Hands-On Data Visualization with Microsoft Power BI

Database Management System - Science Graduates

High Impact Presentations

Email Writing Skills

Introduction to Business Intelligence

Agile Scrum in Practice

Introduction to Machine Learning

Certificate of Internship

Introduction To Industry 4.0 And Industrial Internet Of Things

Learning Microsoft Power BI

Multidimensional Data Modeling

Introduction to Entity Relationship ER Modeling

Power BI for Business Professionals

Python

Software Engineering and Agile software development

Time Management

TechA Data Analytics using Power BI Foundation Certification

Python Bootcamp

Bachelor of Technology - BTech

As a Data Analyst Intern at Unified Mentor, I am focused on developing strong analytical skills through hands-on projects and structured learning. My key projects include IBM HR Analytics Employee Attrition & Performance and Uber Trip Analysis, where I apply data analysis, visualization, machine learning and problem-solving techniques to derive meaningful insights. I am committed to enhancing my expertise in data analytics while contributing to impactful projects that address real-world challenges.

Data Analyst Intern

As a Software Development Intern at TechHub Technology, I develop Python scripts for web scraping to extract valuable data from online sources, supporting data-driven decision-making. I am also working on designing and building a personal portfolio website using HTML, CSS, and JavaScript, which ensures a dynamic and responsive user experience. Additionally, I contribute to the company’s online presence by authoring technical posts on Quora, and sharing insights on data analysis and web scraping, which enhances my technical communication skills. This role is providing me with hands-on experience in real-world data projects and strengthening my ability to work independently and as part of a team.

Software Intern

I was selected for the Infosys Springboard Internship 5.0, Batch 2, starting in mid-October 2024. In this internship, I have worked on the project titled Customer Segmentation Analysis using Power BI.  This internship focuses on gaining practical skills and industry insights through structured learning modules and projects, providing opportunities to enhance my knowledge and expertise in a professional environment.

During my virtual internship at IBM under the PBEL (Project-Based Experiential Learning) program, I worked on a deep learning-based image classification project titled "Cats vs Dogs Image Classifier using CNN". The internship was conducted through IBM’s Skills Network platform and focused on the end-to-end development and deployment of a computer vision application. My work involved designing a Convolutional Neural Network (CNN) to accurately classify cat and dog images using a balanced dataset sourced from Kaggle.

I implemented key deep learning concepts including data preprocessing, image normalization, and augmentation techniques such as horizontal flipping, rotation, and zooming to improve model generalization. The model achieved a validation accuracy of 84.5% and was evaluated using standard performance metrics including precision (85.2%), recall (83.1%), and F1-score (84.1%). Regularization techniques like dropout and early stopping were applied to mitigate overfitting.

For dep

AI Intern

Aspiring ML Engineer | Python, SQL, PyTorch, Linear Algebra | IBM & Infosys Internship Experience | NPTEL Certified

github

leetcode

Know about Divyanshu Sharma's work experience, education, bootcamps, certifications, and much more. Divyanshu Sharma