Eren G.

I build Python/ML solutions for finance & economics: time‑series forecasting, algorithmic trading bots, econometric models, and data dashboards. Delivered results: ↓ error rates, ↑ ROI, clean reproducible code. I help founders, analysts, and funds turn messy financial/economic data into actionable models, forecasts, and dashboards. What I Do (Deliverables) Time‑Series & Econometric Modeling: ARIMA/SARIMAX, VAR, GARCH, Prophet, LSTM/Transformers, DSGE/ABM setups Algorithmic / Quant Trading: strategy design, backtesting, execution logic, risk metrics, performance reports NLP & Sentiment for Markets: news/social sentiment pipelines (NLTK, FinBERT/FinGPT), feature engineering Data Engineering & Dashboards: ETL pipelines, feature stores, KPI dashboards (Power BI / Plotly / Streamlit) Statistical Analysis & Reports: hypothesis tests, A/B tests, policy briefs, academic‑style writeups Tech Stack Python (pandas, NumPy, scikit‑learn, statsmodels, TensorFlow/PyTorch), SQL, Optuna, MLflow, CCXT, yfinance, Prophet, Power BI, Excel (advanced), Git/GitHub. Recent Outcomes Cut MAPE of a crypto price model from 18% → 8% with LSTM + feature engineering Built a trading backtester (SOL/altcoins) with whale-tracking signals → sharpe ↑, DD ↓ Delivered an NGDP-targeting econometric dashboard for macro policy analysis (Turkey/US) Automated data pipelines & reporting for a small fund (daily email + dashboard refresh) How I Work Quick call / brief → define success metrics, timeline, deliverables Proof of concept (POC) in 1–3 days when possible Iterative build with clear commits & checkpoints Clean handoff: docs + reproducible code + short Loom walkthrough if needed Let’s Talk Need a forecast, bot, dashboard, or a fast data deep‑dive? Send me a short brief or your dataset and let’s scope a mini POC today.