Summary
Overview
Work History
Education
Skills
Work Availability
Timeline
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Sheila Malasechevarria

Sheila Malasechevarria

Data analyst
Montréal,Quebec

Summary

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans.

Overview

7
7
years of professional experience
6
6
years of post-secondary education

Work History

Data and Insights Analyst Sr.

Karvi Argentina
05.2021 - 09.2021
  • Carried out day-day-day duties accurately and efficiently.
  • Identified issues, analyzed information and provided solutions to problems.
  • Actively listened to customers, handled concerns quickly and escalated major issues to supervisor.
  • Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
  • Produced monthly reports using advanced Excel spreadsheet functions.
  • Developed tables, views and materialized views using SQL.
  • Recommended data standardization and usage for protection of data integrity.
  • Power BI Production and Reporting
  • Automation, Webscrapping and ETL with Python
  • Coordinate in the implementation of the Data Warehouse.
  • Generate documentation
  • Coordinate data tasks for different business units in the Product department
  • Identify data resources
  • Define criteria for reporting data
  • Generate templates and supporting materials for dashboards

Data Analyst

Darwoft
10.2021 - 12.2021
  • Participated in requirements meetings and data mapping sessions to understand business needs.
  • Coordinated statistical data analysis, design and information flow.
  • Recommended data standardization and usage for protection of data integrity.
  • Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs.
  • Modeled predictions with feature selection algorithms.
  • Generate queries in the project database
  • Generating indices and indicators}
  • Do exploratory data analysis and clean-up with Python
  • Research and define the machine learning model.

Data Analyst

Karvi Argentina
05.2021 - 09.2021
  • Participated in requirements meetings and data mapping sessions to understand business needs.
  • Coordinated statistical data analysis, design and information flow.
  • Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.
  • Webscrapping with Python
  • Generate documentation
  • Identify data resources
  • Contribution to problem solving by providing appropriate solutions and formulating proposals for improvement.

Mentor Teacher

CODERHOUSE
11.2020 - 05.2022
  • Demonstrated respect, friendliness and willingness to help wherever needed.
  • Monitored student classroom and outdoors activities to promote student safety.
  • Documented student behaviors, interventions and outcomes to enable lead teacher to address pertinent issues.
  • Provided assistance to faculty and staff by teaching classes, conducting orientation programs and issuing transcripts

Management Analyst

Mobel Bock
06.2020 - 05.2021
  • Restructured procedures
  • Compiled research data and gave professional presentations highlighting finds and recommended optimizations.
  • Provided clerical support to company employees by copying, faxing and filing documents.
  • Responded to inquiries from callers seeking information.
  • Documented cash, credit, fixed assets, accrued expenses and line of credit transactions.
  • Completed daily cash functions like account tracking, payroll and wage allocations, budgeting, donating and cash and banking reconciliations.

Data Analyst and Researcher

Chubut Province Statistics and Census Directorate
05.2017 - 06.2020
  • Generate reports in different formats
  • Calculate Product Geographical Intern
  • Data cleaning
  • Search to do Poverty Studies as part of the Census of Provence of chubut
  • Analyze data with Python, R and SPSS. At the end of my experiment I started working with Python.
  • Coordinated statistical data analysis, design and information flow.
  • Gathered and organized information for research purposes.
  • Built library of models and reusable knowledge-base assets to produce consistent and streamlined business intelligence results.

Education

BBA - Economy

San Juan Bosco University From Patagonia
Trelew
03.2010 - 06.2016

No Degree - Managament And Administration

Luis Piedra Buena Technical School
Trelew
03.2007 - 11.2009

Skills

  • Agile Methodologies
  • Data Storytelling
  • Google Analytics
  • Python
  • Machine Learning
  • Excel
  • SQL
  • Financial and Economic Data
  • Compiling Data
  • Data Visualization and Presentations
  • Reusable Knowledge Assets
  • Data Science with Python Programming
  • SPSS
  • AWS Sagemaker
  • Airflow
  • Business Requirements
  • Customer Communication
  • Reporting Tools
  • Jupyter Notebook
  • User Acceptance Testing (UAT)
  • Technical Design Documentation
  • Microsoft Power BI
  • Presentation Delivery
  • Usability Testing

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Data Analyst

Darwoft
10.2021 - 12.2021

Data and Insights Analyst Sr.

Karvi Argentina
05.2021 - 09.2021

Data Analyst

Karvi Argentina
05.2021 - 09.2021

Mentor Teacher

CODERHOUSE
11.2020 - 05.2022

Management Analyst

Mobel Bock
06.2020 - 05.2021

Data Analyst and Researcher

Chubut Province Statistics and Census Directorate
05.2017 - 06.2020

BBA - Economy

San Juan Bosco University From Patagonia
03.2010 - 06.2016

No Degree - Managament And Administration

Luis Piedra Buena Technical School
03.2007 - 11.2009

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Sheila MalasechevarriaData analyst