Name: Aayush Kamlakant Chaube
Country: United States of America
GRE Score: 312/340 (Quantitative Reasoning: 164/170 & Verbal Reasoning: 148/170)
TOEFL Score: 93/120 (Reading: 22/30, Listening: 22/30, Speaking: 26/30 & Writing: 23/30)
Bachelor's Degree: Bachelor of Engineering (Electronic Branch)
University: University of Mumbai
College Name: Fr. Conceicao Rodrigues College of Engineering
Course Duration: 4 years
Grading System: GPI (10)
Admission month and year: August 2017
Graduation month and year: June 2021
Graduation Score: 7.02 CGPI (out of 10)
Work Experience: 2 Years 1 Month
Company Name: Indigital Technologies LLP
Designation: Associate Software Engineer

Job Description:
Responsible for Android, iOS & Windows app development, optimization and research to meet business requirements, using Flutter, Java, Python, Postman, Adobe XD, and GitLab on 10+ projects. Programmed Python scripts for automation, developed APIs with the help of Flask, worked on OpenCV and analyzed data on diverse projects using Python and SQL.

About under-graduate (Bachelor of Engineering - Electronics Branch) education:
When I started with electronics at Fr. Conceicao Rodrigues College of Engineering, I became so attached to it that instead of just learning the textbooks, I developed a habit of project based learning. I maintained a common trait of understanding the course, various concepts included throughout the course as well, and then before appearing for exams, I used to develop a mini-project that underlines all the concepts of the course. Mini-projects topics were, Infrared Electronic Shooting Game, Pizza Maker (Graphical User Interface with Java Swings - A Java framework), Door Knock Alarm, Designed a 32-bit Arithmetic Logic Unit (used in Intel microprocessor), IR Remote Jammer, Quiz Timer using 8085 microprocessor, Smart Traffic Light Controller, Air Flow Detector, Library Database System (Using SQL), FreeRTOS based Interrupt Handling, ECG Signal Processing - R peak detection (Using Python), Handwritten Digit Classifier (Using Machine Learning) and Convolution & Pooling of Grayscale Image. I also worked on a major project as a part of the final year project, "CovidTrace and Immunization Calculator" - a mobile app to track COVID-19 patients, log residency immunity, remind vaccination drives, and analyze data. I also presented my thoughts on topics like Satellite Communication, Big Data Analysis & Science and Cold Chain Management (using IoT). I invested my time on a case study, "Beta-Multiplier Reference Circuit", as well. These mini-projects, presentations and case study, always reflected my keen interest in the core division of electronics along with a similar grip on computer sectors such as GUI development, Back-end development, along with cutting edge technologies like Big Data, Data Analysis, Data Science, Digital Signal Processing, Digital Image Processing, Machine Learning and Internet of Things. These projects were developed with an objective to ease the life of humans with the help of above mentioned technologies.

Vocational Training:
Certified by Prasar Bharti (India's Public Service Broadcaster) and Doordarshan Kendra for vocational training with Doordarshan Kendra from December 24, 2018 to December 29, 2018. I was trained and given the exposure to operation and maintenance of various sections in transmissions, production and post production of television programmes which includes Studio, Studio Lighting, Earth Station, High Power Transmitters and Field Production Units.

Under-graduate (Bachelor of Engineering - Electronics Branch) course(s) related to (or common with) Computer Science:
• Structured Programming Approach (C - Programming Language)
• Applied Mathematics - III
• Electronic Devices & Circuits I
• Digital Circuit Design
• Object Oriented Programming Methodology Laboratories (Java - Programming Language)
• Applied Mathematics - IV
• Electronic Devices & Circuits II
• Microprocessor & Applications
• Digital System Design
• Principles of communication Engineering
• Design with Linear Integrated Circuits
• Digital Communication
• Embedded Systems & Real Time Operating System
• Data Base & Management System (SQL - Structured Query Language)
• Computer Communication & Networks
• Digital Signal Processing
• Neural Network & Fuzzy Logic (Artificial Intelligence & Machine Learning)
• Internet of Things (IoT - Cutting edge technology)
• Digital Image Processing

