• 📊 I specialize in SQL, Excel, and Power BI for real-world business analytics
• 🎓 B.Sc. in Computer Science & Engineering, Varendra University (CGPA 3.67/4.00, Top 15%)
• 🔬 My research interests include Deep Learning for Biomedical Imaging and Applied Machine Learning
• 🌱 Currently exploring Generative AI — completed Google's 5-Day GenAI Intensive
• 📫 How to reach me: bornalyghosh7@gmail.com

Data Visualization Libraries: Matplotlib, Seaborn  |  Data Analysis: Pandas, NumPy

E-commerce Customer Behavior Analysis Exploratory data analysis of e-commerce customer behavior, uncovering purchase patterns and satisfaction drivers using Python. Python Pandas Seaborn Matplotlib

Omni Retail – Sales Performance & Customer Insights Dashboard Cleaned and transformed raw retail data, wrote advanced SQL queries to analyze revenue trends and customer behavior, and built an interactive Power BI dashboard tracking KPIs like revenue, returns, and customer segments. PostgreSQL Power BI

HR Attrition Dashboard Analyzed employee attrition trends using Pivot Tables and KPI metrics, with an interactive Excel dashboard featuring charts and slicers for HR insights. Excel

• Stability and Chaos in a Multi-Species Stochastic Plankton Model: Spectral Bifurcation Analysis Under Temperature-Dependent Metabolic Scaling — Elsevier (submitted)
• Public Sentiment on the Recognition of eSports as a Sport in Bangladesh: A Social Media Analysis — IEEE COMPAS 2026 (submitted)
• Multimodal Semantic Image Clustering through Adaptive Fusion of Visual and Textual Representation — ICCIT 2026 (submitted)
• Hybrid Modeling of Marine Ecosystem: Integrating Dynamical Systems and Deep Learning for Robust Biomass Forecasting — ICASDS 2025 (Accepted, Poster)