As a Trainee Data Scientist at DenovoNet, I am gaining hands-on experience in analyzing large datasets, building predictive models, and extracting actionable insights to support business decisions. My responsibilities include:1- Collaborating with cross-functional teams to identify data needs and define analytics requirements.2- Using statistical analysis, machine learning algorithms, and data visualization techniques to solve complex business problems.3- Assisting in the design and implementation of data pipelines and ensuring data integrity.4- Gaining proficiency in programming languages such as Python, along with tools like SQL, Power BI, and Tableau.5- Actively participating in the deployment of data-driven solutions to optimize business performance.This role allows me to sharpen my skills in data analytics while contributing to impactful projects that drive innovation within the company.

Key Responsibilities:Independent Research: Conducting comprehensive research to develop and apply BDL approximation methods for the detection of diabetic retinopathy, with a particular emphasis on uncertainty quantification.Data Analysis: Utilizing advanced statistical and machine learning techniques to analyze medical imaging data, ensuring robust and reliable results.Literature Review: Performing extensive literature reviews to identify current gaps and innovations in the field of diabetic retinopathy detection and uncertainty quantification.Manuscript Preparation: Writing a manuscript for publication in a peer-reviewed journal, detailing the methodology, findings, and implications of the research.Collaboration and Supervision: Working closely with and receiving guidance from two academic advisors to ensure the research meets high academic and scientific standards.Technical Skills: Applying and enhancing skills in Python, TensorFlow, and other relevant software tools and libraries to implement and test BDL models.Achievements:Developed a novel approach to quantify uncertainty in diabetic retinopathy detection, contributing to more accurate and reliable diagnostic tools.Successfully synthesized and analyzed large datasets, demonstrating proficiency in data management and statistical analysis.Authored a detailed manuscript aimed at publication, showcasing the research findings and their potential impact on the medical and AI communities.

Experienced Teacher Assistant in Artificial Intelligence with a proven track record of supporting and enriching educational experiences. Leveraging my in-depth knowledge gained during my BSCS studies at the University of Management and Technology Lahore (2020-2024), I've contributed to fostering a dynamic learning environment. Passionate about AI's potential to reshape industries, I've assisted students in grasping complex AI concepts, facilitated hands-on projects, and collaborated with faculty to enhance curriculum. Committed to nurturing the next generation of AI enthusiasts and promoting innovation in technology.