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Saul Chirinos

Saul Chirinos

Data Analyst

Loblaw

Technologies

My Portfolio Highlights

My New Track

SQL for Business Analysts

My New Course

Introduction to Python

My New Track

SQL for Business Analysts

Quantitative strategist, harnessing the power of data for strategic advantage.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

course

Introduction to R

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

DataCamp Data Scientist with Python

DataCamp SQL Fundamentals Track

KPMG Virtual Experience Program Participant

Project Management Institute Disciplined Agile Scrum Master

Cognizant Cognizant Virtual Experience Program Participant

BCG BCG Virtual Experience Program Participant

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Introduction to R
Data Manipulation with pandas

My Work Experience

Where I've interned and worked during my career.

Loblaw Companies Limited | Jan 2023 - Aug 2023

Data Science Analyst

• Piloted a solution that leveraged SQL and Python to model sales data using statistics and machine learning, saving $50K in lost sales for 6 stores with inaccurate stock. Collaborated cross-functionally and shared a dashboard report with stakeholders. • Optimized a 13 TB data processing pipeline for faster solution delivery and scalability by 95% using BigQuery. • Redesigned and implemented a data pipeline that integrates with a forecasting dashboard using BigQuery and Power BI, streamlining decision-making for stakeholders and boosting warehouse order forecast accuracy by an average of 10%. • Leveraged SQL and Power BI to identify high-volume store orders for direct shipment to bypass warehouse processing. Designed a recursive algorithm to map product routes from origin to stores using Python and Polars. • Conducted time-series and root cause analysis on operational KPIs impacting product availability in stores. Utilized advanced data analysis and hypothesis testing to determine potential causal factors.
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University of Calgary | Jan 2022 - May 2022

Research Assistant

Created a Python web scraper that returns the IDs for medical papers given the name of the publication resulting in an efficiency increase of 60%. Assisted in 4 research studies and utilized Python and Excel to create data visualizations ready for publication. Data entry and validation on 2,000+ research samples using Excel, ensuring integrity, accuracy, and compliance.

My Education

Take a look at my formal education

Bachelor in EconomicsUniversity of Calgary | 2022

About Me

Saul Chirinos

Recent graduate from the University of Calgary in Economics capable of providing analytical insights and solving business problems with machine learning.

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