Personal projects related to Computer Science:
• Mi-Card (Using Dart - Flutter) - Year 2021:
My developers portfolio using static content for Android.
• CovidTrace and Immunization Calculator (Using Dart - Flutter) - Year 2020-21 (BE Project):
Mobile Application to trace the COVID-19 Patients' contact using Google’s API, log the residency immunity level, remind upcoming events through push notifications & performing data analysis.
• American Sign Language Classifier (Using Python - TensorFlow) - Year 2021:
A machine learning model to assist humans communicate with special children with American Sign Language on desktop screen. Just perform a hand gesture, and the screen will prompt the alphabets, based upon prediction
• Convolution & Pooling of Grayscale Image (Using Python) - Year 2021:
The project implemented Convolution and Pooling without using built-in functions or frameworks. Convolution involved applying a custom filter to degrade image quality while preserving features. The results demonstrated the impact of different filters. The project highlighted applications in Deep Learning, Image Processing, and healthcare, with potential advancements in automation and augmented reality.
• Handwritten Digit Classifier (Using Python - TensorFlow) - Year 2020:
The project involves the development of a Convolutional Neural Network (CNN) machine learning model using Python, TensorFlow, and Matplotlib. The objective is to classify handwritten digits with a training accuracy of 99% or above, covering data loading, reshaping, model definition, hyperparameter initialization, training with a custom callback to stop at 99% accuracy, testing, and evaluation. The conclusion highlights achieving a recognition rate of 99.89% with thorough hyperparameter assessment. The project emphasizes the importance of fine-tuning CNN architecture parameters for optimal performance in Handwritten Digit Recognition.
• ECG Signal Processing - R peak detection (Using Python) - Year 2020:
The project aims to detect R-peaks in electrocardiogram (ECG) signals, overcoming challenges such as irregular distances between peaks and the presence of low-frequency components, using Python to provide insights into digital signal processing techniques for ECG analysis such as detecting R-peaks and highlights the potential application in calculating heart rate irregularities.
• Library Database System (Using SQL) - Year 2019:
The project aims to computerize library management, streamlining tasks for librarians and reducing manual efforts. The system includes an Entity Relationship Diagram with tables for departments, students, authors, books, and categories along with normalization steps to ensure data integrity. Notable queries facilitate tracking issue and return dates, author names, and book details. The application has practical applications in SQL database management, showcasing data manipulation and definition language, along with future scope, suggesting possibilities such as server-based and Android applications for enhanced functionality.
• Google Play Store App Case Study (Data Analysis and Machine Learning using Python) - Year 2019:
Research analysis, on user download behavior on the apps across all categories on the Google Play Store, to take crucial decisions on future launches of apps on Play Store based on the analysis.
• Superstore - Year 2019:
A time series analysis and forecasting (machine learning on dynamic data), using ARIMA and Prophet models, on a superstore dataset
• Object Detection and Recognition (Using Python - Yolo and OpenCV) - Year 2019:
An object detection machine learning model using Yolo & OpenCV framework to recognize objects in images/videos.
• House Price Prediction Model (Machine Learning) - Year 2019:
A prediction model working on a dataset comprising the house location, design, square feet etc. and making a prediction of 85% or more accuracy on the price of the house based on other variables.
• Titanic Data Analysis (Using Python - Logistic Regression) - Year 2019:
Analyzing Titanic case study using logistics regression - a predictive machine learning model. The dataset consists of various information regarding the passenger details (Ticket Number, Sex, Name, Parch, Emarch, Age, Class, etc.). Using appropriate columns of the data, proper analysis is performed.
• Website Rating (Using Python - Linear Regression) - Year 2019:
A machine learning model that could learn ratings of websites, provided by the user and predict future values. The model learns the website rating pattern using linear regression. This model is useful to give insights to the website developers regarding the ratings of the websites, even before they create it. This project also results in various data analysis by learning the statistical parameters (OLS Regression Results, Error, Efficiency, Mean, etc.) of the dataset.
• Election Data Analysis (Using Python) - Year 2019:
A Data analysis model of the Maharashtra State election. Using the election results data of different national and regional parties of India, for the year 2009 and year 2014, an analytical model is created which can analyze the data (election result of every parties in both the years - 2009 & 2014) and could help a Data Scientist (or a Machine Learning Scientist/Specialist) to predict the results of upcoming election(s). This model is also helpful to the political parties and their leaders in order to strategize their future elections.
• Edumate - A student dashboard (Using Python - Tkinter) - Year 2019:
Student Dashboard that evaluates input data and generates CGPI and Percentage for the student. This student management software also comprises registration and credentials verification.
• Tic-Tac-Toe (Using Python) - Year 2019:
This is my first project on Python. I made this old game called "Tic-Tac-Toe ('X' and '0')" using Python. Now there are two files with the extension ".py". First one contains the code for Single Player version i.e. Human versus Computer. And second one contains code for Two Player version i.e. Human versus Human. Since, I didn't use any OS Automation Module(s). Hence it won't make any smart moves in the Single Player version. I didn't work on GUI here in this project. So output will be displayed on Terminal.
• Pizza maker GUI (Using Java Swing - OOPM) - Year 2018:
Built a software UI for food and meals-based inventory. The software accepts the pizza order from the customer, as per their desire and post confirmation of the order, order summary is displayed

