YOGESH AGRAWAL

Electrical Engineering Student | Data Analytics & AI Enthusiast
Varanasi, IN.

About

Highly motivated Electrical Engineering student from IIT (BHU) with a strong foundation in Data Analytics, AI/ML, and Embedded Systems. Proven ability to develop high-impact solutions, as demonstrated by reducing assembly cycle time by 12% using Power BI and achieving 0.01% accuracy in embedded systems. Eager to leverage strong technical skills, leadership experience, and a passion for innovation to contribute to cutting-edge projects in a dynamic organization.

Work

Bajaj Auto
|

DA Intern

India

Summary

Applied Power BI and DAX queries to optimize REA processes, enhancing efficiency and precision within assembly operations.

Highlights

Developed Power BI dashboards for real-time tracking of REA processes, achieving a 12% reduction in assembly cycle time.

Utilized DAX queries to conduct comprehensive robotic efficiency evaluations, boosting overall productivity by 8% through data-driven insights.

Analyzed error patterns in assembly operations, implementing data-informed refinements that reduced assembly errors by 10%.

Volunteer

E-Cell IIT BHU
|

Event Coordinator | E-Summit'23

Varanasi, Uttar Pradesh, India

Summary

Coordinated the Inquizzitive Event of E-Summit'23, attracting over 5K participants and developing marketing strategies.

Highlights

Coordinated the Inquizzitive Event of E-Summit'23, successfully attracting over 5,000 participants from across India.

Developed and executed targeted marketing strategies that engaged talented individuals, industry leaders, participants, and mentors.

Education

IIT (BHU), Varanasi
Varanasi, Uttar Pradesh, India

B-Tech

Electrical Engineering

Grade: 8.65 CGPA

ST JOHNS BLW VARANASI
Varanasi, Uttar Pradesh, India

ISC (XII)

Science

Grade: 96.00%

ST JOHNS BLW VARANASI
Varanasi, Uttar Pradesh, India

ICSE (X)

General Studies

Grade: 94.40%

Awards

Abhipraya Winner

Awarded By

Pan-India Inter College Case Study Competition

Ranked 1st in a Pan-India Inter College Case Study Competition among 2,000 participants.

VGuard Big Idea Tech Finalist

Awarded By

V-Guard Big Idea Challenge

Secured a spot in the Top 5 out of 930 national teams in the V-Guard Big Idea Challenge.

Finalists at National Social Entrepreneurship Challenge

Awarded By

National Social Entrepreneurship Challenge'22 at NIBM Pune

Ranked among the Top 22 at a Pan-India competition organized by NIBM Pune.

National Finalists at DATA INSIGHTS 2.0

Awarded By

IIM Kashipur

Recognized as a National Finalist of Case Study, Data Insights 2.0, from a pool of 1,500+ students at IIM Kashipur.

Runner Up At Kashiyatra'22

Awarded By

IIT BHU

Achieved 2nd place in the pan-India Mimicry competition held during the annual cultural fest of IIT BHU, Kashiyatra'22.

Skills

Data Analytics

Power BI, DAX, Data Visualization, Data Analysis, Real-time Dashboards, Process Optimization, Performance Analysis.

Artificial Intelligence & Machine Learning

Natural Language Processing (NLP), Speech Recognition, Virtual Assistants, AI Development, Machine Learning.

Embedded Systems & Hardware

AVR Microcontrollers, Embedded C, I²C, DS3231 RTC, PCB Layout, Soldering, Hardware Design, Power Optimization, Real-time Systems, Cell Balancing, Thermal Management.

Programming & Software

Python, C, System Design, Software Development.

Project Management & Leadership

Team Leadership, Project Coordination, Strategic Planning, Event Management, Marketing Strategy, Stakeholder Engagement.

Problem Solving

Error Reduction, Efficiency Improvement, System Optimization, Data-driven Decision Making.

Projects

AI-Jarvis Model

Summary

Developed and implemented a powerful Python-based Virtual Assistant System utilizing AI and Natural Language Processing (NLP) techniques.

7 Segment Display Clock

Summary

Engineered a real-time clock with an AVR microcontroller, focusing on accuracy, power consumption, and user-adjustable settings.

Battery Management System

Summary

Led a team to develop a Battery Management System (BMS) tailored for renewable energy systems, focusing on real-time monitoring and advanced capabilities.