Prof. Jyovita Christi

M.E, B.E

Area of Interest

Generative AI, Machine Learning, Data Science, Python, Natural Language Processing

Qualification
Majors Degrees

  • M.E. in IT Engineering – GTU (2018-2020)

  • B.E. in IT Engineering –GTU (2013-2017)


Online Certified Courses


  • Python for Everybody Specialization (5 courses) -MichiganUniversity, Coursera

  • Relational Algebra -Stanford Online

  • Responsive Website Basics: Code with HTML, CSS andJavaScript -London University, Coursera

  • Interactive Python Programming -Rice University, Coursera

  • Exploratory Data Analysis for Machine Learning -IBM, Coursera

  • Supervised Machine Learning Regression and Classification -DeepLearning.AI & Stanford, Coursera

  • Fundamentals of Deep Learning -NVIDIA Deep Learning Institute

  • Building Transformer-Based Natural Language Processing Applications -NVIDIA Deep Learning Institute

  • Building Conversational AI Applications -NVIDIA Deep Learning Institute

  • Neural Networks and Deep Learning -DeepLearning.AI

  • Big Data Engineering with Hadoop and Spark -CloudxLab

  • Data Analysis and Visualization -SUNY, Coursera

  • Programming, Data Structures and Algorithms -IIT Madras, NPTEL

Academic
  • Total academic experience is of 6.5 years.

Graduate Level


  • Web Technologies, DBMS, Python, Python Django Framework Discrete Mathematics, Data Analysis & Visualization, Machine Learning, Applied Machine Learning, Data Science, and Operating Systems.

Seminars/Workshop Conducted

  • AI Game Theory for Faculty of RC Technical College

Seminars/Workshop Attended

  • Writing a Review Paper

  • Workshop on LaTeX

  • Problem Solving & Ideation

  • My Journey of Entrepreneurship

  • Design Thinking, Critical Thinking and Innovation Design

  • Writing and Publishing of Research Articles

Research Papers 

  • Sentiment Categorization through Natural Language Processing, 2344-2351, JETIR

  • Sentiment Analysis on product reviews using a hybrid Rule-Based Approach and Logistic Regression (Master’s Thesis)

  • Chatbot with RASA and Python

  • Perform Sentiment Analysis with scikit-learn

  • Hive Visualization -CloudxLab

  • Log Parsing with Spark -CloudxLab

  • Sentiment Analysis in Hive -CloudxLab