Sukanya Patra

I am a computer science PhD student at the University of Mons


Doctoral Researcher

University of Mons, Belgium

Conducting research on Anomaly Detection in Image Sequences under Prof Souhaib ben Taieb

Nov 2021 - Present

Graduate Intern

ASML, Eindhoven, The Netherlands

Key responsibilities:
• Building a context-aware machine learning framework that can adapt to concept drift
• Finding hidden patterns and interactions among more than 50 features
• Dealing with the unbalanced dataset

April 2021 - September 2021

Teaching Assistant

Eindhoven University of Technology (TU/e), The Netherlands

February 2021 - April 2021

Data Science Intern

Mentech Innovations, Eindhoven, The Netherlands

Key responsibilities:
• Performed an extensive literature review for emotion detection using facial expression
• Implemented a hybrid CNN-LSTM model
• Achieved an accuracy of 60% on CREMA-D and 54% on RAVDESS datasets
• Tested the model in real-time using a live video feed via webcam

August 2020 - November 2020

Associate Software Engineer

SOAIS, Kolkata, India

Key responsibilities:
• Enhancement, support, and maintenance activity of the delivered processes (Personal, and Job Data, Recruitment, Performance Management etc.) in the stringent timeline
• Responsible for 2 major clients having a total of 10,000+ employees
• Worked on XML Publisher, approval workflow engine (AWE) security-related activity, enhancements, and testing
• Modify several SQR reports based on client requirements

July 2018 - July 2019


International Management Institute, Kolkata, India

Key responsibilities:
• The following algorithms were used - User-based collaborative filtering (UBCF), Item-based collaborative filtering (IBCF), and Singular Vector Decomposition (SVD)
• Experiments were performed with the MovieLens dataset
• Multiple distance measures were employed: Cosine, Pearson correlation, and Jaccard

May 2017 - August 2017


Eindhoven University of Technology (TU/e), The Netherlands

Master of Science (MSc)
Computer Science - Data Science in Engineering
September 2019 - September 2021

Government College of Engineering & Leather Technology, India

Bachelor of Technology (BTech)
Information Technology

GPA: 8.76

August 2014 - July 2018


Programming Languages & Tools
  • Data Science Concepts Big Data, Data Mining, Data Analysis, Data Visualization, Machine Learning, Deep Learning
  • Technologies Related to Data Tableau, MatplotLib, Scikit-Learn, TensorFlow, Keras, PySpark
  • Programming Languages Python, R, SAS, Java, C, C++, SQL, PeopleCode
  • Scripting Language PHP, HTML, CSS
  • Operating Systems Android, Windows, and Linux
  • ERP PeopleSoft HRMS/ FSCM 9.2, PeopleTools 8.54
  • Databases SQL Server 12.0, Oracle 11g
  • Office Suite Microsoft Office Suite, Google Suite


Peer-reviewed Conference Attended
  • A Comparative Evaluation of Algorithms in Movie Recommender Systems with B. Ganguly, MARCON 2017 (International Marketing Conference) at International Management Institute (IMI), Kolkata, Dec 18-19, 2017.
  • Machine Learning Based Cyber Risk Assessment and Mitigation Framework for Phishing Attacks (MLP-CRAM): A Design Science Approach with A. Mukhopadhyay and B. Biswas, 13th Design Science Research in Information Systems and Technology (DESRIST - 2018), IIT Madras, June 3 - 6 ,2018.
Chapter in Edited Book
  • Forecasting Problems in Cyber Security: Applying Econometric Techniques to Measure IT Risk, with B. Biswas, In Handbook of Computer and Cyber Security: Principles, Algorithm, Applications and Perspectives, CRC Press, Brij B. Gupta, Dharma P. Agrawal and Haoxiang Wang (eds.).
Peer-reviewed Journal Articles
  • Improvising Singular Value Decomposition by KNN for Use in Movie Recommender Systems with B. Ganguly, Journal of Operations and Strategic Planning, 2(1), pp. 22-34. Academic Projects