Hi, my name is

Jagadish Hugar.

I build intelligent solutions with data.

An aspiring Data Scientist and Machine Learning Engineer focused on bridging the gap between raw data and actionable intelligence. Backed by a solid foundation in Python, statistics, and predictive modeling.

About Me

I am a passionate tech enthusiast pursuing a career in Artificial Intelligence and Data Science. I thrive on diving deep into complex datasets to uncover hidden patterns, build robust machine learning architectures, and optimize algorithms for real-world impact.

With structured academic training, continuous self-learning, and hands-on project experience, I have developed a strong knack for algorithmic problem-solving—whether it's fine-tuning predictive algorithms or structuring robust relational databases.

Technical Expertise

Languages & Core

HTML CSS Python SQL C Programming Java

Data Science & ML

Machine Learning Statistical Analysis Artificial Neural Networks (ANN) Data Structures & Algorithms

Tools & Databases

Jupyter Notebook Pandas & NumPy Matplotlib & Seaborn Scikit-Learn MySQL / RDBMS Microsoft Excel Power BI & Tableau Git & GitHub

Featured Projects

Haldyn-Heinz-Sales-Analysis-Dashboard

An interactive Power BI business intelligence dashboard analyzing ₹2.30M in sales and ₹286.40K in profits across regions and product categories[cite: 2]. Features custom DAX measures, dynamic waterfall visuals, and customer segmentation analysis[cite: 3, 7].

Power BI DAX Power Query Data Analytics

Blood Bank Registry

Blood bank registry with geospatial donor-matching (Haversine), a live critical-stock monitoring view, and transactional donation processing in T-SQL.

SQL RDBMS Database Design

Artificial Neural Network Classifier

Designed and trained an Artificial Neural Network optimized for predictive modeling. Focused on architecture optimization, hyperparameter tuning, and performance evaluation to maximize classification accuracy metrics.

Python Neural Networks Deep Learning

Let's Connect

I am currently looking for entry-level opportunities, internships, and data-driven collaborations.