an application developer and professional time series forecaster.
I’m a senior energy quant analyst focused on forecasting and analytics for electricity markets, building end-to-end solutions for data collection, modeling, and decision support. I work hands-on with time-series forecasting, feature engineering, backtesting, and performance optimization—turning real-world market data into actionable insights.
Alongside my domain work, I also take on freelance application development across different industries. I can build custom tools and applications in Python, C++, C#, and Java, including GUI-based desktop software. I’m experienced in API-driven data ingestion, automation pipelines, and structured reporting (e.g., Excel outputs). I also develop computer vision / image-processing workflows and can train models for tasks like detection, segmentation, or image quality enhancement.
If you need a reliable developer who can handle both data-heavy forecasting projects and practical application development, I can help you deliver a clean, maintainable solution from idea to deployment.
Work Terms
I work with clear milestones and deliverables. Before starting, I confirm the scope, inputs (data / APIs / sample files), and the expected output format. For medium/large projects, I prefer milestone-based payments (e.g., initial setup → first working version → final delivery).
Availability: Mon–Sat, typically 09:00–20:00 (GMT+3). I usually reply within a few hours.
Communication: Chat messaging is preferred. For complex tasks, I can provide a short written plan and progress updates.
Revisions: Minor revisions and adjustments are included. Major scope changes (new features, new modules, new datasets) may require a separate milestone.
Delivery: Clean, maintainable code with basic documentation and run instructions. Source code is delivered at the end of each milestone; executables/build outputs can be provided when applicable.
Requirements: Please share any existing code, sample data, API documentation/keys (if needed), and your target platform/OS early to avoid delays.