I participated in the IBM SkillsBuild project-based internship on IR 4.0 technologies like AI for 6 weeks, including self-paced and mentor-led sessions.

During this period, I worked to solve real-world challenges and created AI Mental Fitness Tracker Project using Machine Learning and Data Analytics skills and achieved more than 94% accuracy of the model.

Worked upon Credit Banking Project and Credit Card Transaction Project and implemented Data Analytics with high accuracy and visualisation to showcase the best results.

Finished a 2-week internship from May 17th, 2023 to May 31st, 2023 in the domain of Artificial Intelligence provided by IBM SkillsBuild.

Learned AI and ML on IBM SkillsBuild in Edunet - Artificial Intelligence and Machine Learning and Job Readiness Course.

Achieved more than 90% accuracy in projects.

Did Unemployment Analysis using Visualization skill using Plotly, Seaborn and Matplotlib.

Developed Car Price Prediction Model using Numpy, Pandas and Sklearn.

Achieved more than 94% accuracy in the model testing phase using Data Analysis and Machine Learning.

Developed Student Marks Prediction Model using Numpy, Pandas, Matplotlib and Sklearn.

Implemented Supervised and Unsupervised techniques of Machine Learning.

Resume short-listed for Microsoft Engage Intern Program 2022.

Appeared for DSA Online Challenge 1 and successfully cleared that round.

Short-listed for Online Challenge 2 and appeared for that round too as well but unfortunately can’t be there as Mentee in Microsoft Engage 2022 program.