Machine Learning & Data Science for Time Series Applications

Contact for pricing

About this service

Summary

I help organizations unlock value from time series data through machine learning and data-driven analytics. With a Ph.D. in Electrical Engineering, I bring deep expertise in applying advanced modeling to energy systems and market data for smarter, data-informed decisions.

What's included

  • Data Exploration & Preprocessing Report

    Comprehensive analysis of raw data including cleaning, transformation, and feature engineering steps. The report highlights data insights, trends, and preparation pipelines for modeling.

  • Predictive Model Development

    Custom machine learning models for time series classification, forecasting, or anomaly detection. Includes model design, training, validation, and performance evaluation.

  • Analytical Insights & Visualization Dashboard

    Interactive visualizations and summary dashboards to communicate key results, model outputs, and decision-making insights using tools such as Python, Plotly, or Power BI.

  • Technical Documentation & Recommendations

    Detailed technical documentation including methodology, model performance, reproducibility steps, and actionable recommendations for implementation or improvement.


Skills and tools

Data Analyst

Data Modelling Analyst

Data Scientist

Keras

Keras

Python

Python

scikit-learn

scikit-learn

TensorFlow

TensorFlow