About Me
Data Analyst with a 3+ years’ experience in advanced analytics, machine learning with proficiency in SQL, Python, SAS, and data visualization tools like Tableau and PowerBI to drive strategic decision-making. Skilled in …
Data Analyst with a 3+ years’ experience in advanced analytics, machine learning with proficiency in SQL, Python, SAS, and data visualization tools like Tableau and PowerBI to drive strategic decision-making. Skilled in employing predictive modeling, clustering, and classification techniques to uncover insights and solve complex problems in fast-paced, data-intensive sectors. Passionate about combining analytical acumen and machine learning expertise to drive innovation and solutions in dynamic environments.
Experience
Data Analyst
In my capacity at Thorogood Associates, I was entrusted with leading innovative data analytics and machine learning projects to bolster strategic decision-making and enhance operational efficiencies across varied sectors. My role entailed the development of advanced statistical models for predicting sales forecasts, utilizing Spark DataFrames within Azure Databricks for effective resource allocation. I was instrumental in automating data management systems to streamline weekly sales data processes significantly. My contributions extended to deploying solution updates in production environments through Azure DevOps, ensuring seamless integration and operational continuity.
Data and Analytics Consultant
Led a pivotal project for a leading pharmaceutical company, developing a statistical model with Spark DataFrames in Azure Databricks for 5-year sales forecasts to optimize resource allocation.
Incorporated Exponential Smoothing (ETS) for enhanced time series forecasting, achieving a potential 7% reduction in fixed costs.
Developed an automated data management system using the Azure stack (Logic Apps, Data Factory, Databricks) replacing manual procedures for ingestion, processing, modeling, and reporting of weekly sales data thereby reducing the data flow time significantly.
Extensively utilized SQL for extracting significant volumes of financial data from databases.
Developed and executed custom stored procedures for precise data mapping from multiple sources.
Enabled the transformation of structured data into data cubes.
Led an initiative using Power BI to ingest, refine, and present data through dashboards, aiming to derive engagement insights for an online retailer’s webpage.
Pioneered the deployment of solution updates to production environments using Azure DevOps, ensuring seamless, secure transitions and operational continuity.