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Skills

  • Planning and coordination
  • Insurance billing
  • Classification and regression model building
  • Organization
  • RFI Scanners
  • Concept development
  • Supervision
  • Deployment management
  • Troubleshooting skills
  • Process improvement

Work Experiences

  • Allowed the team to focus on data analysis.
  • Achieved metric.
  • Was in charge of all tasks delegated to me, including data analysis and team leadership.
  • Assisted 8 team members in mastering Python.
  • Analyzed 2 experiments concurrently.
  • Applied survival analysis techniques.
  • Compiled detailed project plans based on user and business requirements.
  • Learned performance reporting and project management to help with office needs.
  • Worked with others to brainstorm new framework possibilities.
  • Achieved results over two years.

Summaries

  • Accelerated decision-making by more than 43%.
  • Communicative and team-oriented, with ServiceNow expertise.
  • Results-oriented Miscellaneous professional with workflow optimization, budget management, and risk assessment strengths.
  • Proficient in promoting standard by leveraging budget management and workflow optimization knowledge.
  • Ready to apply 18 years of experience in a fast-paced environment to a dynamic new role.
  • Professional with an analytical approach to computer science and problem-solving who is disciplined and resourceful.
  • Knowledge of Jira in depth, as well as client relations and workflow optimization abilities.
  • Team leadership in system settings and team leadership in performance reporting settings.
  • Adaptable and motivated, with a strong work ethic and the ability to thrive in either a team-based or individually motivated environment.
  • Data Science Fellow with risk assessment and budget management abilities.

Accomplishments

  • Led the implementation of a custom machine learning pipeline to automate customer classification, improving classification speed by 65%.
  • Collaborated with data engineers to implement a cloud-based data warehouse in Tableau, reducing infrastructure costs by 37%.
  • Created a custom Natural Language Processing (NLP) model to categorize customer feedback, leading to faster resolution of method by 24%.
  • Designed a personalized recommendation system that improved conversion rates by 23% for Power BI.
  • Implemented a deep learning model for image classification that resulted in a 29% improvement in prediction accuracy.
  • Successfully implemented a gradient boosting machine (GBM) model for predictive analytics, increasing forecast accuracy by 81%.
  • Partnered with sales teams to analyze customer behavior data and deliver insights that contributed to a $8 revenue increase within two years.
  • Implemented a time-series forecasting model using SAP, improving demand forecasting accuracy by 31%.
  • Implemented a real-time fraud detection model in production, reducing fraudulent transactions by 49%.
  • Conducted hyperparameter tuning using GridSearch and RandomSearch, leading to model performance improvements of 18%.

Affiliations

  • Part of PyData Global community, collaborating with other data professionals to exchange insights on Python use-cases in data science.
  • 2022-present member of International Institute of Business Analysis (IIBA), contributing to strategies on integrating data insights into business process improvements.
  • Collaborator with the Fairness, Accountability, and Transparency in Machine Learning (FATML) community, focusing on reducing bias in algorithm decision-making.
  • Contributing member to the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), joining knowledge exchanges about machine learning advancements.
  • Member of the Data Science for Social Good Fellowship, leveraging machine learning models to provide insight into framework resulting in process.
  • Affiliate of AI4ALL, responsible for mentoring youth aspiring for careers in data science and AI, facilitating curriculum on Python and data analysis.
  • Active in the Kaggle Competitions platform, earning top 78% in various machine learning and data challenges.
  • Active participant in Data Science Dojo mentoring sessions, contributing by coaching early-career professionals in the field of machine learning.
  • Member of Tableau User Group, attended regular meetups to discuss best practices in data visualization and storytelling.
  • Certifications through DataCamp in Python and SQL courses to stay current on the latest data science technologies and best practices.

Certifications

  • Big Data Certification by Asana (e.g., Cloudera, Hortonworks)
  • CompTIA Security+
  • Stanford Machine Learning Certificate
  • Microsoft Office Specialist (MOS)
  • Cisco Certified Network Associate (CCNA)
  • IBM Data Science Professional Certificate
  • TensorFlow Developer Certificate
  • ServSafe
  • Machine Learning with Python Certification (by Tableau)
  • Association for Project Management (APM)

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