Image of Aníbal Martínez-Sistac

Aníbal Martínez-Sistac

Junior Consultant @ Indra

Data Scientist at Booming Games | Pg.D. Big Data Management and Analytics | Statistician & Economist

Berlin Area, Germany

Ranked #1,233 out of 24,660 for Junior Consultant in United States

Section title

Aníbal Martínez-Sistac's Email Addresses & Phone Numbers

Aníbal Martínez-Sistac's Work Experience

Indra

Junior Consultant

April 2015 to Present

Barcelona Area, Spain

Indra

Business Analytics Internship

November 2014 to April 2015

Barcelona Area, Spain

Trinity Tek S.A.

Junior Trainee in Business Development & Analytics

July 2013 to September 2013

Aníbal Martínez-Sistac's Education

UPC School of Professional & Executive Development

PgD. Big Data Management and Analytics Big Data and Data Science

2015 to 2016

Universitat Politècnica de Catalunya

Bachelor of Science (B.Sc.) Statistics

2011 to 2015

Universitat de Barcelona / University of Barcelona

Bachelor of Arts (BA) Economics

2010 to 2014

Aníbal Martínez-Sistac's Professional Skills Radar Chart

Based on our findings, Aníbal Martínez-Sistac is ...

Scheduled
Active
Inspirational

What's on Aníbal Martínez-Sistac's mind?

Based on our findings, Aníbal Martínez-Sistac is ...

57% Left Brained
43% Right Brained

Aníbal Martínez-Sistac's Estimated Salary Range

About Aníbal Martínez-Sistac's Current Company

Indra

Creation of machine learning predictive models for fraud detection and prevention in Data Science projects. Main tasks evolved in this position include: • Client solution-requests meetings • Challenge definition and technology selection • Information processing • Predictive models design and building • Validation • Key-information understanding and conclusions drawing • Value delivery and client solution integration

Frequently Asked Questions about Aníbal Martínez-Sistac

What company does Aníbal Martínez-Sistac work for?

Aníbal Martínez-Sistac works for Indra


What is Aníbal Martínez-Sistac's role at Indra?

Aníbal Martínez-Sistac is Junior Consultant


What is Aníbal Martínez-Sistac's personal email address?

Aníbal Martínez-Sistac's personal email address is a****[email protected]


What is Aníbal Martínez-Sistac's business email address?

Aníbal Martínez-Sistac's business email addresses are not available


What is Aníbal Martínez-Sistac's Phone Number?

Aníbal Martínez-Sistac's phone (**) *** *** 187


What industry does Aníbal Martínez-Sistac work in?

Aníbal Martínez-Sistac works in the Information Technology and Services industry.


Who are Aníbal Martínez-Sistac's colleagues?

Aníbal Martínez-Sistac's colleague is Mateusz Kleina


About Aníbal Martínez-Sistac

📖 Summary

Results oriented and self-motivated achiever. Fully dedicated to transforming information/data into successful strategies to improve businesses. Connecting technical knowledge with business vision. Strong commercial and communication skills. Great interest in the fields of: • Data Science & Big Data Analytics • Project management and new projects inception • Business strategy • SPIN sales and productivity Specialties: • Design of machine learning predictive models in Big Data projects aiming client objectives in different-size business and sectors • Professional experience towards international customers: Latin America, United States, Canada, Europe, Israel • Languages and social skills Contact information: E-mail: [email protected] Follow me at Twitter: @amsistacJunior Consultant @ Creation of machine learning predictive models for fraud detection and prevention in Data Science projects. Main tasks evolved in this position include: • Client solution-requests meetings • Challenge definition and technology selection • Information processing • Predictive models design and building • Validation • Key-information understanding and conclusions drawing • Value delivery and client solution integration From April 2015 to Present (9 months) Barcelona Area, SpainBusiness Analytics Internship @ Predictive analytics design targeting fraud uncovering in Data Mining projects. Technology implemented: Hadoop, Spark, H2O, R, Python tools for web-crawling. Machine learning techniques applied: • Generalized Linear Models (GLM) • Linear and Quadratic Discriminant Analysis (LDA, QDA) • Classification and Regression Trees (CART) • Neural Artificial Networks (NAN) • Support Vector Machine (SVM) • Anomaly detection • Random forest • AdaBoost and Bagging • Multivariate analysis (Clustering, PCA, MCA) • K-Nearest Neighbours (KNN) • K-means • Apriori algorithm • Basket analysis • Cross-Validation Method (CVM) • Forecasting • Text Mining, among other advanced machine learning techniques From November 2014 to April 2015 (6 months) Barcelona Area, SpainJunior Trainee in Business Development & Analytics @ • Statistical analysis of metrics and reports creation • Database management and other business analytics at Trinity Tek Europe • Market research: search for strategic information and new customers contact in the United States, Canada, and Israel • Co-participation in the biotech strategic alliance proposal at the Maxwell Fund in Boston, MA, and the Colombian-Russian Chamber of Commerce in Bogota D.C., Colombia From July 2013 to September 2013 (3 months) Junior Trainee in Business Development & Analytics @ • Analysis and monitoring of KPI's performance for the different business units • In charge of Trinity Tek S.A.S. markets database creation • Market research and customers contact in Germany, United Kingdom, and Switzerland • Development and launching of the ‘Omicron Sera’ and ‘Trinity Tek’ brands, including naming, logos, website content creation (www.trinitytek.net), industrial sleeves, and packaging From July 2012 to September 2012 (3 months) PgD. Big Data Management and Analytics, Big Data and Data Science @ UPC School of Professional & Executive Development From 2015 to 2016 Bachelor of Science (B.Sc.), Statistics @ Universitat Politècnica de Catalunya From 2011 to 2015 Bachelor of Arts (BA), Economics @ Universitat de Barcelona / University of Barcelona From 2010 to 2014 Approach To Business Management, Business Administration and Management @ IESE Business School - University of Navarra From 2010 to 2011 Aníbal Martínez-Sistac is skilled in: Data Science, Business Strategy, Big Data, Consulting, Machine Learning, Spark, R (lenguaje de programación), Python, Hadoop, Predictive Modelling, MLlib, Java, H2O, SQL, Commercial skills


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Aníbal Martínez-Sistac's Personality Type

Extraversion (E), Intuition (N), Thinking (T), Judging (J)

Average Tenure

0 year(s), 5 month(s)

Aníbal Martínez-Sistac's Willingness to Change Jobs

Unlikely

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