Data Dashboarding & Insights
Built interactive dashboards to summarize and visualize data, uncovering trends and actionable insights for business decisions. Explored city-wise brand preferences and data-driven segmentation.
Data Science student • BS at IIT Madras
Currently completing diploma. I enjoy turning data into insights and building practical, business-focused ML solutions.
I'm a Data Science student at IIT Madras on a mission to transform complex data into meaningful stories and intelligent solutions. My journey combines rigorous academic training with hands-on project experience, allowing me to bridge the gap between theoretical concepts and real-world impact.
What drives me is the excitement of uncovering hidden patterns in data and building systems that learn and adapt. Whether it's predicting outcomes, automating decisions, or visualizing insights, I approach each challenge with curiosity and a commitment to creating solutions that matter.
I design and deploy machine learning models that solve real problems. From supervised learning for prediction tasks to unsupervised methods for pattern discovery, I work with scikit-learn, TensorFlow, and PyTorch to build intelligent systems. Currently exploring deep learning and generative AI to push the boundaries of what's possible.
Numbers tell stories when you know how to listen. I specialize in exploratory data analysis, statistical modeling, and creating compelling visualizations that drive decisions. Using Pandas, NumPy, and visualization libraries, I transform raw data into actionable insights that stakeholders can understand and act upon.
Behind every great data solution is solid engineering. With a strong foundation in Data Structures & Algorithms, I build efficient, scalable applications using Python, Java, and SQL. My web development skills with Flask and SQLAlchemy allow me to create end-to-end data applications with intuitive interfaces.
I speak both languages—data and business. By understanding organizational goals and translating them into analytical frameworks, I create models that deliver measurable business value. My focus is on solutions that are not just technically sound, but strategically aligned with business objectives.
Built interactive dashboards to summarize and visualize data, uncovering trends and actionable insights for business decisions. Explored city-wise brand preferences and data-driven segmentation.
Developed regression and classification models for stock returns, salary analysis, and medical outcomes. Used scikit-learn for linear/logistic regression, SVM, decision trees, and ensemble methods.
Applied ANOVA and repeated measures analysis to study the impact of repeated ad exposure and other experimental designs. Used statistical tests to validate findings and support business recommendations.
Automated data processing and reporting using Linux, Bash, AWK, and sed. Built scripts for log analysis, data cleaning, and workflow automation in real-world data projects.
Completed full ML project cycles: data sourcing, preparation, modeling, and deployment. Used modern tools for version control, packaging, and collaborative development.
If you'd like to collaborate or have an opportunity in mind, feel free to reach out.