Mogili Sai Kumar

Aspiring Data Scientist with a strong foundation in data analysis and project management. Recently acquired comprehensive knowledge in data science tools and techniques, including Python, Numpy, Pandas, SQL, and Tableau. Proven ability to manage projects, analyze data, and drive results. Seeking to leverage technical and analytical skills in a data science role. Encouraging manager and analytical problem-solver with talents for team building, leading and motivating, as well as excellent customer relations aptitude and relationship-building skills. Proficient in using independent decision-making skills and sound judgment to positively impact company success. Dedicated to applying training, monitoring and morale-building abilities to enhance employee engagement and boost performance. Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Uses independent decision-making skills and sound judgment to positively impact company success.

• Advanced Certificate Programme in Data Scienece (IIITB)
• Snowpro Core Certified

• Active volunteer at social service events conducted by Rotaract Club
• Organizing member of the blood bank at NITK Campus
• Voluntary donor for UNICEF child safety programs

• Lead Scoring Case Study, In this case study on Lead Scoring, a machine learning model has been developed to assist X Education in determining whether a lead is likely to become a paying customer. This model aids the company in making well-informed decisions about which leads to prioritize for conversion
• Credit_Exploratory Data Analysis, Target 0 seeks to pinpoint clients likely to repay loans reliably, while rejecting them could mean a lost business chance. Target 1 identifies clients who delayed an installment payment by over X days, flagging those at risk of future default. This lets the company mitigate credit risk effectively.
• Telecom_Churn, The primary objective of this project is to leverage customer-level data analysis and predictive modeling in the telecom industry to reduce customer churn. The aim is to build and evaluate multiple classification models to identify the best model for the exercise
• RSVP_Case_Study, The production company wants to plan their every move analytically based on data and have approached you for help with this new project. You have been provided with the data of the movies that have been released in the past three years. You have to analyze the data set and draw meaningful insights that can help them start their new project.