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K R (RID : j80mkyif22pk)

designation   Software Engineer

location   Location : Jaipur

experience   Experience : 3.6 Year

rate   Rate: $22 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 5
Total Views : 324
Key Skills
Machine Learning Data Analysis Python Java SQL


 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

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