Enthusiastic Data Analyst and Software Developer | Python • Java • R • SQL • Tableau • Power BI • IoT
I am a Data Science postgraduate student with a strong focus on machine learning, AI-based applications, and data-driven problem solving. My work revolves around building intelligent systems, performing statistical analysis, and creating end-to-end analytical workflows that deliver real insights.
I enjoy solving challenges related to predictive modeling, data preprocessing, medical imaging, NLP, and real-time analytics, and I love turning raw datasets into meaningful, actionable information.
🔹I am currently deepening my expertise in:
🔹Machine Learning and Deep Learning (classification, regression, medical image analysis)
🔹Python-based data pipelines using Pandas, NumPy, Scikit-learn
🔹Statistical modeling and hypothesis testing
🔹AI + IoT integrations
🔹Dashboards and visual analytics using Power BI, Tableau, and Plotly
🔹Full-stack ML apps using Flask, Streamlit, and REST APIs
🔹Medical image segmentation using computer vision
🔹NLP-powered feedback analysis systems
🔹Fraud detection using machine learning
🔹Data storytelling through dashboards and EDA
🔹Improving ML model interpretability and explainability
My goal is to build AI-powered systems that are not only technically accurate but also useful, interpretable, and impactful in real-world scenarios. I aim to work at the intersection of:
Data Science
AI for Healthcare
Predictive Analytics
Intelligent Automation
and contribute to solutions that improve decision-making and create measurable value.
⭐ Thanks for visiting my profile!