HARISH MEENA

Customer churn prediction using R, IIM Sirmaur, 06/23 -09/23

• Developed and evaluated various machine learning models to predict customer churn rates using descriptive and predictive analytics methodologies, with the help of the R programming language
• Select the best model based on its accuracy, which businesses can use to identify at-risk customers

Credit card purchase prediction using Python, IIM Sirmaur, 06/23 - 09/23

• Developed and evaluated various ML models to predict credit card purchase likelihood using Python
• Used market basket analysis techniques to identify products that are frequently purchased together using credit cards, which can be bundled together and used in recommendations to increase sales
• Select the best models based on the accuracy of various machine learning models, which can be used by businesses to identify and target potential customers, and increase their credit card sales in the future

• Lean Six Sigma Green Belt, Grant Thornton, 2022
• Foundations of Digital Marketing and E-commerce, Google, 2022
• Project Management Virtual Experience, Accenture (Forage), 2023

• Active member, Fine Arts Club, NIT, Kurukshetra, Coordinated and managed Confluence (cultural festival of National Institute of Technology, Kurukshetra) for three straight years from 2017 to 2019.
• Member, Anamika Society, NIT, Kurukshetra, Coordinated and oversaw Utkarsh (Hindi Literature festival of National Institute of Technology, Kurukshetra) for three consecutive years from 2017 to 2019.

• Secured 1st rank in the Best Out of Waste competition organized by the Fine Arts Club (FAM), NIT Kurukshetra, 2019
• Ranked 2nd in the Pot Painting Competition organized by the Fine Arts Club (FAM), NIT Kurukshetra, in 2019
• Did trekking (Kedar Kantha Trek, Naag Tibba Trek, and Bhramtal Trek) and river rafting (Manali and Rishikesh)