Automated Heart Monitoring System (May 2022)
To Create an affordable heart monitoring system using MAX30100 pulse oxymeter and AD8232 ECG Sensor. Can find the BPM, SpO2 levels and ECG of an individual at home. Uses RaspberryPi 3b+ for controlling the sensors and displaying the results on the phone or web dashboard using the Blynk IoT App.
Automatic door-unlock using Facial Recognition (October 2021)
Creating a system which can identify the user using Deep learning techniques and open the door on verification. The system had to be light to be able to operate on an Raspberry pi but accurate. The system also had provisions for RFID unlock and Google Assistant Unlock. The Unlocking was done with the help of a servo motor
Hospital Management System (April 2021)
Created the front-end using ReactJS, back-end using NodeJS & Express and MySQL for database. The system can be used to book appointments, book beds, order medicines, generate lab reports and bill automatically.
Stock Market prediction using Deep Learning (May 2020)
Using the stock price history dataset from a financial site, a DL model was created using LSTM to predict the stock price of a company for the next 7 days with prediction accuracy of 85%..
Brendan Lucas
Junior Developer
Career Objectives
Creative and Hardworking College Student. Bringing forth a motivated attitude and a variety of powerful skills. Adept in various social media platforms and office technology programs. Committed to utilizing my skills further.
Education
Bachelor of Engineering - Computer Engineering(Final Year)
Fr. Conceicao Rodrigues College of Engineering (Mumbai University): 2019-2023
CGPA: 9.80 (Till Sem 5)
HSC Class 12
Public Junior College (Mumbai): 2017-2019
Percentage: 79.38%
SSC Class 10
Holy Cross High School (Mumbai): 2017
Percentage: 82.40%
Skills Possessed
Internships
TIAA GBS India (June 2022 – July 2022)
Worked as an intern at TIAA GBS India from June 2022 for 7 weeks.Created a Software for Linux to Automatically Sync Production environment with Development environment for Prodfix. The software compares the contents and timestamps of the files and only transfers the required files and takes the backup of the previous files
e-Yantra Summer Internship Program (eYSIP) (April 2021 – June 2021)
To create an interactive dashboard for the organizers of a particular competition. The dashboard also featured a ML model to predict number of expected to teams any particular task. The feedback received showed a 30% boost in team retention in the competition.
Project Cell CRCE Web Dev (August 2020 – Feburary 2021)
In this internship we were asked to create website for Project Cell CRCE using MongoDB, ExpressJS, ReactJS and NodeJS and other packages written completely in JavaScript. The new site led to a 53% increase in user activity on the new site compared to the previous site.
e-Yantra Innovation Challenge 2021-22: Creating a semi-automatic robot to harvest coconuts in large coconuts farms. Won prize for Best Hardware implementation.
Amazon ML Challenge: In this competition, participants were asked to create an ML model to automatically classify products into different categories using their title, description and other data.