Find Data Scientists in Brighton
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Data Scientist
• Cornell Honours graduate in Statistical Sciences with applied project/team experience in statistical consulting units and hospitality industry
• Background in theoretical statistics and applied mathematics with advanced set of programming skills; project management experience handling large data sets –
sampling/cleaning, analysing, presenting
• Business Analytics 2017 MSc student at Imperial College aiming to pursue career in data science
• Background in theoretical statistics and applied mathematics with advanced set of programming skills; project management experience handling large data sets –
sampling/cleaning, analysing, presenting
• Business Analytics 2017 MSc student at Imperial College aiming to pursue career in data science
Skills
algorithms
mathematics/statistics
modelling
python
r
analysis
sql
statistician
Data Scientist
I am passionate about Analytics and using statistical techniques to create a data driven organisation. I am familiar with most statistical techniques including Linear and Logistic Regression, CHAID, Clustering, Neural Networks, Association Models as well as NLP for text analysis. I can bridges the gap between the technology, statistics and business. He is also passionate about the value of Social Media data and its value in better understanding of customers.
I have architected and developed SaaS predictive solutions for marketing, experienced in working in an Agile environment and product development.
Skills: R, SQL, SPSS, Tableau
2 of the last organisations I have worked for have been in the Times Tech Track 100 (Black Swan 2017, Portal 2012)
I have architected and developed SaaS predictive solutions for marketing, experienced in working in an Agile environment and product development.
Skills: R, SQL, SPSS, Tableau
2 of the last organisations I have worked for have been in the Times Tech Track 100 (Black Swan 2017, Portal 2012)
Skills
powerbi
python
r
sql
tableau
crm---customer-relationship-mgmt
elasticsearch
etl---extract/transform/load
excel
itil
machine-learning
microsoft-azure
ms-sql-server
nosql
pandas
postgres-sql
rstudio
sckit-learn
Data Scientist
I am a creative and analytical problem solver. Fuelled with a desire for simplicity and evolution. With the goal to use the best technology and ideas to seamlessly enhance daily activities and quality of life for all people.
Skills
machine-learning
mathematics
python
android
chemistry
computer-science
django
java
physics
sql
tex/latex
Data Scientist
• 12+ years experience in deriving pragmatic, actionable insight from data,
• Advanced analytics, Predictive modelling, Data Visualisation,
• Process Automation, Machine Learning,
• Locating bottlenecks and optimising business operations,
• Strong background in the engineering research and development,
• Data lifecycle management (ETL)
• Product Optimisation, Design of Experiment using Simulation Tools
https://www.linkedin.com/in/kprzysowa/
• Advanced analytics, Predictive modelling, Data Visualisation,
• Process Automation, Machine Learning,
• Locating bottlenecks and optimising business operations,
• Strong background in the engineering research and development,
• Data lifecycle management (ETL)
• Product Optimisation, Design of Experiment using Simulation Tools
https://www.linkedin.com/in/kprzysowa/
Skills
azure
hadoop
python
r
hdinsight
hive
javascript
sql
tableau
Data scientist
A motivated and experienced data science professional.
Postgraduate masters degree in data science and analytics.
Postgraduate masters degree in data science and analytics.
Skills
computer-science
machine-learning
python
employee
jakarta-struts
java
jsp
marketing/market-research/advertising
matlab/simulink
oracle
sas-software
Data Scientist
I help businesses creating value of their data based on state of the art data analysis and modelling techniques.
During my PhD, I designed machine learning and data mining tools for the Swiss government. The result are the current national radon map of Switzerland and 5 first author papers on the application of random forest, Bayesian additive regression trees, kernel regression and other data science methods.
During my PhD, I designed machine learning and data mining tools for the Swiss government. The result are the current national radon map of Switzerland and 5 first author papers on the application of random forest, Bayesian additive regression trees, kernel regression and other data science methods.
Skills
git
r
sql
docker
python
qgis
selenium
shiny
sparklyr
vba
