Maxine Corry
Address 1
Address 2
T: 0044 123 456 7890
E: info@dayjob.com


PERSONAL SUMMARY

Maxine can tell stories with data by going through information from various sources to analyse and draw conclusions from it. She is a proven Data Scientist who has a long track record of extracting and interpreting large amounts of data from a range of sources to answer questions an solve problems. Confident in her ability to support an organisation by developing databases and systems that deliver accurate information to base conclusions on. One of her key strengths is her ability to apply mathematical, problem-solving, and coding skills to navigate big data.

Possesses the professional competence and skills needed to make an immediate positive impact on the operations of any company she joins. Has extensive practical experience in data modelling, data analysis and visualization within the domains of agriculture, construction, and finance. Furthermore, she has a proven ability to exceed targets, can pick up new skills or knowledge quickly, and thrives in a fast-paced environment. Strong knowledge of math, probability, statistics, and algorithms, such as linear algebra and Bayesian statistics.

In her current role she works with large datasets on the extraction, cleaning, exploration, analysis, and presentation of information. At work she liaises closely with other teams to improve data management, modelling, and best practices. Through her career she has learnt how to analyse data from third party providers such as Google Analytics, Adwords and Facebook Insights. Has also become very good at liaising closely with machine learning engineers, front-line clinicians, stakeholders, informaticists, and researchers.

On a personal level she is curious by nature and always wants to find out why things work and why they don’t. Possesses the right combination of technical, analytical, and communication skills needed to execute her duties admirably. As a superb communicator, she is able to present her findings and conclusions in clear and engaging language.

Right now, she is currently looking for a suitable role were people like her are highly sought after and well paid.

 

CAREER HISTORY

DATA SCIENTIST – Start Date – Present
Employers name – Location
Responsible for using data to develop solutions tailored to meet the organisation’s unique needs by interpreting raw data to extract valuable meaning out of it.

Duties;

  • Building models to develop predictions about the future based on past data.
  • Aggregating and cleaning data from multiple data files and sources.
  • Putting in order large volumes of unstructured information and can be analysed.
  • Working closely with colleagues and clients to identify issues and use data to propose solutions for effective decision making.
  • Conducting research, fieldwork, and investigations, and writing up reports.
  • Utilising a range of programming languages to transform big data into data sets.
  • Analysing large amounts of information to discover trends and patterns.
  • Horizon scanning to stay up to date with the latest data technology, techniques, and analysis methods.
  • Designing experiments to manage and report on data both within the company and for external use.
  • Presenting research and results at conferences and meetings.
  • Using AI tools to automate specific processes within the organization.
  • Managing own day to day research and administrative activities.
  • Collaborating with colleagues or clients to develop an understanding of their precise needs.
  • Representing and acting as an ambassador for the company at external events and conferences.
  • Presenting results using clear, engaging and understandable language to a non-technical audience.
  • Planning and carrying out experiments and investigations in a range of areas as directed by superiors and colleagues.
  • Applying innovative data-driven technology to solve problems.
  • Building scalable machine learning pipelines.
  • Involved in the recruitment, training and mentoring of junior newly qualified data scientists.
  • Designing and implementing data algorithms to solve a wide array of challenging problems.
  • Putting together scripts to support with the integration of data.
  • Using practical and analytical methods to analyse statistics as well as discover, explore, and uncover, patterns and insights.
  • Developing A/B testing framework to test data quality.
  • Mentoring other staff in data science techniques and solutions.
  • Breaking down a data science project into constituent tasks or sub-projects.
  • Presenting information using data visualization techniques.
  • Looking for and then implementing opportunities to improve the flow of data.
  • Carrying out collaborative projects with colleagues in partner organisations.
  • Developing prototypes and proof of concepts from conducting research.

JOB TITLE – Start Date – End Date
Employers name – Location


KEY SKILLS AND COMPETENCIES

Professional

  • Solid knowledge of statistical methods and machine learning fundamentals.
  • Building models to address business problems.
  • Distilling lots of data into clear insights that can support business decisions.
  • Ability to anticipate problems and develop effective solutions.
  • Maintaining composure when dealing with difficult and stressful situations.
  • Excellent understanding of machine learning techniques and algorithms.
  • Meticulous attention to detail and accuracy.
  • Can work effectively in a dynamic, research-oriented group that has several simultaneous projects running.
  • Responding to enquiries in a professional and polite manner.
  • Setting very high standards for own personal and professional behaviour
  • Successful track record in the interpretation and classification of data.
  • Putting together predictive models and machine-learning algorithms.
  • Attention to detail in everything she does.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages.

Personal

  • Punctual and always on time for work and meetings etc.
  • Can quickly master diverse software technologies and techniques.
  • Acting with a sense of urgency when dealing with important issues.
  • Comfortable working with a wide range of stakeholders and functional teams.
  • Generous by nature and prepared to share your ideas and solutions with your wider team.
  • A drive to learn and master new technologies and techniques.

 

AREAS OF EXPERTISE

Interpreting datasets
Data modelling
Data analysis
Problem research
Data science
Leadership
Artificial intelligence
Machine learning
Statistical tools
Extracting information
Data integrity
Service Improvement
Data corruption
Problem scoping
Machine learning
Risk analysis
Statistical analysis

 

ACADEMIC QUALIFICATIONS

University name  –  Degree details              Study Dates
College name      –  Qualifications                Study Dates
School name       –  Subjects / Grades          Study Dates

 

REFERENCES

Available on request.

 

 

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