EDUCATION

Onkar Gunjkar

Dearborn, MI ***** (open to relocate) 248-***-**** ad3u1a@r.postjobfree.com

Master of Science in Engineering in Electrical Engineering Minor in Data Science Exp. Grad.: Apr 2025 University of Michigan, Dearborn, MI, USA GPA: 3.77/4.00

(Courses: Intelligent system (ADAS), Big Data Analytics and Visualization, Embedded Systems) Bachelor of Technology in Electrical and Electronics Engineering Graduated: Jul 2021 Visvesvaraya National Institute of Technology, Nagpur, IN GPA: 3.56/4.00

(Courses: Control Systems, Power Systems, MATLAB and Simulink circuit design, Linear Electronics Circuits) TECHNICAL SKILLS

Programming Languages: C, Embedded C, Python, JavaScript, SQL, PySpark, Hive.

Technologies and Tools: MATLAB, Simulink Modelling, Arduino, Power BI, Qilksense, Looker, Power Automate, GitHub, Docker, Azure Data Analytics, AWS, GCP, Agile Methodology.

Operating Systems: Windows, Linux, Ubuntu.

MS Office Suite: Word, Excel, Power Point.

RELEVANT EXPERIENCE

Graduate Teaching Assistant University of Michigan, Dearborn Dearborn, MI Aug 2023 – Present

Work as a Teaching Assistant for the course Automotive sensors and Actuators. Explained the concepts of functions, actuators, and various sensors in an automotive system to over 70 students.

Organized quizzes, prepared questions papers and graded assignments on regular basis. Data Scientist Fractal Analytics Mumbai, IN Aug 2021 – Aug 2023

Pioneered the E-Commerce Approvals Web Application, streamlining the approval process for 1000 employees handling

$50 million per quarter, employing tools such as Power Apps, Power Automate, Python, and Power BI.

Leveraged a comprehensive stack of big data and Machine Learning algorithms, including Apache Spark, Google Cloud Platform (GCP), Scikit- learn, TensorFlow, and PyTorch, AIDE (Automated Insight Digital Evolution) solution aimed at optimizing the online customer experience for a retail bank, resulting in a 280% increase in conversion rate and 80% decrease in solution time.

Developed ETL Solution independently in a direct client facing role for auditing North American Media Review of program which had a total budget of around $10 million per quarter using Informatica and Abby.

Constructed data pipeline (CI/CD) for large datasets using Azure Data Lake Gen2, Data Bricks, Synapse, Azure Spark, SQL for Power BI dashboards, enhancing data-reliability by 30%-40%, and enabling data-driven insights.

Worked on development and documentation of Power Automate data flows for smooth operation of approvals of nearly 8000 employees across 15 different categories for famous FMCG client of Fractal and completed it very tight deadlines. RELEVANT PROJECTS

Vehicle Battery State of Charge estimation utilizing Machine Learning and MATLAB Aug 2023 – Dec 2023

Estimate and optimize the %SOC value for a high voltage Vehicle Battery, resulting in 60% improvement in the accuracy of autonomy prediction value for a given vehicle.

Utilized Machine Learning and Feed Forward Neural Network to predict %SOC with a minimal 0.9% Mean Squared error using Voltage, Current, and Battery Temperature.

Composed a battery model for testing, conducting real-time performance analysis through simulation in MATLAB and Simulink.

LED Lighting circuit using Ultracapacitor as source Aug 2020 – May 2021

Devised a Lightning circuit using LED and Ultracapacitor where Ultracapacitor is used as source and verified charging discharging time of Ultracapacitor using MATLAB and Simulink.

Designed a circuit using AutoCAD and implemented as power electronic converter to efficiently power LEDs using Ultracapacitors, reducing component count and minimizing voltage ripple to 1%.

Integrated Ultracapacitors with battery packs in a hybrid energy storage system, delivering enhanced battery life for Electric Vehicles by 50%.

PID Controller based temperature control system Aug 2020 – Dec 2020

Implemented an embedded based PID control system for temperature regulation in an incubator utilizing Arduino uno Microcontroller, reducing temperature fluctuations by 20% under consistent conditions.

Integrated a thermistor as a temperature sensor, enabling accurate analog data acquisition by the Microcontroller.

Programmed the PID control algorithm in embedded C, optimizing proportional, derivative, and integral terms for efficient temperature regulation.

Adopted Simulation tools to analyze closed-loop control system, assess control system stability.