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Data Engineer with 5 years of expertise in architecting, building, and optimizing scalable data pipelines and architectures. Proficient in Apache Spark, Apache Kafka, and Hadoop for big data processing tasks. Experience with cloud platforms including Microsoft Azure and Google Cloud, utilizing services like Azure Data Factory and Google Cloud Dataproc. Skilled in implementing and optimizing data warehouse solutions such as Snowflake, Redshift, and Azure Synapse Analytics. Developed robust ETL/ELT processes using tools like Apache Airflow, Informatica, and Azure Data Factory. Proficient in data visualization tools like Tableau, Power BI, and Python libraries. Integrated machine learning models and algorithms using TensorFlow, Scikit-learn, and PySpark. Skilled in data mining techniques and experienced in data modeling. Utilized statistical analysis, hypothesis testing, and predictive modeling techniques to derive actionable insights. Developed database architectural strategies at the modeling, design, and implementation stages.

Ambitious 4th-year Computer Science student with a passion for building AI-driven, real-world applications. Recognized by AAUP as an official university success story. Strong background in full-stack development, machine learning, and UX/UI design. Creator of multiple high-impact projects . Adept at problem-solving, rapid learning, and system architecture.

Adept Machine Learning Engineer from TCS , known for enhancing decision-making processes by integrating advanced models into mainframe systems. Collaborates effectively across teams, with proficiency in Python and a knack for innovative problem-solving.

Experienced Data Scientist with a strong background in health care data. Proficient in Python, R, and cloud platforms AWS and Azure. Skilled in ML, including neural networks, regression, and clustering. Track record in financial model optimization, fraud detection, and customer analytics. Demonstrated ability to manage end-to-end project lifecycles and deliver insights from large-scale datasets, leveraging tools such as SciKit-learn, TensorFlow, and PowerBI. Seeking a challenging role in data science which leverage my expertise in machine learning, big data analytics, and financial modeling to drive business insights and innovation.


  Over 4 years of professional experience in Data Science and Data Analytics, specializing in Artificial Intelligence, Deep Learning, Machine Learning, Data Mining, and Statistical Analysis.
  Proficient in advanced analytics techniques, including machine learning, deep learning, and natural language processing, for solving complex business challenges.
  Skilled in data acquisition, cleaning, and transformation, utilizing data manipulation libraries such as Pandas, NumPy, and SQL.
  Experienced in the full data science project lifecycle, including data extraction, cleaning, statistical modeling, and visualization with large structured and unstructured datasets.
  Demonstrated expertise in building and fine-tuning machine learning models for regression, classification, and clustering, using ScikitLearn, TensorFlow, and PyTorch.
  Proficient in applying NLP techniques for sentiment analysis and extracting insights from unstructured text data to improve decision-making processes.
  Created compelling data visualizations and dashboards using Matplotlib, Tableau, and Power BI to effectively convey insights.
  Familiar with big data technologies such as Hadoop, Spark, and AWS services for efficient handling and analysis of large-scale datasets.


Andrew Ottesen

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Associate of Applied Science - Computer Science

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Associate of Applied Science - Computer Science

Bachelor of Science - Computer Science

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