Artificial Intelligence Engineer and Data Scientist with experience in AI and data science internships across machine learning, forecasting, data preprocessing, exploratory data analysis, and software support. Experience…
Artificial Intelligence Engineer and Data Scientist with experience in AI and data science internships across machine learning, forecasting, data preprocessing, exploratory data analysis, and software support. Experienced with tools and technologies including OpenAI, Vertex AI, TensorFlow, Jupyter Notebook, PyCharm, Python, SQL, and web development technologies, with demonstrated teamwork, communication, problem-solving, and adaptability.
Contributing to the development and improvement of algorithms using cutting-edge technologies such as OpenAI, Vertex AI, and TensorFlow.
Working closely with cross-functional teams, including software engineers, data scientists, and project managers, to align AI initiatives with broader project goals.
Contributing to the documentation of the development process, ensuring comprehensive records of project methodologies and milestones.
Explored sales prediction using machine learning and forecasting product purchases, considering factors like annual salary, credit card debt, and net worth.
Developed a machine learning model for identifying fraudulent credit card transactions by performing data preprocessing, class imbalance handling, and evaluation using precision, recall, and F1-score metrics.
Employed regression techniques to predict movie ratings utilizing data preprocessing, analysis, and feature engineering.
Applied classification techniques to the Titanic dataset to predict passenger survival based on attributes like age, gender, class, fare, and more.
Developed and executed a machine learning algorithm aimed at identifying prospective customers for a forthcoming term deposit product for a bank, achieving high accuracy levels.
Conducted comprehensive exploratory data analysis to assess the investment suitability of two competing cab companies, enabling strategic decision-making.
Independently undertook and successfully completed data science projects, monitored project progression, and identified potential roadblocks.
Learned to utilize popular data science tools such as Jupyter Notebook and PyCharm to streamline project development and ensure the accuracy and consistency of machine learning models.
Successfully installed and configured software on 20+ devices/computers, ensuring smooth and efficient performance of all systems.
Diagnosed complex software and hardware issues, utilizing problem-solving skills to quickly resolve technical challenges and minimize end-user downtime.
Provided effective technical support to 50+ employees, troubleshooting issues and providing clear and concise instructions to ensure maximum productivity.
Acted as the primary point of contact for managing company devices and IT inventory, maintaining accurate records, and ensuring all equipment was properly maintained and updated to meet business needs.
Developed an innovative and practical software system that addressed specific challenges faced by the company's HR department, resulting in increased efficiency and improved overall performance.
Successfully reviewed and optimized existing software, reducing payroll calculation time from hours to just 10 minutes for 150+ employees, resulting in significant time savings and increased accuracy.
Utilized Scrum Master methodology to effectively automate repetitive tasks, resulting in streamlined operations and increased productivity across the organization.
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