Shanawaz Memon

Passionate about transforming data into strategic business insights, I bring over 5 years of experience across e-commerce, technology, and professional training. As a Data Analyst, I thrive on solving problems through mathematics, programming, and statistical modelling, while embracing continuous learning and new challenges.

My expertise spans SQL, Python, R, Power BI, Tableau, Excel, and data visualization, with hands-on experience in data wrangling, data warehousing, and dashboard automation. I have applied machine learning, predictive analytics, time-series forecasting, and A/B testing to deliver measurable business impact, including improving ROI, increasing sales, and optimizing demand forecasting.

I am skilled at stakeholder engagement, KPI development, and communication, ensuring that complex insights are translated into clear, actionable recommendations for decision-makers. I also bring experience in process improvement, data governance, and Agile/SCRUM delivery.

Recently, I completed an MSc in Data Science (Distinction) in the UK, strengthening my foundation with projects in AI, deep learning, large language models (LLMs), cloud solutions (Azure), and data pipeline development.

I am eager to continue leveraging my business intelligence and consulting skills to help organisations unlock value from data and make informed, evidence-based decisions.

I'm a Data & AI Specialist with over 5 years of experience using machine learning, advanced analytics, and BI tools to solve business problems in e-commerce, tech, and education. At eBay (via AASHZY), I built ML models to forecast demand, optimize inventory, and improve marketing performance—leading to a 15% reduction in overstock and a 20% ROI uplift. I’ve also delivered analytics training in Python, Power BI, and Tableau to professionals across the UK, helping upskill teams and modernize data practices. I bring a strong business mindset to data, with a track record of turning insights into strategic decisions

Master's in data science

Activities and societies: In addition to academics, I served as a Student Course Representative, facilitating monthly committee meetings, gathering and presenting student feedback, and collaborating with faculty and peers to enhance the overall learning experience, an experience that strengthened my leadership, communication, and stakeholder management skills alongside my technical development.Activities and societies: In addition to academics, I served as a Student Course Representative, facilitating monthly committee meetings, gathering and presenting student feedback, and collaborating with faculty and peers to enhance the overall learning experience—an experience that strengthened my leadership, communication, and stakeholder management skills alongside my technical development.

Completed a Master’s in Data Science (Distinction) at Liverpool Hope University, with a focus on statistical modeling, machine learning, data visualization, and cloud computing. Developed hands-on expertise in Python, R, SQL, Power BI, and Azure through projects such as patient data anonymization pipelines, AI-driven financial analysis agents, and predictive demand forecasting models.