Usman Shoukat
Data Scientist @Marks and Spencer
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WORK HISTORY
Data Scientist @Marks and Spencer
London, GB
First Rotation: Dotcom Forecasting for Clothing and Home• Conducted forecasting analysis for clothing and home products on the company\'s dotcom platform using Databricks, PySpark, Prophet, Forecasting, SQL, and Python.• Gathered and analyzed data to generate accurate predictions for labor planning purposes.• Collaborated with cross-functional teams to align forecasting strategies with business objectives.• Monitored and adjusted forecasting models to improve accuracy.• Achieved a 7% improvement in forecasting accuracy compared to business as usual.Second Rotation: Size Personalization (Ongoing)• Currently working on implementing a size personalization project using the word2vec skip gram model.• Developing code and algorithms to incorporate personalized size and product recommendations based on customer buying history and behavior.• Optimizing and productionizing the code for scalability and efficiency.• Conducting testing and quality assurance checks to validate the effectiveness of the pipelines.• Collaborating with data scientists, engineers, and product teams to enhance the customer experience and drive business growth.Throughout both rotations, actively contributing to team meetings, sharing insights, and maintaining effective communication channels with stakeholders. Staying updated with industry trends and technologies, continuously enhancing skills to deliver innovative solutions.
EDUCATION
University of Liverpool
Master of Science - MS, Data Science and Artificial Intelligence
National University of Sciences and Technology (NUST)
Bachelor of Engineering - BE, Mechanical Engineering
ABOUT USMAN SHOUKAT
I am a data science-focused professional known for my analytical mindset, personable approach, and passion for finding solutions. With a wealth of experience in data analysis, data science, and programming, I possess a strong skill set in creative ideation, problem-solving, and machine learning. I am adept at utilizing Python and SQL to extract insights from complex datasets. As a certified expert in Data Analysis using Python and Python Data Science, and holding a master\'s degree in Data Science & AI, I bring a solid foundation of knowledge and expertise to every project I undertake.In my current role as a Data Scientist at Marks and Spencer, I have conducted forecasting analysis for clothing and home products on the dotcom platform. I have successfully gathered and analyzed data to generate accurate predictions for labor planning purposes. Collaborating with cross-functional teams, I have aligned forecasting strategies with business objectives and continuously monitored and adjusted forecasting models to improve accuracy. I am known for my agile problem-solving skills and responsible approach, and I continuously strive to enhance my skills and stay updated with industry trends and technologies. With extensive experience in data analysis, data science, and programming, along with my certification in Data Scientist Associate, Data Analysis using Python and Python Data Science, I am well-equipped to tackle complex projects. I thrive in fast-paced environments and enjoy utilizing my creative ideation and machine learning expertise to drive impactful outcomes.
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