Big Mart Data Analysis
Published:
Data Analysis performed on Big Mart Dataset.
Posts by Collection
portfolio
FitNEss
Published:
Physical fitness and mental health monitoring app.
Face Sketch-Photo Synthesis & Recognition
Published:
Framework to synthesize face sketches from photos and vice-versa along with facial recognition.
ilmodella - Fashion Website
Published:
Designed a fashion e-commerce website with dynamic web pages and attractive display of outfits.
Neural Network from Scratch
Published:
Designed a neural network from scratch using numpy.
SRS-Document-for-Online-Shopping-Website
Published:
Prepared a System Requirements Specification Document for an online shopping website.
Roadmap
Published:
A simple implementation a travel planner using graph data structure.
Stock Market Trend Prediction
Published:
Stock market trend prediciton done on the S&P market index datasetp.
publications
Face Sketch-Photo Synthesis and Recognition
Published in Springer ‘Lecture Notes in Networks and Systems’ book series, 2022
A framework devised to mitigate the challenge faced by the law enforcement in accurately identifying faces of criminals through forensic sketches or mugshot photos.
Recommended citation: Mitravinda, K. M., et al. "Face Sketch-Photo Synthesis and Recognition" International Conference on Image Processing and Capsule Networks. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-12413-6_7
Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19
Published in Springer Nature Computer Science, 2023
Researched the factors affecting mental health of employees in the tech industry, performed prediction and mental health risk-classification along with multi-year study on the impact of COVID-19 towards the mental health scenario in tech.
Recommended citation: Mitravinda, K. M., Devika S. Nair, and Gowri Srinivasa. "Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19" SN computer science 4.2 (2023): 197. https://link.springer.com/article/10.1007/s42979-022-01613-z
Employee Attrition: Prediction, Analysis Of Contributory Factors And Recommendations For Employee Retention
Published in IEEE Xplore, 2023
A framework designed to predict employees’ susceptibility to attrition and provide employers with recommendations to prevent attrition.
Recommended citation: Mitravinda, K. M., and Sakshi Shetty. "Employee Attrition: Prediction, Analysis Of Contributory Factors And Recommendations For Employee Retention" 2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE). IEEE, 2022. https://ieeexplore.ieee.org/document/10176235
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.