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Data scientist within the financial sector
Paulina Figol
,
Hove, United Kingdom
Experience
Other titles
Skills
I'm offering
A successful professional with a wealth of transferable skills gained in the financial sector. Her interest areas are primarily: predictive analytics - especially risk modelling, Natural Language Processing (NLP) and data visualizations – including deployment using tools such as Dash by Plotly.
Markets
United Kingdom
Industries
Language
German
Good
English
Fluently
French
Good
Polish
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2019 - 2020
job
Data Scientist (London)
Mudano part of Accenture.
Delivering internal and external client projects including:
• Building Project Health Score, predicting early warning indicators and building project health
monitoring tools
• Using machine learning to model mortgage account holders' retention probabilities based on
market prices and predicted elasticity
• Building a prototype predicting escalation of data issues based on descriptions with the use of Natural Language Processing; Calculating the optimum state of escalation and deploying it
online (with Dash) as an interactive web application
• Development of the client's in-house Analytics Hub. Building stakeholder understanding along
with supervising and coaching associate data scientists
• Client events: Leading a team of 5 to build an interactive web application teaching machine
learning; Creating client data management and data engineering experiences
• Building Project Health Score, predicting early warning indicators and building project health
monitoring tools
• Using machine learning to model mortgage account holders' retention probabilities based on
market prices and predicted elasticity
• Building a prototype predicting escalation of data issues based on descriptions with the use of Natural Language Processing; Calculating the optimum state of escalation and deploying it
online (with Dash) as an interactive web application
• Development of the client's in-house Analytics Hub. Building stakeholder understanding along
with supervising and coaching associate data scientists
• Client events: Leading a team of 5 to build an interactive web application teaching machine
learning; Creating client data management and data engineering experiences
Natural, Processing, Online, Web, Development, Health, Retention, Monitoring, It, Coaching, Engineering, Data engineering, Analytics, Management, Data management, Teaching, Machine learning
2017 - 2019
job
Data Scientist (Nottingham)
Oakbrook Finance.
7th fastest-growing technology company in the UK in Sunday Times Tech Track 100 ranking for using machine learning to help estimate borrowers' credit risk (September 2017)
• Developing new dual bureau predictive models to minimize credit risk (using Machine learning techniques)
• Supporting maintenance of decision engine where models are deployed using R and SQL
• Automating model and fraud monitoring packs
• Deriving Insight from existing and any new data
• Developing new dual bureau predictive models to minimize credit risk (using Machine learning techniques)
• Supporting maintenance of decision engine where models are deployed using R and SQL
• Automating model and fraud monitoring packs
• Deriving Insight from existing and any new data
Sql, Machine learning, R, Technology, Monitoring
2015 - 2017
job
Data Analyst (Leicester)
IBM.
Delivering a Data Analysis assignment within Data Warehousing,
Data Mining and BI
Performing data cleaning and data manipulations followed by logical analysis
Designing, developing, and instrumenting accurate, effective information by building reports using a query language such as SQL
Data Mining and BI
Performing data cleaning and data manipulations followed by logical analysis
Designing, developing, and instrumenting accurate, effective information by building reports using a query language such as SQL
Sql, Data Analysis, Data mining, Analyst, BEE, Performing
2014 - 2014
job
Vice President of Finance (Nottingham)
AIESEC.
Responsible for short and long-term financial management and accounting, budget tracking, coaching the finance team, supporting teams in financial planning, creating monthly and quarterly reports to the national team and developing strategies for income diversification
Coaching, Budget, Management, Finance, Planning, President
2014 - 2014
job
Market Intelligence Officer
Unite Group.
Collecting and analysing external data such as related to property market, analysing students' behaviour (as customers) or macroeconomic factors used for company strategic decision making
2013 - 2013
internship
Intern (Warsaw)
Ministry of Finance of Poland.
Familiarizing with functioning of the European Division and the institution, preparing economic forecasts, information about current state of European countries and briefs regarding international visits for the ministers as well as participating in various meeting (also at different Ministries and the Polish Parliament)
International, Internal
2013 - 2013
internship
Trainee (Wrocław)
European Parliament Information Office.
Familiarizing with the structure of the European Union and the policies, taking part in the workshops and meetings, undertaking research on various topics and organising events, editing reports as well as other texts on the EPIO website and upgrading the database
Research, Database, Website, Workshops
My education
2018
-
2019
Cambridge Spark
Course, Applied Data Science
Course, Applied Data Science
Modules:
Module 1: Fundamentals
Module 2: EDA/Unsupervised
Module 3: EDA/Supervised
Module 4: Regression & Time Series
Module 5: Ensemble Models
Module 6: Cloud & Databases
Module 7 Big Data
Module 8: Neural Network/Deep Learning
Module 9: NLP
Module 10: Recommender Systems + Interpretability
2014
-
2015
University of Nottingham
MSc, Applied Economics and Financial Economics
MSc, Applied Economics and Financial Economics
2011
-
2014
De Montfort University
Bachelors, Business Management and Economics
Bachelors, Business Management and Economics
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