CAREER OBJECTIVE: Seeking a position to utilize and improve technical skills and abilities in industry that offers professional growth while being resourceful, innovative and flexible.

EDUCATION:

Course

College/School

Year

University/Board

Aggregate

BE in Electronics and Communication

MVJ College Of Engineering, Bangalore

2016-2020

Visvesvaraya Technological University (VTU)

8.31 CGPA

12th

St. Joseph’s Pre-university College

2014-2016

Karnataka PU Board

84.67%

10th

St. Germain’s High School

2013-2014

ICSE

78%

WORK EXPERIENCE/PROJECTS:

2020- Now: Senior Product Compliance Associate – Amazon

Team: Automation

Automation Tool for data Extraction AUG 2020 – DEC 2020

This tool provides user friendly interface which allows to access the required data with minimal steps. It also allows users to download data various functionalities to customize the report as per needs. In order to provide security to data, we implemented using AWSINIT. AWSINIT provides temporary security credentials for the desired users. This makes sure that the data are not misused within the organization .The entire tool was built using python, SQL, HTML and JavaScript.

Time consumed is been reduced from 10mins to 0.5-1min.

PERSONAL PROJECTS:

Title: Audio Steganalysis

Objective: In this project, we implement convolutional neural network (CNN), a machine learning algorithm, to detect audio steganography in the time domain. We design a network to suppress audio content and adaptively capture the minor modifications introduced by steganography. Detection of audio hidden information in MP3 audio is particularly scarce. Hence this project focus on implementing audio steganalysis on preprocessed MP3 audio signals which are inputs to the neural network with a mathematical model to pass on results to successive layers. A combination of convolutional layer and max pooling layer is added to perform subsampling which is used to achieve good abstraction and hence develop an effecting model for accurate steganalysis.

Title: Facial Expression Recognition with Keras

Objective: The objective is to classify each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).The data consists of 48x48 pixel grayscale images of faces. Once we have trained, saved, and exported the CNN, you will directly serve the trained model to recognize image data.

Title: COVID-19 Data Analysis Using Python

Objective: In this project, I learnt how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. This project mainly focuses on cumulating the confirmed cases data, per day, in each Country and merging another dataset consist of various life factors, scored by the people living in each country around the globe. And find the relationship between the spread of the virus in a country and how happy people are, living in that country. Dataset was published by John Hopkins University.

Title: Heart Beat Based Home Power Saving System.

Objective: The project comes under the sector of save power. We implement an autonomous system in the room which can be operated through sensor, which saves an immense amount of energy source, which will be a smart solution and use for our future generation.

SKILLS:

Programming Languages: Python, C programming, C++ programming, SQL, and HTML (basics).

Software: Flask, AWS Redshift Database.

Domain: Data Analysis, Data Science Using Python (Anaconda), Machine learning.

Visualization Tools: Power BI, Tableau, Seaborn (python library), Excel ( basics)

INTERNSHIP:

Hindustan Aeronautics Limited Aerospace in Mission and Combat Department.

We learnt principle mode of communication between aircraft .We also learnt various encryption algorithm that was implement in early 2000’s. We have visited various rig like cockpit rig, Air Display system, etc. We also had the privilege to visit various hanger like Hawk, Jaguar, and Light combat helicopter.

Expert hub – Machine learning.

In this internship, we got a clear understanding of machine learning problem statement .We understood various machine learning algorithm and how to solve a problem using Machine learning. We also implemented Facial Expression Recognition with Keras.

Business Analytics – iNeuron

In this course, we learnt how business decisions are made in specific area like marketing sector, finances sectors, operation etc. We learnt building dashboards for analyzing historical data in order to gain new insight and improve strategic decision making. We also have hands on experience in SQL, Power BI and Tableau.

CERTIFICATIONS:

Completion of IIT Bombay Spoken Tutorial on C, C++, and Python.

Name : Python Programming For Data Science

Issuing Organization: Data Science Academy

Name : Python - Introduction to Data Science and Machine Learning

Issuing Organization: Udemy

Credential URL: http://ude.my/UC-dcab14ef-f01f-4a04-bce6-47b84dded850

Name : Fundamental Data Analysis and Visualization Tools in python

Issuing Organization: Udemy

Credential URL: http://ude.my/UC-ebe1ee04-ba41-40bc-894a-271d31c1b24a

Name :SQL Masterclass : SQL for Data Analytics

Issuing Organization: Udemy

Credential URL: http://ude.my/UC-5df9f7f5-e011-4cae-a879-4295417842e1

SOFT SKILLS:

Problem Solving

Project Management

Quick learner

HOBBIES: Robotics, Pencil Sketching.

PERSONAL DETAILS:

Nationality: Indian

Date of Birth: 10th AUGUST 1998

Sex: MALE

Linguistic Proficiency: English, Tamil, Kannada, Hindi.

DECLARATION:

I hereby declare that the information furnished above is true to the best of my knowledge.

(Ronaldo F)

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