Into the burst of Machine Learning and AI.
AI is analyzing your overall score…
Identifying your key strengths…
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.