Time Series Analysis

From forecasting and anomaly detection to real-time dashboards and business intelligence — I turn your sequential data into clear, actionable insights.

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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.

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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.

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Contact Me

ulises.roennau@gmail.com

+1 (704) 884-6814

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