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Kan vara tillgänglig

(Uppdaterat 2023-10-10)

Data Engineer/Scientist/Analyst

Uppsala

Nybörjare Svenska, English

Databases, SQL
Machine Learning
Python

Kontrakt

Kompetenser (29)

Google Cloud

PANDAS

GCP

BigQuery

Business Intelligence

Excel

VISUALIZATION

Marketing

FORECASTING

DOCUMENTATION

STATISTICS

Docker

ONBOARDING

Kubernetes

Project Management

SCRIPTING

Amazon Web Services

Kanban

MONETIZATION

MARKETING DEPARTMENT

SYSTEMS ENGINEERING

AWS

BUDGETING

PRESALES

PAYMENTS

Terraform

PySpark

Recruitment

VBA

Sammanfattning

Yama has extensive experience in data, analysis and cloud solutions, consistently delivering business
value by solving complex data challenges. His expertise includes effective communication, scoping welldefined
projects, and ensuring timely delivery, all of which have become hallmarks of his work.

INDUSTRY
banking, manufacturing, retail, e-commerce, start-up

ROLE
data engineer, data scientist, machine learning engineer, data analyst, devOps engineer, cloud developer

PERSONALITY
driven, empathetic, likes learning new technology, enjoys an active and healthy lifestyle

TECH
Code Python Java R SQL

Cloud GCP AWS Azure BigQuery Snowflake Redshift

Machine Learning Scikit-learn Pandas Numpy Statistics MLOps

Data Engineering ETL/ELT dbt Jinja Data Pipelines Terraform

Visualization Looker Studio Plotly Matplotlib

DevOps Docker Kubernetes Airflow CI/CD Github Actions Git

Agile Frameworks Scrum Kanban

Project Management Confluence Jira

Professionell bakgrund

Lead Data Scientist

Precis Digital

2022-02 - Pågående

Developed a machine learning SaaS from concept to a monetized B2B product, onboarded clients, ? Feb 2022 - Present Stockholm, Sweden and achieved annual recurring revenue exceeding 1 million SEK.
• From a data engineering standpoint, I designed and implemented data pipelines for the ingestion and curation of marketing data in BigQuery.
• Trained machine learning models with the goal of assessing the effectiveness of advertising and marketing expenditures.
• Managed MLOps, CI/CD, and alerting and monitoring systems.
Key technologies: Python, pandas, scikit-learn, SQL, BigQuery, dbt, GCP, git, Docker, Terraform, Scrum,

Senior Data Scientist

JIRA

2020-01 - 2022-02

Sweden • Provided consulting services to Sweden's largest companies and brands on complex analytics projects.? ? • Conducted an in-depth analysis of customer retention using survival analysis models for a global client.
The gained insights not only enhanced the user experience of the service but also identified new profitable markets within the client's global expansion strategy.
• Segmented the user base for a client operating in the circular economy sector. The segmentation algorithm yielded valuable insights into user behavior and identified distinct user archetypes. This analysis laid the foundation for a diversified strategy to increase user engagement and monetization.
• Established data pipelines for marketing data, facilitated client onboarding to multi-touch attribution models, and served as the technical lead in presales activities.
Key technologies: Python, pandas, scikit-learn, SQL, BigQuery, GCP, AWS, git, Docker, Terraform, Scrum, JIRA

Data Scientist Team Lead

Bonnier News

2019-01 - 2020-01

Led an analytics team consisting of an analyst, data engineer, and data scientist, fostering a collabora-? Jan 2019 - Jan 2020 Stockholm, Sweden tive environment with technical expertise, domain knowledge, and a positive team spirit.
• Managed the planning of analytics projects, monitored deliverables, and conducted candidate interviews for recruitment.
• Collaborated with data scientists from Dagens Nyheter, Dagens Industri, and Expressen to apply machine learning for cross-selling Bonnier brands.
Key technologies: Python, pandas, pySpark, SQL, MS SQL Server, Azure, GCP, git, Docker, shell-scripting, Scrum

Data Scientist

Bonnier News

2018-06 - 2019-01

Generated business value through the application of machine learning to loosely defined problems, ? Jun 2018 - Jan 2019 Stockholm, Sweden including achieving an 80% accuracy rate in identifying churners for churn prediction, accurately modeling future revenue with an 80% accuracy rate for customer lifetime value, and realizing a 50% increase in conversion rate and automation of campaign email send-outs for marketing automation.
• Developed scalable data pipelines and deployed custom-built machine learning models to the cloud using Docker.
• Conducted workshops for marketing managers and C-level executives, and presented analytics insights to the marketing department.
Key technologies: Python, pandas, pySpark, SQL, MS SQL Server, Azure, GCP, git, Docker, shell-scripting, Scrum Business Intelligence Consultant | Advectas (acquired by Capgemini) Sep 2017 - Jun 2018 Stockholm, Sweden • Developed planning, budgeting, and forecasting solutions using IBM Cognos TM1.? ? • Maintained existing solutions with a focus on testing and documentation.
• Gained an understanding of business processes, conducted requirements analysis, and integrated databases.
Key technologies: Python, Azure, MS SQL Server, VBA, IBM Cognos TM1

Analyst

SEB

2016-04 - 2016-08

Sweden • Acquired proficiency in analyzing financial instruments using Excel. ? ? • Redeemed bonds, managed coupon payments, and reconciled internal accounts within IBM IMS.
• Supervised routine improvements and recommended technical process changes to reduce costs.
• Precisely and swiftly executed currency orders in amounts exceeding billions.
Key technologies: Excel, IBM IMS

Akademisk bakgrund

Master of Science in Engineering

Uppsala University

2012-01 - 2017-01

Seoul National University

Seoul National University

2016-01 - 2016-01

Certifikat

Yama Aziz Updated: October 10, 2023 3 of 3

Google Cloud Professional Data Engineer