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Machine Learning Supply Chain

Location:
Kannur, Kerala, India
Posted:
November 23, 2023

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Resume:

AKSHYA REGHUNATH

Phone No. : 956-***-**** Email id: ad1d1l@r.postjobfree.com

CAREER OBJECTIVE:

To seek a position in an organization where I can enhance my skills and work forward in the betterment and upliftment of the organization.

PROFESSIONAL SUMMARY:

2 year experience in total with 18 months in project development and 6 months as intern.

Worked on ML development, data collection annotation was the task performed.

Have profound knowledge about Python and having hands-on experience on Anaconda 3.2,spyder.

My role in the team was dataset creation and automation, machine learning model creation and training with the help of Convolutional Neural Network Algorithm using Keras and Tensorflow. Machine learning models were trained and developed for the Product Identification and Text Recognition purpose to overcome counterfeit.

An effective communicator with excellent relationship building, presentation & interpersonal skills.

CAREER CONTOUR:

29th March 2021 till date with Amazon Private Limited Currently working with the team for dataset preparation and machine learning model creation and training. The work also includes dataset collection, annotation and training with Convolutional Neural Network models. 24th June 2020 till 24th August 2020 with Nebuleon EdgeWorks Pvt.Ltd, As Intern Worked on project titled cloud kitchen safety classifier development. This project was aimed at computer vision ML development for the OCKitchen Product. As part of the project, task given was dataset collection, annotation and supported ML development.

5th September 2018 till 16th August 2019 with Ennoventure Pvt.Ltd, Bengaluru, As Junior Software Developer

A software based company which has got a patented revolutionary authentication technology which is the most secure and advanced covert solution to detect counterfeits within your supply chain. It’s one of the first device agnostic anti- counterfeit solution which uses the most reliable and secure parameters for authenticating the product. The following were tasks performed:

● Machine Learning Dataset Creation and automation

● Machine Learning Model creation and training

● Python programming for Data Science.

● Documentation and Reports

TECHNICAL SKILLS

Python, C, C++

CERTIFICATIONS

Certification in Python Developer Course and Machine learning Course by Sololearn. ACADEMIC QUALIFICATIONS:

COURSE BRANCH / SUBJECTS UNIVERSITY

/ BOARD

NAME OF

INSTITUTION

YEAR

OF

PASSING

PERCENTAGE

M. Tech Communication

Engineering and

Signal Processing

Amrita

Vishwa

Vidyapeetham

Amrita

School of

Engineering,

Bangalore

2019 72

B.Tech Electronics and

Communication

Engineering

CUSAT College of

Engineering,

Thalassery

2017 73

CBSE-XIIth

English,Physics,Chemistry,

Computer,Maths

AISSCE GULF

INDIAN

SCHOOL

KUWAIT

2013 72

CBSE-Xth

English,Maths,Social

Science,Science,Hindi

CBSE GULF

INDIAN

SCHOOL

KUWAIT

2011 82

INTERNSHIPS:

1. Internship for 5 month in Ennoventure Technologies. 2. Internship for 1 month in Nebuleon EdgeWorks Pvt.Ltd. 3. Internship in ALL India Radio Kannur Kerala

MAIN PROJECT:

1. Deep learning Based Customized Model for Feature Extraction. In this work a customized model is developed for feature extraction for medical packages. Nowadays it is difficult to distinguish original medicine from counterfeit one. The proposed model based on CNN can be useful in identifying the original medicine.

2. Smart Car Parking Reservation System using SMS. Most of the car parking systems is managed manually and inefficiently. In urban areas number of vehicles are more compared to the parking slot thus time is wasted in searching for parking locations. Smart car parking system is a proposed method that users can reserve the parking space using SMS. 3. Development of APP for IoT based Light Monitoring System. In all most all Indian Museums the quality and life of artwork and artifacts are affected by environment parameters like temperature, humidity and light, curators monitor these environment parameter manually.The project aims in controlling and monitoring these environment parameters. First phase of the project was development of APP to understand the intensity of light, temperature and humidity parameters that affects the artifacts and artwork.

MINI PROJECT:

1. E-Uniform For Soldiers Working At Extreme Weather Condition. An E-Uniform is designed which gives better protection to the soldiers who are working in extreme weather conditions. This paper is gives two modes summer mode and winter mode .By selecting the mode of operation the relays drive body heater/cooler. The heater / cooler in turn will help us to provide chilling or warming effect inside the uniform which helps the soldier to bear to any kind of external environment and he can work efficiently without heat stress or cold stress.

PERSONAL DETAILS:

Date of Birth : 03/08/1995

Gender : Female

Nationality : Indian

Languages Known : English, Malayalam, Hindi

DECLARATION:

I hereby declare that the above information is correct and true to the best of my knowledge and belief. Date: Akshya Reghunath



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