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I am working as faculty of Indian Institute of Information Technology Kottayam. http://www.sbenedictglobal.com http://icentre.iiitkottayam.ac.in
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Indian Institute of Information Technology Kottayam
Data Scientist
June 16, 2026 – Present
iot-lecture-notes
August 4, 2022 – August 4, 2022
Guest Professorship (Associate) - TUM - April 2022 to August 2022
View Projectshared-mobility
November 4, 2021 – November 4, 2021
Shared Mobility using Blockchains and Airquality predictions
View ProjectUniversity-Recommendation-System
September 24, 2021 – April 7, 2022
University-Recommendation-System — GitHub repository
View ProjectRevAirQualityPrediction
September 10, 2017 – January 19, 2018
Revenue Oriented Air Quality Prediction Microservices for
View Projectmicromon
March 29, 2017 – March 19, 2018
micromon: A microservice oriented performance monitoring tool for Cloud Applications. Overall Description: micromon is a golang based logging service. Detailed Description: Users could submit the event information to micromon service. This information will be stored in mongodb based database named micromonDB. Later, they could collect the processing time of events. The micromon package consists of the following folders (FOLDER/Source information): micromon -addevent (addevent interface) This interface adds events to the micromon service. Usage: (from terminal) curl -d '{"AppID":"ID-1","QueryID":"q1","EventName":"RegisterStudent","TimeStamp":"23.1","AdditionalInfo":"TUMStudent"}' -i http://localhost:8172/addevent -CMD (main) This folder contains the main package of micromon service. -config (future) -doc (documentation) -driver (driver interface) This folder contains driver.go file. This is an example written in order to demonstrate how the micromon service could be accessed and the pro
View ProjectEnergyAnalyzer_v.1.6
February 2, 2016 – February 2, 2016
EnergyAnalyzer_v.1.6 — GitHub repository
View Projectenergyanalyzer
October 21, 2015 – October 27, 2023
An energy consumption analysis tool for HPC / Cloud applications
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of personal projects, some with clear descriptions and others as GitHub repository links. The diversity in technologies (Go, Python, R, Dart, C++, HTML, Swift) suggests a broad interest in different areas, which could indicate adaptability. The current role as a Data Scientist aligns well with the target role. However, the experience level is listed as 0, which contradicts the current role, and the start date for the current role is in the future (2026), which requires clarification. This discrepancy makes a definitive cultural fit assessment challenging without further information.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.