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Into the burst of Machine Learning and AI.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
stock-market-application
August 27, 2020 – September 14, 2020
stock-market-application — GitHub repository
View Projectfsw-signal-classification
November 19, 2019 – November 19, 2019
2 Case Studies and a method (using LSTMs) for separating out the Friction Stir Welding batch Signals.
View Projectlearning_sequence_encoders
April 3, 2019 – January 11, 2021
Learning Sequence Encoders for Temporal Knowledge Graph Completion (Attempted code)
View Projectretinanet_pytorch
December 27, 2018 – March 28, 2019
Retinanet implemented in Pytorch implemented on GPU.
View ProjectKGC
November 17, 2018 – September 8, 2019
ConMask model described in paper Open-world Knowledge Graph Completion. Main Repo: https://github.com/bxshi/ConMask
View ProjectML_Assignments
September 22, 2018 – April 18, 2019
IIT Kharagpur ML Assignments by Prof. Pabitra Mitra
View Projectsanskrit
September 15, 2018 – November 14, 2019
Word Segmentation for Sanskrit (Unsandhied output from Sandhied sentences)
View Projectcamera_caliberation_cv
March 29, 2018 – March 29, 2018
Determining Projection Matrices using i) Perspective Image and ii) Affine Imag
View Projectimage_transformation_cv
February 11, 2018 – February 11, 2018
Transformation GUI based on tkinter with the help of OpenCV and PIL.
View Projectimage_processing_cv
February 4, 2018 – February 4, 2018
Advanced Digital Image Processing and Computer Vision
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research-oriented interest in Machine Learning, Computer Vision, and Natural Language Processing, which aligns with the analytical nature of a Data Scientist role. However, the projects are predominantly personal/academic, and there is no information on collaborative work or professional experience, making a comprehensive cultural fit assessment difficult. The diversity of projects indicates a willingness to explore different areas within AI/ML.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.