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VideoI am an experienced data analyst with over five years of expertise working across diverse domains including healthcare, social media, financial crime, and research. My background includes hands-on experience in data labeling, annotation, and preparation for AI and machine learning projects, particularly with unstructured data and medical datasets. I am skilled in Python, R, SQL, and a range of data visualization tools such as Tableau, Power BI, and Looker, as well as machine learning frameworks like TensorFlow and Keras. I have developed and maintained machine learning models, implemented data cleaning and pre-processing pipelines, and applied algorithms for classification, regression, and clustering. My work in social media analysis and sentiment analysis involved collecting and labeling large datasets to train predictive models, while my healthcare projects required careful annotation and validation of sensitive data. I am passionate about ensuring data quality, reducing bias, and supporting data-driven decision-making, and I thrive in collaborative, fast-paced environments where accuracy and attention to detail are essential.
Image annotation project with bounding boxes for advertising content, ensuring consistent and accurate labels
Audio recording and transcription for ASR and language model training with quality validation.
Text generation and annotation for LLM training, including prompt creation, response generation, and quality validation.
Video evaluation and rating based on quality, relevance, and guideline compliance to support AI model training.
Master of Science, Data Science
Post Graduate Diploma, Education
Research Data Analyst
Senior Data Analyst
