I build end-to-end data solutions - from databases to insights,
transforming raw data into real business impact.
A data enthusiast who believes every dataset tells a story — you just need the right tools to read it.
I'm an aspiring Data Analyst who builds end-to-end solutions. My work combines statistical rigour with machine learning to extract actionable insights from complex, real-world datasets.
From detecting financial fraud in 284K+ transactions to building executive Power BI dashboards — I focus on work that has real business impact, not just impressive numbers.
import pandas as pd from sklearn.ensemble import RandomForest df = pd.read_csv('transactions.csv') # 284,807 transactions model = RandomForest( n_estimators=100, class_weight='balanced' ) model.fit(X_train, y_train) # Precision: 98.7% ✓ # ROC-AUC: 0.908 ✓
Completed an intensive, hands-on Data Science program covering the full analytics pipeline — from data wrangling to model deployment. Worked on real datasets and built production-grade projects.
Built a solid foundation in computer science, programming, and database systems, strengthening analytical thinking and structured problem-solving. These fundamentals now drive my ability to design efficient, data-driven solutions.
Open for Data Analyst roles, internships, and freelance data projects.