Experienced Data Analyst with over two years of proven expertise in interpreting and analyzing data to facilitate successful business solutions. Possessing a strong foundation in statistics, mathematics, and analytics, I…
Experienced Data Analyst with over two years of proven expertise in interpreting and analyzing data to facilitate successful business solutions. Possessing a strong foundation in statistics, mathematics, and analytics, I leverage this knowledge to drive insightful conclusions. Demonstrating a keen understanding of business operations, I utilize advanced analytics tools to conduct thorough data analysis. Additionally, I am a passionate machine learning engineer with more than a year of hands-on experience in predictive modelling and data mining, continuously striving to innovate and optimise data-driven strategies.
My role at DAZOQ AB involved collecting, analyzing, and interpreting large sets of data to identify trends, patterns, insights and implementing a machine learning algorithm that optimized production hours, showcasing not only my technical proficiency but also my ability to collaborate seamlessly with cross-functional teams.
Acquired raw data from diverse sources and performed comprehensive data preparation, including processing, cleaning, and transformation to meet application requirements.
Demonstrated expertise in data management by handling missing data, managing NaN values, and removing duplicate records to ensure data integrity.
Utilised advanced data analysis techniques to uncover crucial patterns, correlations, and insights essential for product development and AI applications, focusing on areas for AI-driven value addition to customers.
Created data visualisations to effectively communicate insights and findings to stakeholders, enhancing understanding and decision-making processes.
Deployed various algorithms for effective energy data analysis, including Unsupervised Model (Hidden Markov Model) for Production Hour Labeling, Supervised Model (Decision Tree) for Energy Usage Prediction, and Point Anomaly Detection for identifying abnormal equipment performance.
Developed a systematic workflow to generate detailed reports encompassing energy consumption, peak hours, and related expenses, facilitating the deciphering of energy usage trends and identification of avenues for cost reduction.
To assess the maintenance needs and costs of the cemetery in Frankfurt, Germany, we'll use geospatial data analysis.
Furthermore, we'll generate a visualization to depict the cost analysis graph.
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