Intrainz Innovation Private Limited | artificial intelligence Intern                                                                                                                                                                                 August to October 2024

Completed hands-on internship focused on Computer Vision and Deep Learning using Python.

Built and trained deep learning models using frameworks like PyTorch for image classification and object detection tasks.

Applied OpenCV and image processing techniques to extract and analyze visual data.

Gained experience in model evaluation, tuning hyperparameters, and optimizing neural network performance.

 Participated in code reviews, research discussions, and project demonstrations.

Strengthened skills in convolutional neural networks (CNNs), data preprocessing, and real-world deployment strategies.

TechSaksham | Joint CSR initiative by Microsoft & SAP Intern                                                                                                                                                                            November to December 2024

 Gained hands-on experience with Python programming and core NLP techniques through expert-led technical sessions and mentorship.

Designed and developed a Conversational AI Chatbot using Python, capable of understanding and responding to user queries in natural language.

Selected for a 4-week national-level internship focused on AI: Transformative Learning under AICTE, Microsoft, and SAP.

Completed industry-curated sessions on AI technologies, project development, and real-world problem-solving.

 Received personalized mentorship from Microsoft & SAP professionals, including “Ask Me Anything” sessions.

Independently designed and implemented an AI project prototype addressing a real-world problem.

Prepared comprehensive technical documentation including Problem Statement, Objectives, Literature Survey, Methodology, and Final Report.

Earned certifications from Microsoft, SAP, AICTE, and Edunet Foundation.

AtliQ Technologies | Data Science Intern                                                                                                                                                                                                                                         February to March 2025

 Built and deployed a real-world machine learning model using Python, SQL, and AWS, focusing on data cleaning, model training, and evaluation.

Extracted and processed large datasets using SQL and developed predictive solutions in Python with tools like scikit-learn, delivering actionable business insights.

Wrote efficient SQL queries to extract, join, and aggregate data from relational databases for model training and insights.

Worked with AWS services (e.g., S3, EC2, SageMaker) for scalable cloud-based data storage and model deployment.

Performed data cleaning, EDA, and model evaluation to ensure high model accuracy and reliability.

Collaborated with a data science team to present actionable insights through reports and visualizations

Edunet Foundation, in collaboration with AICTE & Shell Intern                                                                                                                                                                                  April 2025 to April 2025

Completed a 4-week AICTE-certified internship on "Green Skills using AI Technologies" in collaboration with Shell and Edunet Foundation.

Built a machine learning model to forecast wind power generation using Python, Scikit-learn, and data visualization libraries (Matplotlib, Seaborn).

Performed data cleaning, exploratory data analysis (EDA), and feature engineering on renewable energy datasets to extract actionable insights.

Earned a certificate from AICTE, Shell, and Edunet validating skills in AI-driven sustainable energy solutions.

Foundations of Artificial Intelligence Internship | Microsoft, AICTE, Edunet                                                                                                                                                          April 2025 to April 2025

Gained hands-on experience in AI, Machine Learning, Deep Learning, and Cloud-based tools using Microsoft Azure.

Explored supervised and unsupervised learning algorithms including classification, regression, and clustering through practical implementations.

Worked on real-world problem statements and built AI models for tasks like image classification using Azure Custom Vision.

Built and presented an AI-based project under the mentorship of industry experts, demonstrating practical understanding of data preprocessing, modeling, and deployment.

Completed structured learning modules on Microsoft Learn and Edunet LMS covering GenAI, neural networks, and deep learning.

Participated in masterclasses conducted by AI professionals, enhancing understanding of modern AI applications and ethical practices.

Earned a co-branded internship certificate from Microsoft, AICTE, and Edunet Foundation validating foundational skills in AI and cloud computing.