agu4dnation

Developed an end-to-end cryptocurrency forecasting project using historical Solana (SOL) market data, including data preprocessing, exploratory data analysis, feature engineering, and time-series analysis. Implemented and compared Naive, Historical Average, and Window Average baseline models against Random Forest and XGBoost regression models. Evaluated model performance using MAE and RMSE with time-based validation and visualization of actual vs. predicted prices. Analyzed cryptocurrency price and return distributions and generated multi-day forecasts to assess model performance and predictive capability.

Performed customer transaction data analysis to evaluate transaction volume per customer, detect high-value transactions, measure transfer frequency, and identify anomalous spikes in activity using analytical techniques for pattern recognition and decision support.

Executed a freelance project analyzing sales and business performance data, gaining experience in tracking revenue trends and understanding customer behavior. Delivered actionable insights to support business decision-making and operational planning.

Gained hands-on experience analyzing real-world datasets and applying data analysis techniques during an NYSC internship program.