Neethu Mary
ML EngineerAssistant Professor
St. Joseph’s College, Moolamattom
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Assistant Professor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Vimal Jyothi Engineering College (VJEC), Chemperi
Master of Technology - MTech, Control and Instrumentation
January 1, 2014 – January 1, 2016
Vimal Jyothi Engineering College Chemperi, Kannur University
B.Tech, Electronics and Instrumentation
January 1, 2008 – January 1, 2012
St. Joseph's HSS Kallody, Wayanad
General Science
January 1, 2006 – January 1, 2008
St. Joseph’s College, Moolamattom
Assistant Professor
June 1, 2024 – Present
INFOLKS
Junior Executive
June 1, 2021 – October 1, 2023
Kerala, India
CSIR-CEERI, Taramani Campus
Project Assistant III
December 1, 2018 – June 1, 2019
Indian Institute of Science Education and Research, Thiruvananthapuram
JRF
September 1, 2017 – June 1, 2021
India
DIGESTOR BATCH PROCESS AUTOMATION USING DCS.
January 1, 2012 – Present
This project aims at automating the most crucial and critical process in the manufacturing of Titanium dioxide- the digestor. In order to overcome the disadvantages of the present system we automate the digestor section with DCS.
PUBLIC GARDEN AUTOMATION.
September 1, 2011 – Present
In this project, introduce an automatic electronic system for the Automation for public gardens where lights, water pump and gate of the garden are controlled using electronic means. Here a microcontroller captures all data from the sensors like soil humidity, light and PIR to understand the situations and control.
Cultural Fit Analysis
The candidate's background includes academic research (JRF, Project Assistant III) and teaching (Assistant Professor), alongside some industry experience (Junior Executive). This diverse background suggests adaptability and a potential fit for roles that value both theoretical understanding and practical application. The projects, while basic, show an interest in automation and control, which aligns with problem-solving aspects often found in ML engineering. However, the lack of detailed project descriptions and specific ML technologies makes a deep cultural fit assessment challenging.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or detailed operational fit. The candidate's experience as an Assistant Professor and Junior Executive suggests some level of communication and organizational skills, but specific examples are lacking.