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National Institute of Technology Karnataka
Data Scientist
June 25, 2026 – Present
ionosphere-disturbance-prediction
February 12, 2021 – February 12, 2021
To develop a neural net for predicting disturbances in the Ionosphere
View ProjectMachine-learning-theory
September 25, 2020 – October 1, 2021
Theory and simple code related to machine learning
View ProjectHindi-Handwriting-Recognition
April 30, 2020 – July 16, 2020
Hindi Handwriting Recognition
View ProjectToll_Cost_Calculator
March 12, 2020 – July 27, 2020
Toll_Cost_Calculator — GitHub repository
View ProjectWaste-Classification-App
March 12, 2020 – August 18, 2020
An application which can take images of objects and can classify the object into Organic and Inorganic
View ProjectSet-Associative-Hash-fqCodel
March 4, 2020 – March 6, 2020
Validation of Set Associative Hash used in fqCodel in ns3
View Projectset-associative-hash-fq-codel-ns-3
September 2, 2019 – March 29, 2020
ns-3 implementation of FQ-CoDel using set associative hash
View ProjectCache-Replacement-Algorithm-Simulator
March 13, 2019 – April 8, 2019
Simulator similar to Champ sim which gives then hit ratio of a given algorithm with respect to a trace file
View ProjectTwitterSuicidalAnalysis
October 6, 2018 – October 14, 2019
Social Media platform such as Twitter is mined to obtain data regarding Suicidal Instincts (modules can extended to any other data mining application)
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning in data science and machine learning. However, the lack of professional experience beyond a current 'Data Scientist' role with a future start date (2026) and no listed skills for this role makes it difficult to assess cultural fit for an immediate senior role. The projects are diverse in application but lack depth in collaborative or production-level environments. The experience level is listed as 0, which contradicts the target role of 'Data Scientist' without further context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.