Williams Ali

Meticulous Data Scientist accomplished in compiling, transforming, and analyzing complex information through the software. Expert in machine learning and dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Experienced in Data Science with over 2 years of experience in data visualization, machine learning, and deep learning. Excellent reputation for resolving problems and improving customer satisfaction. To seek and maintain a full-time or part-time position that offers professional challenges utilizing interpersonal skills, excellent time management, and problem-solving skills.   

Detail-focused Data Analyst with knowledge in data warehousing process validation and business needs analysis. Proven to understanding customer requirements and translating them into actionable project plans. Dedicated and hard-working with a passion for Big Data.

• Experience in Python Programming skills (NumPy, SciPy, Pandas, Matplotlib)
• Experience and knowledge of relational databases and SQL, Excel
• Data Analytics Visualizations: Power BI, Tableau, Matplotlib, Seaborn
• Machine Learning: sci-kit learn, TensorFlow, Keras, PyTorch
• Selecting features, and building and optimizing classifiers using machine learning techniques.
• Experience with Natural Language Processing using NLT and sci-kit learn.
• Experience with digital marketing analytics (Google Analytics, Google Data Studio, Microsoft power bi)
• Processing, cleansing, and verifying the integrity of data used for analysis
• Experience with common skills, such as distributions, statistical testing, regression, etc.
• Experience In statistical tools like SAS, SPSS, Excel, etc.
• Worked with stakeholders to develop quarterly roadmaps based on impact, effort, and test coordination.
• Utilized advanced querying, visualization, and analytics tools to analyze and process complex data sets,
• Applied statistical and algebraic techniques to interpret key points from gathered data.
• Created and implemented new forecasting models to increase company productivity.
• Built company A/B testing frameworks to test model quality.
• Tested and validated models for the accuracy of predictions in outcomes of interest.
• Develop intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
• Assessed the accuracy and effectiveness of new and existing data sources and data analysis techniques.
• Discovered stories told by data to present information to scientists and business managers.
• Developed tables, views, and materialized views using SQL.
• Applied loss functions and variance explanation techniques to compare performance metrics
• Implemented randomized sampling techniques for optimized surveys
• Modeled predictions with feature selection algorithms
• Improved data collection methods by designing surveys, polls, and other instruments.
• Ran statistical analyses within the software to process large datasets.
• Compiled cleaned and manipulated data for proper handing

2015-05 – 2019-12            B. sc. (ED) Statistics/Computer

The Federal University of Agriculture – Makurdi Benue State Nigeria