Professional projects (Projects worked at Indigital Technologies LLP) related to Computer Science:
• Kyoiku (Using Dart - Flutter) Year 2022-23:
Mobile app to assist Patients with prescribed medication in the form of a server-stitched video.
• Data Scrapping (Using Selenium) - Year 2023:
A selenium automation with the help of a python script to scrap users’ information from LinkedIn.
• CRM (Using Java - Android) - Year 2023:
Mobile app allows sales team to perform activities and track them, allowing admin to monitor.
• NFCClient (Using Dart - Flutter) - Year 2022-23:
Mobile app to save .VCF file to phone book and load website when NFC card tapped on phone.
• Indigital Store (Using Java - Android) - Year 2022:
A clone of Google Play Store with nested recycler views, lazy loading & local database features
• Drawing Board (Using Java - Android) - Year 2021-22:
Android mobile application for drawing on plain canvas and on images with all paint.
• Detail MD (Using Java - Android) - Year 2021-22:
Mobile app helps patients understand medical diagnosis report.
• Kribado (Using Java - Android) - Year 2021-23:
Mobile app developed to use with POS machines to screen patients against comorbidities at OPDs.
• Medico Legal (Using Dart - Flutter) - Year 2021-23:
Mobile app, providing legal guidance and chat services between Doctors and Lawyers
• S3Client (Using Dart - Flutter) - Year 2021:
A Windows Desktop Application for fetching files from S3 assigned to a specific user.

Extra-curricular activities during undergraduate:
• Planned, Managed & Executed 2-day Firebase Workshop Seminar hosting 200 attendees, Academic Year - 2020
• Quest Leader-Trainer for Machine Learning Track in Google Cloud Platform Crash Course, Academic Year - 2019
• Served as a Core Team Member (Cloud Host) in Google Developer Student Clubs, Fr. Conceicao Rodrigues College of Engineering, Academic Year - 2019
• Awarded a certification of appreciation, by Google Developer Student Clubs, for successfully serving as a Developer Student Club Core Team Member at Fr. Conceicao Rodrigues College of Engineering from 2019 - 2020
• Volunteered as Speaker Assistant to Sponsors and Cloud/ML Speakers, Venue direction & Help Assistant and Food Counter Support for Devfest Mumbai 2019, organized by Google Developer Groups (Mumbai Application Developer) and Google Developer Groups (Cloud Mumbai) with a footfall of 1500 attendees

Co-curricular activities during under-graduate (related to Computer Science):
• Certified for the course of Introduction to SQL, by Kaggle, on September 02, 2021
• Certified for graduating from Introduction to Flutter Development Using Dart, by The App Brewery, on July 31, 2021
• Certified for the course of Python, by Kaggle, on June 18, 2021
• Earned a badge on Credly (by Pearson), for Python Essentials (Foundational), issued by edX, and authorized by IBM, on May 30, 2021
• Earned a verified certificate for successful completion and receiving a passing grade in PY0101EN: Python Basics for Data Science, a course of study offered by IBM, an online learning initiative of IBM on edX platform, on May 30, 2021
• Awarded with a certificate for my accomplishment in Hash Code 2019 & 2021 (A team based programming competition organized by Google), Academic Year - 2019 & 2021
• Earned a badge award on completion of Intro to ML: Language Processing (a Google Cloud Platform - GCP - skills Quest), by Google Cloud on Qwiklabs platform, on June 09, 2020 (EDT)
• Earned a skill badge award on completion of Create and Manage Cloud Resource - Infrastructure Modernization - (a Google Cloud Platform - GCP - skills Quest), by Google Cloud on Qwiklabs platform, on June 09, 2020 (EDT)
• Earned a badge award on completion of Intro to ML: Image Processing (a Google Cloud Platform - GCP - skills Quest), by Google Cloud on Qwiklabs platform, on June 03, 2020 (EDT)
• Earned a badge award on completion of Google Cloud Essentials (a Google Cloud Platform - GCP - skills Quest), by Google Cloud on Qwiklabs platform, on May 24, 2020 (EDT)
• Recognized with a certificate for my participation in the 9 days (April 11, 2020 to April 19, 2020) HackOn Hackathon, a pan India Online Hackathon, organized by HackOn, powered by GitHub, in association with Google, IBM, Elastic, Devfolio and Microsoft
• Received a letter of recognition, from the Google Cloud, for attending the Google Cloud OnBoard: Application Development workshop webinar event, in India, on November 28, 2019
• Received a letter of recognition from the Google Cloud team for attending the Google Cloud OnBoard: Big Data & Machine Learning workshop webinar event, in India, on September 05, 2019
• Certified for successfully completing hands-on practical training program in PYTHON & MACHINE LEARNING, inclusive of four projects followed by a thirty day internship, held from January 2019 to July 2019, Academic Year - 2019
• Certified for participating in Hackathon held during CResCEndo on March 15, 2019 and March 16, 2019, at Fr. Conceicao Rodrigues College of Engineering, powered by Quantiphi
• Certified for attending and actively taking part in the Web Development Workshop, by Computer Society of India's chapter at Fr. Conceicao Rodrigues College of Engineering (CSI CRCE), held on February 24, 2018

