Vandita Kumari

Driven Associate Software Engineer from RS Software, I excel in deploying AI/ML models and advanced NLP for fraud detection, showcasing my Python prowess and critical thinking. Leveraged teamwork to enhance product reliability, mastering technologies like Java and PostgreSQL. Achievements include significant risk minimization in real-time transactions.

• · Applied Machine Learning & its Applications using Python
  Eduxlab in association with E-cell, IIT Hyderabad
• · Database Management Systems (DBMS)
  NPTEL
• · Joy of Computing using Python
  NPTEL
• RDBMS Concepts
• Spring Boot
• SQL
• Data Modeling
• JUnit & Unit Testing
• Email Etiquette

TITLE: Application of Machine Learning and Deep Learning in diabetic feature extraction,

Classification and side effect determination.

(Supervisor: Prof Iti Saha Misra, Professor, Electronics and Telecommunication, Jadavpur University)

DESCRIPTION:

· Developed and implemented ML and DL models for accurate classification, utilizing algorithms such as SVM, LSTM, and KNN to achieve robust predictive models for diagnosing medical conditions with high accuracy.

· Applied deep learning methodologies to analyze retinal images and patient data, focusing on the identification of Diabetic Retinopathy stages and potential side effects, enabling early detection and intervention.

· Trained models to recognize patterns indicative of adverse reactions, contributing to improved diagnostic capabilities and timely medical responses.

TITLE: Finding Significance of HbA1c Test in Diabetes Management using Machine Learning.

Authors: Vandita Kumari, Iti Saha Misra

Conference: 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Bhubaneswar

DOI: 10.1109/ICAIHC59020.2023.10431428

https://www.linkedin.com/in/vandita-kumari-1a5333129/