Sai Sankar Chakradhar Maddali

An aspiring data scientist with a strong academic background in business analytics and data science. Completed a Post Graduate Program in Data Science from a reputed institution and currently pursuing a Master's degree in Data Science from Golden gate university. Skilled in statistical analysis, machine learning, data visualization, and programming languages such as Python. Adept at using tools such as SQL, Tableau to solve complex data problems. Seeking to leverage my knowledge and passion for data science to contribute to the success of a dynamic and innovative organization..

https://www.linkedin.com/in/chakradhar-maddali-97117818a/

• KPMG Data analytics Consulting Virtual Internship
• LinkedIn skill badge in SQL, Machine learning
• Coursera AI for everyone
• Budding entrepreneur program from IIM Bangalore
• Coursera What is Data Science?

Prediction of Term Deposit Subscription :

 The Main objective of this project is to develop a classifier accuracy to predict which customer will subscribe to a long-term deposit proposed by a bank and focus marketing effort on such clients. Using Different Classification Algorithms such as Logistic Regression, Random Forest, Decision Tree. By implementing the resultant models built using the above methods, we can suggest the optimal customer, which the company should focus in order to generate their revenue through subscription.

Key skills : Python, Pre-processing, Statistics, Feature Engineering, Grid Search CV, Random Forest 

Online Shopping Process Analytics Using SQL:

To learn and understand the purchasing behavior of online customers, the data is confined to ‘Sales and Delivery’ and is provided for the period of last decade. This will be useful in Analyzing seasonality & business patterns Product analysis, User analysis order placed and orders delivered

Key skills ; SQL, Nested Queries, Joins 

KPMG Virtual Internship on Data Analytics Consulting:

 Client is a medium sized bike company which has provided datasets regarding customer demographic,their addresses, their transactions with the company and new registered customers in their database. While doing that, it is found that 39 customers with score 144 are best customers the company is losing. The key take-away from this project was customer churns was affected by price changes rather than constant price, which suggests customer were shifting to lower prices when they encountered a positive change in price.

Key skills :  Python, Pre-processing, Statistics, Feature Engineering, Grid Search CV, Correlation

• Represented college as NSS associate for 3 years.
• Represented school at Mandal level in Kabaddi.