- Interests: Coding, Photography, Music
- Learning: AI training modules, LLMs, data analysis & prediction
- Open to collaborate on: Training and building neural network models
- Domain focus: Quantitative finance & data analytics — time‑series forecasting, stochastic modeling, Monte Carlo simulation, risk scoring, and fraud/anomaly detection.
Languages:
Frontend:
AI / ML:
Cloud:
Backend / Frameworks:
App Development:
Databases:
Others:
- Building finance models for forecasting and risk insights (classical + ML).
- Stochastic models: random walks, Monte Carlo simulation, and probabilistic inference.
- Fraud/Anomaly detection for transactional data (imbalanced learning focus).
- Data analytics: feature engineering, time‑series analysis, and dashboarding.
- 🧩 Inference-learning — Core inference experiments (MLE/Bayesian ideas) used in my modeling workflow.
https://github.com/AaryanAnand10/Inference-learning - 💹 Finance-Modeling — Financial modeling experiments (forecasting, risk analysis, backtesting).
https://github.com/AaryanAnand10/Finance-Modeling - 🛡️ Credit Card Fraud Detection — Fraud/anomaly classification on transaction data (precision‑recall focus).
https://github.com/AaryanAnand10/Credit_Card_Fraud_Detection- - 💰 Income-Tracker — Personal finance tracker with analytics and visualizations.
https://github.com/AaryanAnand10/Income-Tracker-