Results-driven Data Scientist passionate about machine learning, deep learning, and generative AI. Proficient in statistical analysis, data manipulation, and the application of advanced algorithms. Committed to leveraging neural networks to unlock actionable insights, predict trends, and develop innovative AI solutions. Experienced in data-driven decision-making and aspiring to contribute expertise to pioneering projects.
Experience
Data Analyst Consultant
FUJI ACADEMY
Developed and implemented machine learning models to assess the quality of annotations, ensuring accurate and consistent data labeling. Motivated and led a high-performing team through training sessions, emphasizing best practices in annotation and fostering a culture of continuous improvement in data quality. Identified and addressed inefficiencies in the annotation workflow, implementing streamlined processes to enhance team efficiency. Established systematic review processes, providing detailed feedback to annotators to elevate annotation quality.
Data Science Intern
BUGENDAITECH
Conducted comprehensive data manipulation and in-depth analysis, extracting valuable insights to inform strategic decision-making. Developed an intuitive user interface using the Streamlit framework, showcasing various graphs within the dataset for enhanced data visualization. Demonstrated proficiency in cloud computing with hands-on experience on major platforms such as AWS, GCP, and Azure. Acquired extensive knowledge of large language models (LLM), including Langchain and lamaIndex. Led generative AI projects, specializing in text-to-image generation using the Stable Diffusion model. Designed and implemented interactive dashboards using Tableau for effective data visualization and reporting. Contributed to data annotation and augmentation for object detection models, significantly improving accuracy and overall performance.
Associate Quality Services
AMAZON DEVELOPMENT CENTER
Executed comprehensive functional testing using a combination of manual and automation testing techniques. Proficiently utilized tools such as JIRA, Testrail, and Confluence to manage testing processes and documentation. Applied expertise in various functional testing methods, including Regression, BAT (Business Acceptance Testing), and Adhoc testing. Thoroughly understood and analyzed test requirements to ensure effective test planning and execution. Developed detailed test scenarios, meticulously crafted test cases, and curated test data to validate system functionality. Proactively identified and triaged defects, ensuring efficient communication within the testing team and other stakeholders.
Education
IMARTICUS LEARNING
Post Graduate Program in Data Analytics and Machine Learning
ANNA UNIVERSITY
Bachelor of Engineering
Electrical and Electronics Engineering
Licenses & Certifications
Probability and Statistics for Business and Data Science
udemy
Introduction to SQL Basics
Great Learning Academy
SQL basics Assessment
Hacker Rank
Data Analysis using Excel
Great Learning Academy
Data Science Virtual Experience Programme (British Airways)
Forage