Co-curricular activities during undergraduate (related to electronics):
• Certified for participating in the Idea Competition, representing the idea of Emergency Healthcare Unit, held at Fr. Conceicao Rodrigues College of Engineering, organized by Institution's Innovation Cell (Initiative by Ministry of Human Resources Development - MHRD) and Entrepreneurship Cell of Fr. Conceicao Rodrigues College of Engineering, on January 28, 2021
• Certified for participating and successfully completing online quiz competition on "Fundamentals in Electronics & Telecommunication", by Mahatma Education Society's Pillai HOC College of Engineering & Technology, Rasayani, organized by Department of Electronics & Telecommunication Engineering, on May 09, 2020
• Certified for Participating in Department of Science and Technology (DST) & Texas Instruments India Innovation Challenge Design Contest 2019, representing project Smart Battery Management System, powered by All India Council for Technical Education (AICTE) and anchored by NSRCEL at Indian Institute of Management - Bangalore (IIMB), Academic Year - 2019
• Certified for Participating in Department of Science and Technology (DST) & Texas Instruments India Innovation Challenge Design Contest 2019, representing project Emergency Healthcare Unit, powered by All India Council for Technical Education (AICTE) and anchored by NSRCEL at Indian Institute of Management - Bangalore (IIMB), Academic Year - 2019
• Awarded with a certificate for successful participation in Regional Mentoring Session for Proof of Concept (PoC) and securing position amongst top 50 teams in Mumbai, organized as a part of Institution's Innovation Cell, MHRD's (Ministry of Human Resource Development's) Innovation Cell (MIC), powered by MHRD's Institution's Innovation Cell and All India Council for Technical Education (AICTE), held at Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, Maharashtra, on July 25, 2019
• Certified for successfully completing the task by actively participating in the 3D Printing Workshop conducted by Robocon CRCE, on September 01, 2018
• Certified for my exceptional performance that led to successful completion of PCB and Soldering hands-on workshop, conducted on August 18, 2018 and August 20, 2018, organized by IEEE's chapter at Fr. Conceicao Rodrigues College of Engineering (IEEE-CRCE)
• Certified for participating in the Soldering Workshop organized by Robocon CRCE, on October 10, 2017 and October 12, 2017

Co-curricular activities during undergraduate (related to Management):
• Certified for presenting a paper titles Logistic Issues at the One Day National Seminar on the theme 'Startup Policy of India: Current Scenario in various sectors with special focus on IT sector' organised by the Departments of Information Technology & Mathematics, in association with Goa Technology Association (GTA) at Fr. Agnel College of Arts & Commerce (Pillar Theological College), Pillar-Goa, on August 24, 2019

Co-curricular activities during undergraduate (miscellaneous):
• Appreciated with a certificate for successfully completing five days online Student Development Program "Grooming for Placements by Industry Experts", by Fr. Conceicao Rodrigues College of Engineering, organized by the Computer Engineering department of Fr. Conceicao Rodrigues College of Engineering, from May 24, 2020 to May 28, 2020

Co-curricular activities before undergraduate:
• Awarded and certified for securing 4th place in Mumbai in the Annual Inter-School Science Quiz Contest, 2014-15, Organized by Nehru Science Centre, Mumbai, in collaboration with Rotary Club of Bombay Pier & Rotary Club of Bombay Queen City, associated with Government of India, Ministry of Culture (Government of India), National Council of Science Museums (India) and Rotary International, on February 11, 2015
• Certified for participating in the 17th Science Olympiad Foundation (SOF) National Science Olympiad, held during November 2014
• Certified for participating in the Science Olympiad Foundation (SOF) - 7th International Mathematics Olympiad, held in December 2013
• Certified for participating in the Science Olympiad Foundation (SOF) - 16th National Science Olympiad, held in November 2013
• Certified for participating in level 1 and got meritorious position in Talent Search Institute's (TSI) Maths Olympiad held on August 11, 2008

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