▫️Worked on IBM Cloud, utilizing its services to develop and deploy AI-driven solutions.▫️Completed two projects using IBM Watson Studio AutoAI, focusing on automated data preprocessing, model development, and deployment.▫️Designed and implemented a restaurant chatbot prototype using WatsonX Assistant, enhancing user interaction and automating customer support processes.

▫️Managed and strategized digital media campaigns, increasing outreach and engagement for CSI-VIT initiatives.▫️Analyzed social media performance metrics to optimize content and improve audience interaction.▫️Initiated and maintained a database for media files, ensuring efficient organization and accessibility.▫️Led a team to create impactful visual and written content, ensuring alignment with organizational goals.

Learnings:•Python and it's libraries (NumPy, Pandas, Matplotlib, Seaborn) •Data Preprocessing or Data Cleaning using One-hot encoding and column encoding•Regression models - Linear regression, Multiple regression, Polynomial regression, Decision tree, Random forest, KNN regression, SVM•Classification models - Logistic regression, KNN, Naive Bayes, SVM, Decision Tree, Random forest•Unsupervised learning - Dimension Reduction, K Fold•Boosting Algorithms - AddaBoost, XG boostProjects:• Car Price Prediction System• Movies Recommendation System