Aditya Singh

About Me

I am a passionate data scientist with a strong foundation in machine learning, artificial intelligence, and data analytics. Currently pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning from Sanjay Ghodawat University, I have hands-on experience in developing and deploying machine learning models for real-world applications. As a Microsoft Learn Student Ambassador, I have conducted workshops and guided peers in learning Microsoft technologies.

Projects

Advance Data Encryption Decryption Python GUI Software

Developed advanced Python GUI software for data encryption and decryption. Implemented robust cryptographic algorithms ensuring high data security. Created a user-friendly interface facilitating ease of use for non-technical users.

Classroom Integrity Monitoring System

Spearheaded the development of a Classroom Integrity Monitoring System utilizing machine learning and computer vision. Designed to detect and prevent cheating behaviors in exam halls. Employed advanced algorithms for real-time monitoring and alerting.

Sales Prediction Model

Built a machine learning model to predict sales using Python libraries such as scikit-learn and pandas. Provided actionable insights for business growth and strategy. Improved the accuracy of sales forecasts, aiding in inventory and resource management.

Iris Flower Classification

Utilized various machine learning algorithms to classify iris flower species based on petal and sepal dimensions. Employed data visualization techniques to explore and present the dataset. Achieved high classification accuracy, demonstrating the effectiveness of the model.

Unemployment Analysis with Python

Conducted a comprehensive analysis of unemployment data using Python. Visualized trends and patterns in unemployment rates over time. Identified key factors contributing to unemployment and provided actionable insights.

Car Price Prediction with Machine Learning

Developed a machine learning model to predict car prices based on various features. Utilized regression techniques and feature engineering to improve model performance. Provided a user-friendly interface for predicting car prices based on input parameters.

Email Spam Detection with Machine Learning

Created a machine learning model to classify emails as spam or non-spam. Employed natural language processing techniques to preprocess email data. Achieved high accuracy in spam detection, improving email filtering efficiency.

Work Experience

Microsoft Learn Student Ambassador

Jul 2024-Present

Organized and led workshops and webinars to educate peers on Microsoft Azure and Power Platform. Provided mentorship and technical support to students, fostering a collaborative learning environment.

Developed and shared educational content, including tutorials and blogs, to promote tech literacy. Coordinated events and hackathons, enhancing community engagement and networking opportunities.

Achieved Microsoft certifications, demonstrating proficiency in Microsoft technologies and tools.

Cosmic365.Al: Internship

Mar 2024-Jul 2024

Completed a 5-month internship specializing in content creation, logo design, and AI projects.

Created engaging content and marketing materials, contributing to brand identity and market visibility. Worked on AI projects involving data analysis, model training, and deployment, gaining practical experience in artificial intelligence technologies.

Recognized with a $600 scholarship for outstanding performance and innovative contributions to internship projects.

CodSoft: Internship (Web Development)

Jun 2024-Jul 2024

Completed a 4-week internship focused on web development.

Developed responsive websites using HTML, CSS, JavaScript, and Bootstrap, enhancing front-end development skills. Collaborated with a team to implement website features and optimize performance for improved user experience.

Certifications

Azure Data Scientist Associate

Python and Django Framework

Python for Data Science

Java Course

Cloud Computing

Prompt Engineering

Data Analysis

Skills

Programming Languages: Python, C, JavaScript, SQL ,C++
Frameworks: Django, Flask, React, Angular
Tools & Technologies: Git, Docker, Kubernetes, AWS
Data Analysis: pandas, NumPy, scikit-learn, Matplotlib
Machine Learning: Supervised Learning, Unsupervised Learning, Neural Networks
Web Development: HTML, CSS, Bootstrap, Tailwind CSS
Soft Skills: Communication, Teamwork, Problem-solving, Adaptability

Additional Information

Hackathons

Participated in HackOn Blocks 2024, submitted project on 'Advance Data Encryption Decryption Python GUI Software' under the 'Reclaim Protocol: Reclaim Protocol and ZkFetch' track. YouTube Project Link

Awards

Received exclusive swag for participation in Devfolio HackOnBlocks'24 hackathon.

Extracurricular Activities

Active member of the Trailblazer Community, participated in various tech meetups and coding competitions.

Contact

Email: singaditya934@gmail.com

Mobile: 8252888953

LinkedIn: linkedin.com/in/aditya-singh-05204b266

GitHub: github.com/Aditya2344s

Data Scientist & Machine Learning Enthusiast