Open to opportunities

Akshat Agarwal

@akshatagarwal2

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Aspiring data scientist with a focus on machine learning solutions.

Zimbabwe

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What I'm looking for

I am looking for a dynamic role where I can leverage my skills in machine learning and data analysis, contribute to innovative projects, and grow within a collaborative team environment.

I am an aspiring data scientist with a strong foundation in machine learning and artificial intelligence. My recent internship at AICTE allowed me to create a machine learning model that improved prediction accuracy by 10%, showcasing my ability to apply theoretical knowledge to real-world problems. I have hands-on experience with Python libraries such as Pandas, NumPy, and Scikit-learn, which I utilized to enhance model performance through efficient data preprocessing and feature engineering.

In addition to my internship, I have developed several projects, including CureWise, a personalized medical recommendation system that achieved over 90% accuracy in disease prediction, and SmartPrep, an AI-powered interview preparation platform that supports over 100 active users. These projects not only highlight my technical skills in frameworks like React.js and Node.js but also my commitment to creating user-friendly applications that drive engagement and improve outcomes.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence And Machine Learning Intern

AICTE Virtual Internship

Jan 2025 - Mar 2025 (2 months)

Created a machine learning model to predict outcomes from a dataset, improving accuracy by 10% after optimization. Used Python libraries like Pandas, NumPy, and Scikit-learn for data preprocessing, feature engineering, and model training, making the machine learning process more efficient and enhancing model performance.

Machine Learning Python Pandas NumPy scikit learn data preprocessing Model Training Data Analysis

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology

B.Tech, Computer Science & Engineering

Grade: 8.95/10 CGPA

Activities and societies: Corporate Member at SRM Placifvs, helping to increase internship opportunities by 15% and coordinating over 30 student interviews.

Pursued a Bachelor of Technology in Computer Science & Engineering, achieving a CGPA of 8.95/10. Gained comprehensive knowledge in computer science fundamentals and engineering principles.