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ANKUSH RAI

ANKUSH RAI

Machine Learning Intern

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location of ANKUSH RAIPusat Kota Bengaluru, Karnataka, India

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  • Timeline

  • About me

    Competitive Coder | Solved over 200+ Questions | Android Developer💻 | Web Developer | Developed Over 20+ Projects | 250+ Contributions | Can Code in 5+ programming languages | Familiar with Jetpack Compose and Flutter

  • Education

    • St. Francis of Assisi School

      2004 - 2018
      High School Maths Science

      Activities and Societies: Football, Drama Club, Writing Club, Dancing group and Computer Club, etc. I was so lucky to attend this great school. This School is responsible for my all-around personality development. I was just a boy from a little village when I entered this school. They took me in and made me a part of their tribe. They made me who I am today. I learned all the great things here drama, computers, dancing, etc. but the most important thing I learned is the importance of people and how to be a good person. Due to this school, I feel like I have a responsibility in this world.

    • CMR University

      2018 - 2022
      Bachelor of Technology - BTech Computer Science 9.49 GPA

      Activities and Societies: Literature Club, Cultural Club, Tech Club, etc I spend 3 great years in this college. Although it was hard to leave my hometown and come to this far away place. These teachers guided me through my mistakes and gave me advice whenever needed. The college gave me enough time to work on my skills and grow as an individual.

  • Experience

    • IPEC Solutions

      Mar 2022 - May 2022
      Machine Learning Intern

      IPEC Solutions is a service-oriented organization in Information Technology (IT) domain, founded to create significant space for IT Training & Consulting, Managed IT Services & Tech Transformation.IPEC Solutions Provided me with an opportunity to work as a machine Learning Intern on the project “Interpretable Machine Learning Using Diabetic Data”. In this project, we must take the training dataset that contains various factors like BMI, Age, Skin Thickness, Insulin levels, etc., and predict whether the person will have diabetes in the future. This is an interpretation project in which we not only find the prediction but also find the contribution of each factor in a healthy person having diabetes in future.To build this project we learned Machine learning libraries like pandas, Numpy, LightGBM, Graphviz , Matplotlib etc. and we also learned machine learning tools like Google Collab and Jupyter Notebook. Show less

    • Allstate India

      Aug 2022 - now
      Associate Consultant

  • Licenses & Certifications