About Me
I’m currently employed as a Data Scientist II, currently immersed in the world of Analytics, with a focus on projects at the intersection of association-football, gaming, and entertainment. My journey in data science is driven by a passion for applying statistics, machine learning, and artificial intelligence across diverse fields, especially in sports, food, and entertainment.
Developing Analytical Solutions with a Passion.
I have been employed at Verisk Analytics, Inc. (Insurance Services Office) since February 2021 and gathered a plethora of experiences to shape my skillsets and knowledge.
My day-to-day responsibilities with Verisk include data transformation, data cleaning, feature selection, exploratory analysis, modelling and evaluation.
Some of my achievements with Verisk include:
- Pioneering the machine learning integration in the AER team, designing a novel neural network and classification model for identifying smoke plumes from aerosols in satellite images, setting a new standard for environmental analysis as the team’s first endeavor in this domain.
- Attained a remarkable 3% model lift by enhancing wind-related pure premium models, optimized with demographic data and proprietary datasets, surpassing the current in-production model.
- Architected and established Python scripts to set up ETL process pipeline and statistically downscale data to ERA5 resolution and developed a comprehensive database via SQLite to store and forecast time series climate data for 1000 megacities worldwide.
- Python
- S3, EC2
- SQL, OracleDB
- Jupyterlab, Databricks
- Tableau, PowerBI
- Excel, Word, Powerpoint
- Machine Learning, Statistics, AI
- Snowflake
- R
Strengths in Action
As a versatile professional with expertise in data science, analysis, and testing, I blend analytical rigor with technical proficiency. I transform raw data into actionable insights, identify key trends, and optimize processes. My experience in testing ensures solutions are thoroughly validated, reliable, and aligned with business goals. From data-driven decision-making to rigorous validation, I ensure accuracy and efficiency at every step of the project lifecycle.
Statistics & Machine Learning
- Skilled in statistical concepts and machine learning, with expertise in data imputation, feature engineering, ranking, and preliminary analysis to develop, optimize, and deploy high-performance predictive models for actionable insights.
Analytics & Optimization
With over 5 years of experience as a Business Analyst and Data Scientist, I have developed a strong ability to identify process inefficiencies, investigate root causes, and implement data-driven solutions that optimize performance and outcomes.
Web Development
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Leadership
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Work Experience
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My Portfolio
What My Clients Says
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