 years of experience as a Software Engineer in the Customer banking domain.
Machine Learning: Classification, Regression, Clustering | Statistical Methods: Predictive Analysis, Hypothesis, Exploratory Data Analysis | Programming Languages: Python, Java | Database Language: SQL, RDMS | G Suite: Sheets, Docs | Tools: Tableau
Capstone Project: Hotel Cancellation Prediction
o Hotel booking cancellation is the biggest hardship for Revenue Management.
o The various techniques used in the predictive model building are descriptive statistics, outlier treatment, need for data standardization, and various performance metrics to validate the performance of predictions on Test & Train sets along with model tuning.
Models: CART, Random Forest, KNN, Gradient Boosting.
● Bank Customer Segmentation:
o Using the concepts of Hierarchical and K-Means clustering for the bank customer segmentation and creating clusters as Max payers or Full Payers, Non-Payers, Revolvers.
o The various techniques used are descriptive statistics, outlier treatment, the impact of scaling on clusters, cluster profiling. Models: Agglomerative Clustering, K-Means Clustering.
● Visualizing Insurance Claims using Tableau:
○ Create interactive dashboards and storyboards to provide high-level insights.
○ Explore the art of problem-solving with the aid of visual analytics