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Title Machine Learning Data Analytics
Target Location US-PA-Philadelphia
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Candidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE github.com/Candidate's Name  Philadelphia, PA EDUCATIONUniversity of Pennsylvania Philadelphia, PA May Street Address  MS in Electrical EngineeringCoursework: Embedded Systems; IoT Edge Computing; Digital Signal Processing; Computer Engineering and Architecture; Networks and Protocols; Digital Integrated Circuits and VLSI; Big Data Analytics; Data & Analysis for Marketing. K. J. Somaiya College of Engineering Mumbai, India May Street Address  B.Tech. in Electronics EngineeringPROFESSIONAL EXPERIENCEPRECISE CENTER AT PENN ENGINEERING Philadelphia, PA Oct 2023  Present Research Assistant (RA) Formulated Sensor Integration and executed 3 different Machine Learning Models for the Analysis of Loneliness Data project at the Penn Research for Embedded Computing and Integrated Systems Engineering (PRECISE) center. Analyzed data of more than 25 hospital patients using embedded sensors and monitoring mechanisms. Optimized Matlab and Python scripts to increase neural network and prediction accuracy by more than 20%. TATA ELXSI Mumbai, India Feb 2021 - Apr 2021Internship Trainee Engineered an Arduino-based device for monitoring vital signs of 50+ critical patients during the Covid-19 pandemic. Innovated and enabled Wi-Fi and Bluetooth connectivity to transmit 2KB of JSON data, adhering to MIPI standards. Synchronized 3 sensors with Digital Signal Processing techniques to facilitate consumer-driven product development. DEPT. OF ELECTRONICS ENGINEERING, KJ SOMAIYA Mumbai, India Dec 2019  Feb 2020 Academic Intern Orchestrated the development of an RF-based system for monitoring attendance using UART, USART and SPI communication across 30+ classrooms and staff offices, boosting campus security and efficiency by 40%. Operated by an Arduino and LabVIEW, the system reads more than 2.5k student IDs to record attendance in MS Excel. Saved $35k+ in replacements by reprogramming the C++ back-end to cater to the RF chips in the existing ID cards. PROJECTSSMART SHOES USING IOT C, RTOS, Altium PCB, I2C, UART, Wi-Fi, Design for Security Pioneered the creation of Smart Shoes for athletes, utilizing SAMD21 microcontroller with I2C and SPI sensors using RTOS, facilitating PCB Layout Validation, which resulted in a 25% rise in athletic performance and injury prevention. Manufactured real-time athlete performance tracking system on an Multi-Layer HDI PCB designed using Altium CAD, leveraging cloud dashboard for instant data visualization; reduced injuries by 20% and enhanced overall performance. AUTONOMOUS SELF DRIVING VEHICLE I2C, SPI, PWM, MATLAB, Arduino, Stereo Camera Spearheaded the successful assembly and integration of a LiDAR and Nvidia Jetson-based autonomous vehicle, incorporating a Robotic Operating System and Stereo Cameras, coalescing more than 5 sensors and actuators. Transformed real-time object detection and depth perception, enabling autonomous navigation within a 10m range. FALLING TILES GAMEWITHSPATIALAUDIO Raspberry Pi, PCIe, PIO, ADC, PWM, VGA Display Engineered a Falling Tiles game using an RP2040 board on VGA display and joystick control. Achieved seamless game control using PIO state machines, joystick control from ADC calibration, and spatial audio with PWM sampling. TOUCH ENABLEDWALLUSINGLIDAR Python, LiDAR, USB C, System Design, Developed an innovative, cost-effective interactive Python based learning solution using LiDAR triangulation; achieved a budget of less than $200 while delivering engaging educational experiences to over 1000 students. Deployed a cutting-edge Object Detection algorithm, revolutionizing finger tracking on surfaces and enabling seamless cursor mapping, leading to a 15% increase in response speed and error reduction to just 5 pixels. SKILLSLanguages: C, C++, Python, Embedded C, FreeRTOS, Verilog, MATLAB, Bash, Git, Perl, Linux, Shell Software: Altium PCB Designer, Eagle CAD, Cadence Virtuoso, Microchip Studio, LabVIEW, LTspice, MATLAB Technology: Arduino, Raspberry Pi, ESP32, Microchip, Adafruit, NVIDIA Jetson, NS-3, Azure, LiDAR Protocols: I2C, SPI, CAN, UART, USART, USB, JTAG, TCP/IP, UDP, FTP, HTTP, 5G/4G

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