Aayush Bhardwaj

Moradabad

Summary

Dynamic intern at Umaga Technologies with expertise in developing smart IoT solutions using Arduino and Raspberry Pi, achieving a 25% enhancement in system performance. Proficient in Python and experienced in stakeholder management, facilitating effective communication and collaboration. Skilled in cloud integration and data visualization, ensuring seamless device connectivity for scalable implementations.

Overview

Certification

Work History

Intern

Umaga Technologies

Greater Noida

08.2023 - 09.2023

Developed smart IoT solutions using Arduino and Raspberry Pi for real-time data monitoring.
Integrated sensors and improved system performance and accuracy by 25%.
Assisted in cloud integration using AWS IoT Core for data storage and visualization.
Conducted testing, debugging, and ensured smooth communication between devices.
Documented system architecture and processes for future scalability and implementation.

Education

B.Tech - Computer Science

Noida Institue Of Engineering And Technology

Greater Noida , Gautam Budhh Nagar

07-2026

12th - Science

SpringFields College

Moradabad

06-2022

Skills

Languages:
Python, SQL, JAVA

Frameworks:
Pandas, Numpy, Scikit-Learn, Matplotlib

Tools:
Power BI, Excel, MySQL, SQLite

Platforms:
PyCharm, Jupyter Notebook, Visual Studio Code, IntelliJ IDEA

Soft Skills:
Rapport Building, Strong Stakeholder management, People Management, Excellent communication

Projects

Student Performance Prediction |
December 23 - February 2024

Achieved a 96% accuracy rate in forecasting student academic performance by developing and deploying a machine learning model.
Managed data integrity by handling missing values and encoding categorical variables, enhancing quality by 33%.
Conducted experiments with both classification and regression algorithms to identify the most suitable approach.
Identified and comprehended key factors influencing academic performance through thorough analysis.

Credit Card Fraud Detection
September 23 - October 2023

Developed and fine-tuned a logistic regression-based machine learning model achieving an 87% accuracy rate in predicting credit card fraud.
Minimized false positives by 16% through rigorous feature engineering and hyperparameter tuning processes.
Implemented under-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance.
Successfully mitigated fraudulent transactions while optimizing model efficiency by 23% and accuracy by 6%.

Certification

Introduction to Python – Infosys Springboard | Certificate
April 2024

Gained foundational knowledge in Python programming, including data types, control structures, functions, and file handling.
Built hands-on projects to reinforce understanding of real-world problem solving using Python.
Strengthened logical thinking and programming efficiency through structured coding exercises.

Java Programming Fundamentals – Infosys Springboard | Certificate
April 2024

Acquired core understanding of Java syntax, object-oriented programming (OOP), and key concepts like classes, inheritance, and interfaces.
Developed small-scale applications to apply principles of encapsulation, abstraction, and polymorphism.
Strengthened problem-solving and debugging skills through practical coding exercises and hands-on challenges.

Timeline