Akash Kumar

Akash Kumar

Electrical & Electronics Engineering Student | AI/ML & Data Science Enthusiast

Bangalore, Karnataka, India, IN.

About

Highly motivated Electrical and Electronics Engineering student with a strong foundation in AI/Machine Learning, Data Science, and competitive programming. Proven ability to design and implement complex technical projects, optimize systems, and develop data-driven solutions with quantifiable results. Eager to apply analytical thinking and problem-solving skills to challenging roles in AI/ML, Data Science, or Software Engineering.

Volunteer

Club Activity Contributor

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IIT Patna Anime Club & HoSCA

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Contributed to the planning and execution of various club activities for the Anime Club and HoSCA at IIT Patna, fostering community engagement.

Highlights

Assisted in planning and executing diverse club activities, enhancing student engagement and fostering a vibrant campus environment.

Collaborated with team members to ensure successful event delivery, contributing to positive participant experiences.

Competitive Cricket Participant

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Infinito’22, IIT Patna

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Participated in competitive cricket events at Infinito’22, IIT Patna, demonstrating teamwork and sportsmanship.

Highlights

Demonstrated strong teamwork and collaborative skills through participation in competitive cricket events.

Contributed to team performance in a high-pressure competitive environment.

Education

Indian Institute of Technology (IIT) Patna

Patna, Bihar, India
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B.Tech Electrical and Electronics Engineering Grade: 70.7%

S.N.S College, Jehanabad

Patna, Bihar, India
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Intermediate Intermediate Annual Examination Grade: 77.6%

High School Ghosi, Jehanabad

Patna, Bihar, India
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High School Diploma Secondary School Examination Grade: 78.2%

Awards

Joint Entrance Examination Advanced Rank

Joint Entrance Examination (JEE) Advanced

Ranked in the top 5% out of 150,000 candidates, demonstrating exceptional academic aptitude and problem-solving skills.

Skills

Programming Languages & Tools

Python, C/C++, GitHub, VS Code, Jupyter, Google Colab, Azure Services.

Libraries & Frameworks

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Bootstrap.

Database & Software Development

MySQL, MongoDB, Object-Oriented Programming (OOP).

Technical Skills

Data Science, Data Analytics, Machine Learning, Deep Learning, Statistics, Data Structures & Algorithms (DSA).

Mathematics

Probability and Random Processes, Differential Equations, Linear Algebra, Complex Analysis.

Competitive Programming

CodeChef (Rating: 1195), Codeforces (Rating: 995), Problem Solving, Algorithmic Expertise.

Projects

ML based Buck-Boost Converter

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Summary

Designed and implemented a robust hardware Buck-Boost converter capable of efficiently stepping up or down DC input voltage by adjusting the duty cycle.

Automated Plant Leaf Disease Detection

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Summary

Built a machine learning system utilizing Convolutional Neural Networks (CNN) to automatically detect diseases in plant leaves from images.

Optimization of Frequency Compression Techniques of ECG Signals

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Summary

Designed and optimized frequency compression techniques for ECG signals, utilizing both wavelet and cosine transforms to enhance signal processing efficiency.