Saksham Bassi
I am pursuing MS in Computer Science at Courant Institute of Mathematical Sciences - New York University. My focus of studies is primarily on Computer Vision, Deep Learning and Algorithms. Previously, I was working as a Data Scientist II at Glance, InMobi where I worked in the Personalisation team to enhance exploration of social media feed using Representation Learning models. Prior to this, I spent time at HSBC as a Software Engineer, where I worked on building monitoring architecture and improved backend of financial applications.
During my undergrad, I was a Research Intern at Tata Institute of Fundamental Research, Bangalore where I worked on time-series analysis and modeling, and computer vision with Prof. A. S. Vasudeva Murthy. I have also had the fortunate opportunity to work as a Research Intern at The Inter-University Centre for Astronomy and Astrophysics where I worked on building Deep Learning models for classification of variable stars.
I completed my bachelors at the Pune Institute of Computer Technology, University of Pune in Information Technology, where I was advised by Dr. Shweta Dharmadhikari.
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Research
My research interests lie in computer vision, time-series analysis and machine learning. I had a great time applying machine learning models in interdisciplinary fields like astronomy, medical imaging, finance, industrial IoT.
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Styfie: Multi-Style Transferred Selfies
Saksham Bassi*,
Sarvesh Relekar*, Rishil Kirtikar*
Project report, 2021  
Combining Image Segmentation and Neural Style Transfer to generate multi-styled selfie images. [Article]
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A learning algorithm for time-series based on statistical features
Saksham Bassi*, Atharva Gomekar*,
A. S. Vasudeva Murthy
International Journal of Advances in Engineering Sciences and Applied Mathematics  [Link]
Machine learning technique for time series which combines statistical features and neural networks to model, factorize and reconstruct data.
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Change in structural patterns in the time series of Onion prices in India
Saksham Bassi*, Atharva Gomekar*,
A. S. Vasudeva Murthy
In submission
Analyzing the structural patterns in time-series of Onion retail prices using various mathematical techniques to conclude about the patterns and periodicity.
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Learning to classify Variable Stars Light Curves using Long Short Term Memory Network
Saksham Bassi*, Kaushal Sharma*, Atharva Gomekar
In submission
One dimensional hybrid model of convolutional network and LSTM to classify variable star classes.
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A CNN approach to precision agriculture: An exploratory study
Atharva Gomekar*,
Saksham Bassi*, A. S. Vasudeva Murthy
Project report, 2019  
Identifying diseases in farm fields using computer vision techniques on drone images. Transfer learning of pre-trained Convolutional Neural Networks and unsupervised segmentation as a pre-processing for training neural networks from scratch.
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Deep Learning Diagnosis of pigmented Skin Lesions
Saksham Bassi*, Atharva Gomekar*
ICCCNT, 2019  [Link]
Convolutional Neural Networks to predict the kind of skin cancer using transfer learning and parallel networks
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