Muhammad Abubakar

• Data pipelines
• Mining the data points for telecom company
• Creating data story

• Created automated solution using flask, Tableau API and Power Point API in Python to import Tableau dashboards in customized presentations for clients
• Worked on fetching customized spatial data from Tableau repository
• Built wheel and radial charts
• Tutoring on Rapid Miner and Excel

• Bloomberg API for analyzing and visualizing FX data
• NLP: worked on prior probability, conditional probability, gradient descent algorithm, TF-IDF, and co-occurrence matrix
• PCA analysis and 3D visualization using Plotly
• Model creation of attention U net (deep learning)
• Statistical techniques for regression and hypothesis (A/B testing etc.)
• Building and optimizing machine learning models in Python, Rapid Miner, and KNIME

• Governance and regulatory compliance
• Review and assessment of internal controls

Scheduled and taught in class and online courses, using interactive tools, to increase learning opportunities.

Conducted training sessions for professionals on banking standrads