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Mariam – Python, SQL, Microsoft Power BI, experts in Lemon.io

Mariam

From Germany (GMT+2)

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Data AnalystSenior
Hire developer
7 years of commercial experience
Automotive
Business intelligence
Data analytics
Healthcare
Human resources
Information services
Logistics
Machine learning
Manufacturing
Supply chain
NLP software
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Mariam – Python, SQL, Microsoft Power BI

Mariam is a Senior Data Analyst with over 6 years of commercial experience. She is a perfect match for your project, blending great soft skills with technical proficiency and prior exposure to a wide range of aspects, from ingestion to analysis and dashboarding from scratch. Mariam faces the challenges head-on and tackles them with effective solutions. Her background includes working with both large corporations and small startups, showcasing her ability to adapt to different environments.

Main technologies
Python
4 years
SQL
6 years
Microsoft Power BI
5 years
Tableau
3.5 years
Cloud Computing
2 years
Additional skills
AWS
NLP
Pandas
NumPy
Business intelligence
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Global Data Analyst
Oct 2022 - Feb 20241 year 4 months
Project Overview

The client was the world’s leading provider of products and services for individuals with renal diseases. The aim of the project was to develop a sustainable process to streamline and bridge the gap of HR data analysis across multiple countries, ensure data integrity, and validate data accuracy for effective reporting and data-driven decision making.

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Responsibilities:

Mariam successfully implemented the following tasks:

  • managed the extraction, transformation & loading of EMEA data;
  • automated data integration processes;
  • data migration to cloud-based storage;
  • collaborated with local HR stakeholders across EMEA countries;
  • designed data analysis & reporting solutions.
Project Tech stack:
AWS
SQL
Tableau
Data Analyst
Sep 2021 - Sep 20221 year
Project Overview

The client was a renowned manufacturer of modern, luxurious vehicles. Transistioning and adoption of new data processing and analysis was a key factor towards achieving their Reimagine strategy, to transform its industrial operations within the supply chain department.

The purpose of the project was to build and develop statistical analysis on how they build and sell their vehicles, and how that differs from market to market & country to country: from sourcing and delivering parts through to constructing & manufacturing the car, right the way through to where they were being distributed and how they were sold.

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Responsibilities:

Among others, Mariam achieved the following:

  • introduced a more robust data processing methods;
  • integrated data from various sources;
  • designed & maintained dashboards and reports;
  • optimized the supply chain processes;
  • collaborated with various internal & external stakeholders;
  • facilitated an open communication with the suppliers.
Project Tech stack:
Tableau
SQL
Python
Business Intelligence Analyst
Aug 2018 - Sep 20202 years
Project Overview

The client dealt with countless products moving through a complex network of suppliers, warehouses and distribution centers before reaching the end customers. The main goal was to analyze ways to optimize the company's operations, enhance efficiency, reduce costs, and improve customer satisfaction, leveraging data analytics.

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Responsibilities:

Mariam's carried out the following responsibilities:

  • collaborated with stakeholders to identify the Key Performace Indicators(KPIs);
  • gathered and integrated data from various sources;
  • created interactive dashboards & reports to visualize key metrics;
  • built predictive analysis to forecast future patterns;
  • resulted to the enchancment of operational efficiency, informed decision-making within the stakeholders, and improved customer satisfaction.
Project Tech stack:
Microsoft Power BI
Google Analytics
SQL
Machine learning
Data Modeling
Business intelligence

Education

2018
Computer science with Mathematics
Bachelors
2021
Data Science & Computational Intelligence
Masters

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