Experienced data scientist with three years in the field. Proficient in data analysis, machine learning, and making predictions. Strong skills in Python, SQL, and PowerBI. Proven ability to turn data into actionable busi…
Experienced data scientist with three years in the field. Proficient in data analysis, machine learning, and making predictions. Strong skills in Python, SQL, and PowerBI. Proven ability to turn data into actionable business insights. Effective collaborator with diverse teams.
• Produced quality product data meeting daily targets. • Removed errors in product data to ensure QC approval. • Followed product extraction standards based on GfK standards. • Suggested improvements in product data development. • Maintained positive working relationships with team members. • Gained expertise in product categories, providing training to other team members. • Monitored Defect Rate of Production in assigned categories. • Completed special tasks/projects as assigned by lead/manager.
Produced quality product data meeting daily targets.
Removed errors in product data to ensure QC approval.
Followed product extraction standards based on GfK standards.
Suggested improvements in product data development.
Maintained positive working relationships with team members.
Gained expertise in product categories, providing training to other team members.
Monitored Defect Rate of Production in assigned categories.
Completed special tasks/projects as assigned by lead/manager.
Automated Excel worksheets as per client requirements, ensuring efficient data processing and reporting.
Implemented techniques for handling missing and duplicate values in large datasets, enhancing data accuracy.
Utilized Matplotlib, Seaborn, and Pandas to create insightful visualizations for large datasets.
Applied Selenium for dynamic website automation and BeautifulSoup for static website data extraction.
Employed statistical sampling techniques for representative samples in analysis.
Implemented melting and pivot techniques for handling complex data structures.
Applied join and merge techniques to integrate information from diverse datasets.
Conducted correlation analyses to identify factors influencing target variables.
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