Time Series Analysis
Focus:
Forecasting, anomaly detection, signal extraction, KPIs, performance monitoring, and business intelligence across finance, operations, health, marketing, and more
Techniques:
Python (pandas, scikit-learn, statsmodels), machine learning, custom feature engineering, model evaluation, and time series decomposition (trend, seasonality, etc.)
Deliverables:
Interactive dashboards, clear reports, reproducible code, API/data pipeline integration, and actionable insights tailored to your data
Who:
Businesses, researchers, students, and teams seeking to extract real value and understanding from time series and sequential data
Where:
Remote/online collaboration worldwide, with transparent updates and secure data handling
Custom pricing · Hourly/project rates available
Get in touch for a free consultation or to discuss your analytics project!
Spotlight: Energy Data Analysis at Splight
At Splight, I developed tools to analyze and forecast grid congestion, leverage locational marginal pricing (LMP), and create real-time dashboards for energy transmission line analytics—demonstrating expertise in high-impact, operational time series solutions for the energy industry.