Lennart Wallentin
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Lennart Wallentin Email & Phone Number

Data Scientist at Capgemini
Location: Stockholm, Stockholm County, Sweden 3 work roles 1 school
1 work email found @qred.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email l****@qred.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Scientist
Location
Stockholm, Stockholm County, Sweden
Company size

Who is Lennart Wallentin? Overview

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Quick answer

Lennart Wallentin is listed as Data Scientist at Capgemini, a company with 321265 employees, based in Stockholm, Stockholm County, Sweden. AeroLeads shows a work email signal at qred.com and a matched LinkedIn profile for Lennart Wallentin.

Lennart Wallentin previously worked as Data Scientist at Zaver and Data Scientist at Qred Ab. Lennart Wallentin holds Bachelor Of Science (B.Sc.), Computer And Systems Sciences from Stockholm University.

Company email context

Email format at Capgemini

This section adds company-level context without repeating Lennart Wallentin's masked contact details.

{first}.{last}@qred.com
86% confidence

AeroLeads found 1 current-domain work email signal for Lennart Wallentin. Compare company email patterns before reaching out.

Profile bio

About Lennart Wallentin

Data Scientist using Python for machine learning (supervised and unsupervised), AI and predictive analysis. Languages & Frameworks:- Python (e.g. Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, CatBoost, XGBoost, Keras/TensorFlow, Seaborn, Alibi, Optuna)- SQL (PostgreSQL, MySQL, BigQuerySQL)- Google Cloud Platform GCP (BigQuery, Vertex AI, Colab, Looker Studio etc)- Amazon Web Services AWS (Lambdas, Step Functions, S3, QuickSight etc.)- Statistical modeling (e.g. Neural networks, Boosting, Random forest, SVM, Stacked Generalization, GLM)- GitHub- Microsoft Office- Twirl Data Engineering Tool

Listed skills include Consulting, Data Analysis, Python, Presentation Skills, and 40 others.

Current workplace

Lennart Wallentin's current company

Company context helps verify the profile and gives searchers a useful next step.

Capgemini
Capgemini
Data Scientist
Stockholm County, Sweden
Website
Employees
321265
AeroLeads page
3 roles

Lennart Wallentin work experience

A career timeline built from the work history available for this profile.

Data Scientist

Stockholm County, Sweden

Data Scientist

Current

Stockholm, Stockholm County, Sweden

May 2024 - Present

Data Scientist

Stockholm, Stockholm County, Sweden

Mar 2022 - Apr 2024
Team & coworkers

Colleagues at Capgemini

Other employees you can reach at capgemini.com. View company contacts for 321265 employees →

1 education record

Lennart Wallentin education

FAQ

Frequently asked questions about Lennart Wallentin

Quick answers generated from the profile data available on this page.

What company does Lennart Wallentin work for?

Lennart Wallentin works for Capgemini.

What is Lennart Wallentin's role at Capgemini?

Lennart Wallentin is listed as Data Scientist at Capgemini.

What is Lennart Wallentin's email address?

AeroLeads has found 1 work email signal at @qred.com for Lennart Wallentin at Capgemini.

Where is Lennart Wallentin based?

Lennart Wallentin is based in Stockholm, Stockholm County, Sweden while working with Capgemini.

What companies has Lennart Wallentin worked for?

Lennart Wallentin has worked for Capgemini, Zaver, and Qred Ab.

Who are Lennart Wallentin's colleagues at Capgemini?

Lennart Wallentin's colleagues at Capgemini include Aniket Mote, Timothy Scott, Nisrine Alami-Marrouni, Akhilendra Jha, and Sami Pakarinen.

How can I contact Lennart Wallentin?

You can use AeroLeads to view verified contact signals for Lennart Wallentin at Capgemini, including work email, phone, and LinkedIn data when available.

What schools did Lennart Wallentin attend?

Lennart Wallentin holds Bachelor Of Science (B.Sc.), Computer And Systems Sciences from Stockholm University.

What skills is Lennart Wallentin known for?

Lennart Wallentin is listed with skills including Consulting, Data Analysis, Python, Presentation Skills, Statistics, Etl, Sas Programming, and Business Strategy.

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