Description

Curiosity led me to the dynamic field of data science, and I've been captivated by it ever since. I am genuinely excited about transforming raw data into meaningful insights and using them to empower individuals and businesses.

Skilled in leveraging data-driven insights to optimize strategies, drive revenue growth, and enhance operational efficiency. Experienced in data analysis, statistical modeling, visualization, and machine learning techniques.

Let's collaborate to uncover valuable insights and drive success by harnessing the power of data-driven strategies.

Languages

Spanish
Native or bilingual
English
Fluent
Italian
Basic
French
Basic

Workplace preferences

Can work on-site

London (up to 10km)

Freelance
Data Scientist/Analyst
RETAIL (LARGE RETAILERS)
June 2023 - Today (3 years)
London, United Kingdom
● Implemented computer vision techniques used in Python to automate the conversion of images to text (odometer) using OpenCV for image processing, YOLO and EasyOCR for digit recognition. This streamlined the process, eliminating manual tasks and reducing working time by 99%.
● Built a Python script utilizing AudioSegment and Whisper to efficiently transcribe audio to text, reducing the manual effort of listening to audio. Achieved an accuracy of over 90% in predicting meeting conversations.
● Developed and executed ETL processes using JavaScript in Google App Script within Google Sheets, resulting in a 95% reduction in report creation time.
Pandas numpy NLP Deep Learning datase numeracy Problem solving Statistics Data visualization Data science Data analysis Business analysis
Shell
Pricing Analyst
RETAIL (LARGE RETAILERS)
October 2020 - June 2022 (1 year and 9 months)
● Provided weekly visual report updates using Excel and PowerPoint to showcase findings and insights.
● Designed a process to support Finance, Operations, and Marketing teams with operation details, focusing on profit sources and reducing negative impacts on profit by 40%.
● Analyzed trends using Excel to identify main patterns in competitors' pricing and developed strategies to increase competitiveness in the market.
Microsoft Excel SAP Business Objects
Shell
Performance & Delivery Manager
RETAIL (LARGE RETAILERS)
May 2020 - October 2020 (5 months)
● Monthly forecast analysis for financial reporting with 90-94% accuracy, aiding in precise income estimation.
● Implemented 5 features in the reporting system, reducing category managers' metric tracking time by 20%.
● Efficiently managed data migration for inventory and catalog, enabling smooth system implementation for 2 stores and allowing the IT team to concentrate on deployment.
Microsoft Excel Microsoft Powerpoint SAP Business Objects