Machine Learning Data Collection

AKSHYA REGHUNATH

Phone No. : +91-956******* Email id: *************@*****.***

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:

4 years experience 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.

Analyzing the data sets using MS-Excel and visualizing the datasets using Tableau.

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

CAREER CONTOUR:

29th March 2021 till 18th February 2024 with Amazon Private Limited Worked 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++,

MS- Excel, Power BI, Tableau, SQL

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

TRAININGS:

1. Machine Learning With Python Tableau

Jul 2024 - Aug 2024

Internshala Trainings, Virtual

2. SQL

Jul 2024 - Aug 2024

Internshala Trainings, Virtual

3. EXCEL

Jul 2024 - Aug 2024

Internshala Trainings, Virtual

PROJECTS:

Linear regression model using Python

Aug 2024

Used Python to build a linear regression model for a company to determine CTC/ Salary for new hires based on their past employment data.

Auction strategy for a new IPL franchise

Jun 2024

Used SQL to develop an auction strategy for a new IPL franchise by analyzing past IPL data to create a strong and balanced squad.

Tableau dashboard

Jul 2024

Created a visually interactive and informative dashboard that will help in understanding the sales figures better. The dashboard is easy to navigate and understand, with charts, graphs, and tables that are visually appealing and easy to interpret. Analyze fitness data using Excel

May 2024

Analyzed Fitbit fitness tracker data to deliver marketing and business solutions to WeFit and its subsidiaries 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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