E

Eunice Obidare

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Data Scientist at Trust bank
United States

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Résumé


Jobs verified_user 0% verified
  • Bank
    Data Scientist|Trust
    Bank
    Oct 2021 - Current (4 years 9 months)
    • Conducted extensive exploratory analysis on vast datasets, utilizing SQL and Python libraries, including Pandas, NumPy, Scikit-Learn, and Matplotlib. Extracted actionable insights that informed strategic decision-making. • Engineered robust recommender systems employing collaborative filtering techniques with the Apache Spark MLlib library. Contributed to an enhanced user experience and optimized content delivery. • Implemented a spectrum of supervised and unsupervised learning algorithms, including random forest, KNN, SVM, and logistic regression. Executed these within the dynamic Python and R environments for predictive analytics projects, consistently driving project success. • Developed comprehensive documentation for models, enca
  • Insurance
    Data Science Analyst|Loop
    Insurance
    Mar 2019 - Sep 2021 (2 years 7 months)
    • Spearheaded the integration of internal and external data tools and products, ensuring system stability and optimal performance. Maintained a harmonious data ecosystem conducive to efficient operations. • Conducted rigorous audits on initial datasets, validating the integrity of imported data. Corroborated changes against updates to data tapes, ensuring data accuracy and reliability. • Leveraged powerful big data tools, including Hadoop and Spark, to streamline the processing of extensive datasets. Contributed to the efficient extraction of valuable insights from large volumes of information. • Automated manual tasks, such as cleaning raw datasets, employ scripting languages like SQL or Python. Boosted efficiency and accuracy in data
  • M
    Data Scientist|Liberty
    Mutual|JAN2018
    May 2018 - Feb 2020 (1 year 10 months)
    • Executed predictive analytics projects with finesse, implementing cutting-edge supervised and unsupervised learning algorithms—random forest, KNN, SVM, and logistic regression—in Python and R environments. This proficiency ensured precise insights and outcomes. • Conducted comprehensive exploratory analysis on extensive datasets, utilizing SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib. This deep dive into data facilitated a nuanced understanding for informed decision-making. • Analyzed diverse data sources to unveil valuable insights into customer behavior and segmentation, contributing crucial inputs for strategic initiatives. • Pioneered the creation of collection, analysis, and reporting frameworks fr
Education verified_user 0% verified
  • H
    Associate of Science: Science
    Harry S Truman College
    Jan 2014 - Jan 2018 (4 years 1 month)
  • A
    Agile (scrum)
  • P
    PCAP certification
  • M
    Microsoft Certified Technology Specialist – SQL Server 2016