🎓 MCA (Artificial Intelligence & Data Science) Student at Amrita Vishwa Vidyapeetham, Mysuru 📊 Machine Learning | Data Science | Data Analytics 📄 Research Presenter at MIKE-2025 🚀 Passionate about solving real-world problems using data-driven approaches

I am a postgraduate student specializing in Artificial Intelligence and Data Science with a strong interest in Machine Learning, Data Analytics, and Data Mining.

My work focuses on transforming raw data into meaningful insights through statistical analysis, visualization, predictive modeling, and machine learning techniques. I enjoy exploring real-world datasets, identifying patterns, and developing solutions that support data-driven decision-making.

I have completed projects spanning retail analytics, transportation analytics, job market intelligence, life expectancy analysis, and social media behavior analysis. Alongside academic projects, I actively pursue certifications and hands-on learning to strengthen my technical and research skills.

My long-term goal is to contribute to impactful AI solutions that combine analytical thinking, research, and practical implementation.

Presented at the 10th International Conference on Mining Intelligence and Knowledge Exploration (MIKE-2025).

This research explores the use of behavioral features extracted from social media data and applies machine learning techniques to identify indicators of depression. The study includes comparative analysis of multiple classification and clustering algorithms to evaluate predictive performance and behavioral patterns.

• Python
• C

• Pandas
• NumPy
• Scikit-Learn
• Data Mining
• Machine Learning
• Predictive Analytics
• Statistical Analysis

• Matplotlib
• Exploratory Data Analysis (EDA)

• Google Colab
• GitHub
• Jupyter Notebook

Machine learning research project comparing SVM, KNN, ID3, Naive Bayes, K-Means, and K-Medoids to analyze social media behavioral patterns related to depression indicators.

Applied data mining techniques to study the impact of social, economic, and healthcare factors on global life expectancy.

Developed predictive models for retail sales forecasting through data preprocessing, feature engineering, and machine learning.

Performed exploratory data analysis to identify ride demand trends, peak usage periods, and travel patterns.

Analyzed customer and product-related datasets to derive business insights and visualize trends.

Studied salary trends, industry demand, and skill requirements across the global data science job market.

• Advanced Machine Learning
• Algorithm Design and Analysis
• AI Research Methodologies
• Data Engineering Fundamentals
• Scalable Data Systems

• Build impactful AI and Data Science solutions
• Contribute to research in Machine Learning and Intelligent Systems
• Strengthen expertise in Predictive Analytics and Data-Driven Decision Making
• Develop industry-ready AI applications with real-world impact

• GitHub: https://github.com/AnkithR10
• LinkedIn: https://www.linkedin.com/in/ankith-r/
• Email: ankith.ravishankar@gmail.com

⭐ "Transforming data into insights and insights into intelligent solutions."