Devika lahari Bandi

I'm a Data Analyst with a strong foundation in Python, SQL, Power BI, and Tableau, built through hands-on remote internship experience and self-driven projects. During my Machine Learning Research internship at GWT, I built and evaluated ML models (Random Forest, KNN, Gaussian Naive Bayes) for rainfall prediction on a dataset of 10,000+ records, achieving 83.8% accuracy, and deployed a real-time Flask-based prediction interface. At MentorNess, I automated reporting pipelines that cut manual processing time by 20% and delivered 15+ Power BI and Excel dashboards for senior leadership, while collaborating with cross-functional remote teams to validate data pipelines against KPIs.

Beyond my internships, I've built several independent projects that reflect where my interests lie: a credit card fraud detection model using logistic regression and SMOTE on 284K+ transactions (87% accuracy, 94% AUC-ROC), a SQL-based sales analysis project uncovering revenue and order-timing patterns across 10,000+ records, an interactive Power BI dashboard analyzing customer spending segments using DAX, and a Random Forest model predicting air quality index from pollutant data (R² = 0.95).

What I enjoy most is the process of taking messy, real-world data and turning it into something people can actually act on — whether that's a predictive model, an automated report, or a dashboard that changes how a team makes decisions. I'm particularly drawn to roles that blend analytics with some machine learning, and I have strong experience working async with distributed, remote teams across time zones. I hold a Master's degree in Computer Science and I'm looking for a full-time remote Data Analyst role where I can keep building in this direction, ideally with a company that values clear communication and ownership over long hours.