Reshma B Nair

Educator turned Data Scientist, dedicated to applying experience and analytical skills in a Data Scientist role. Committed to leveraging data analysis, machine learning, and programming abilities to create meaningful data-driven solutions.

• Certification in Python for Data Science, with ongoing pursuit of an Advanced Data Science and AI Certification from Learnbay
• Certification as a Whitehat Jr Teacher for Skills in Application Development Fundamentals and the Python Programming Language.
• Certified as a Microsoft Innovative Educator with expertise in Microsoft MEE Education Skills for Innovation.
• Certified in Skills for Innovation from INTEL

• Submitted a paper on "Educational Data Mining: A Systematic Review of Machine Learning Algorithms" in IEEE Conference at NIT Manipur
• An approach to identify the depressed people using tweets", International Journal of Control Theory and Applications, Vol 9 pp, 2016- Scopus Indexed
• A Flask based application for recommending similar kind of dresses", International Journal of Engineering and Technology - Scopus Indexed
• Face Recognition based new generation ATM system", International Journal for Science and Advance Research in Technology, ISSN 2395- 1052, Vol 3, Issue 11, 2018
• Biometric based classroom monitoring system", International Journal of Research in Engineering Science and Management, Vol 1, Issue 1, 2017
• Mobility Management in Vertical Handover using Load Balancing Mechanism", Tenth International Conference on Computing, Communication and Information Systems NCCCIS-18

• Gilbert Research Center, Coimbatore: (Sept 2022)
• VDime Innovations Pvt Limited, IIT Madras Research Park, Chennai (Dec 2015- June 2016)

Ph.D.: (Part-time): Deep Learning                                                                                          2021-Present

• Karunya University, Coimbatore

 M.Tech: Computer Science                                                                                                     2014-2016 

• Amrita Vishwa Vidyapeetham, Coimbatore CGPA: 7.68

B.Tech: Information Technology                                                                                             2010-2014 

• KGISL Institute of Technology, Coimbatore CGPA: 8.1

1. Problem Statement: Enhancing car insurance risk assessment and premiums via accurate claim probability prediction.

   Solution: 

• Comparative analysis identified Random Forest as the best model.
• Text analytics improved risk assessment via NLP and sentiment analysis.
• Statistical analysis revealed data patterns and relationships.
• Leveraged Python, libraries, and tools for comprehensive insights.

  Conclusion: Random Forest's selection promises to revolutionize insurance assessment and pricing for mutual benefit with about 92% accuracy.

2. Problem Statement: Recommending fashion items based on a user's Facebook photos. 

    Solution: 

• Developed an app utilizing Collaborative Filtering algorithm for fashion recommendations.
• Utilized user's Facebook photos as input data to analyze past fashion interactions.
• Enhanced fashion communication by suggesting similar dresses based on the algorithm.
• Improved user engagement and style exploration with tailored fashion recommendations

    Conclusion: This app streamlines fashion recommendations, benefiting users and the fashion industry.

• Paper Title: "Educational Data Mining: A Systematic Review of Machine Learning Algorithms" presented at IEEE Conference at Karunya University, Coimbatore.
• Paper Title: "A Flask based application for recommending similar kind of dresses" published in International Journal of Engineering and Technology (2018) - Scopus Indexed.
• Paper Title: "Face Recognition based new generation ATM system" published in International Journal for Science and Advance Research in Technology (Vol 3, Issue 11,2018).
• Paper Title: "Biometric based classroom monitoring system" published in International Journal of Research in Engineering Science and Management, (Vol 1, Issue1, 2017).
• Paper Title: "An approach to identify the depressed people using tweets" published in International Journal of Control Theory and Applications (Vol 9, 2016) - Scopus Indexed