Summary
Overview
Work History
Education
Skills
Websites
Research
Citations
H Index
I10 Index
Recent Publications
Project Funding
Researchgate
Google Scholar
Personal Information
Timeline
AdministrativeAssistant

Kakoli Bora

Associate Professor
Bangalore,KA

Summary

Passionate Machine Learning professional and data-driven analyst with the ability to apply ML and Deep Learning techniques and leverage algorithms to solve real-world problems.

Overview

22
22
years of professional experience

Work History

Associate Professor

BNM Institute of Technology
Bangalore, Karnataka
08.2024 - Current
  • Teaching B.E. undergraduate students of AIML department
  • NBA criteria-8 lead
  • Project Coordinator
  • BOS member secretary
  • Mentor
  • Other administrative responsibilities

Senior Data Scientist

Happymonk AI Labs
Bangalore
06.2021 - 11.2022
  • Developed Object Detection models using Yolov5
  • Worked on data visualization methods using Matplotlib
  • Working on object tracking and person re-identification model
  • Lead a group of junior Data Scientists for data preparation, data analysis and model building
  • Worked on Microservice Architecture
  • Exposure to Apache Kafka and NATS

Associate Professor

Dayananda Sagar University
Bangalore
12.2022 - 05.2024
  • Courses taught to Undergraduate Students of CSE(Data Science)(2023)

Assistant Professor

PES University
Bangalore
08.2006 - 04.2021
  • Artificial Intelligence, Big Data Analytics, Design and Analysis of Algorithms, Data Structures, File Structures, Operating Systems and system software, Network and Internet security, etc., courses taught to Undergraduate Students (2006-2021)
  • Advanced Data Structures, Advanced Algorithms courses taught to Post Graduate Students (2018-2019)

Lecturer

Sharda University
Agra, UP
07.2004 - 07.2006
  • Topics on Computer Graphics, Automata Theory, Software Engineering, Design and Analysis of Algorithms courses taught to Undergraduate Students (2004-2006)

Education

PhD - Machine Learning (Astroinformatics), Computer Science & Engineering

Visvesvaraya Technological University
04.2021

M. Tech. - Information Technology

Tezpur University
01.2003

B.E. - Computer Science and Engineering

Jorhat Engineering College
01.2001

Skills

  • C
  • Python, R
  • Linux, UNIX
  • PyTorch
  • OpenCV, NumPy, Pandas, Scikit-learn
  • Git
  • NATS
  • Computer Vision
  • Generative AI
  • Team Player, Good Decision maker, Result Oriented, Capable of taking responsibility

Research

Machine learning approach to understanding Astrophysical Data: The Final frontier: Novel Algorithmic study, under the guidance of Dr. Snehanshu Saha, Professor, Department of Computer Science & Information Systems, BITS Pilani KK Birla Goa Campus, Goa, India.

Citations

209

H Index

7

I10 Index

7

Recent Publications

  • A Review of AI-Driven Customer Lifetime Value, Churn Prediction and Sales Forecasting: Transforming Business Insights with Machine Learning and Advanced Analytics, Vibha S Prasad, Pragathi M Shetty, Dr. Kakoli Bora, International Journal of Advanced Research in Computer and Communication Engineering, 14, 2, 2025-02-01, 10.17148/IJARCCE.2025.14243
  • Quantifying the Classification of Exoplanets: in Search for the Right Habitability Metric, Margarita Safonova, Archana Mathur, Suryoday Basak, Kakoli Bora, Surbhi Agrawal, European Physical Journal, ST special issue: Modeling, Machine Learning and Astronomy, 2021-01-01, https://doi.org/10.1140/epjs/s11734-021-00211-z
  • CEESA Meets Machine Learning: From Earth Similarity to Habitability Classification of Exoplanets, Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal, Astronomy and Computing, 30, 2019-11-01
  • Theoretical Validation of Potential Habitability via Analytical and Boosted Tree Methods: An Optimistic Study on Recently Discovered Exoplanets, Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar, Jayant Murthy, Astronomy & Computing, 23, 141-150, 2018-01-01, https://doi.org/10.1016/j.ascom.2018.03.003
  • CD-HPF: New Habitability Score Via Data Analytic Modeling, Bora, Saha et al., Astronomy and Computing, 17, 129-143, 2016-01-01,
  • L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining, Rahul Aedula, Yashasvi Madhukumar, Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, AISC, Springer, 2018-01-01,
  • Machine Learning Approaches for Supernovae Classification, Surbhi Agrawal, Kakoli Bora, Swati Routh, Handbook of Research on Applied Cybernetics and Systems Science, 207-219, 2017-04-01, 10.4018/978-1-5225-2498-4.ch009,
  • Enhancing Data Privacy through a secure data hiding approach integrated with lossless compression, Manjula M, Kakoli Bora, Shaila SG, Skanda N Raj, Thilak R, Akansha Kanchireddy, 7th International Conference on Inventive Computation Technologies - ICICT 2024, Tribhuvan University, Nepal, 2024-04-24, IEEE, 978-8-3503-5929-9,
  • A New Activation Function for Artificial Neural Net Based Habitability Classification, Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal, ICACCI, Bangalore, 2018-09-19, IEEE, 978-1-5386-5314-2,
  • A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI), Surbhi Agrawal, Suryoday Basak, Kakoli Bora, Jayant Murthy, ICACCI, Bangalore, 2018-01-01, IEEE, 978-1-5386-5314-2,
  • Pros and Cons of Classification of Exoplanets: in Search for the Right Habitability Metric, Margarita Safonova, Snehanshu Saha, Jayant Murthy, Madhu Kashyap, C. Sivaram, Suryoday Basak, Surbhi Agrawal, Kakoli Bora, Astrobiology Newsletter, 11, 2018-01-01,
  • Note on Proxima Centauri b: Theoretical validation of potential habitability via CD-HPF, Surbhi Agrawal, Margarita Safonova, Kakoli Bora, Suryoday Basak, Snehanshu Saha, Astrobiology Newsletter, 10, 4, 2017-01-01

Project Funding

An interdisciplinary study in Machine Learning and Classification for Astronomy, SERB-DST (Govt. of India), Thirty-Six Lacs Approximately, 2018-2020, EMR/2016/005687

Researchgate

https://www.researchgate.net/profile/Kakoli-Bora-2

Google Scholar

https://scholar.google.com/citations?user=xzsBWQ0AAAAJhl

Personal Information

Title: Associate Professor

Timeline

Associate Professor

BNM Institute of Technology
08.2024 - Current

Associate Professor

Dayananda Sagar University
12.2022 - 05.2024

Senior Data Scientist

Happymonk AI Labs
06.2021 - 11.2022

Assistant Professor

PES University
08.2006 - 04.2021

Lecturer

Sharda University
07.2004 - 07.2006

PhD - Machine Learning (Astroinformatics), Computer Science & Engineering

Visvesvaraya Technological University

M. Tech. - Information Technology

Tezpur University

B.E. - Computer Science and Engineering

Jorhat Engineering College
Kakoli BoraAssociate Professor