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.

	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]
	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.
	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.
	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.
	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.
	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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