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lavender echessa

lavender echessa

data scientist

Technology / Internet

Nairobi, Nairobi Area

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About lavender echessa:

Am a passionate data scientist with a strong foundation in programming, statistical analysis, and machine learning. I am seeking opportunities to apply my skills and knowledge in a dynamic environment. I am eager to contribute to data-driven decision-making and solve complex problems using data science techniques.

 

 

Experience

Data Scientist

Omdema- Present

 

Workedalongside teammembers andleaders toidentify analyticalrequirements and collect information to meet customerand project demands.

Applied analysisskills, leveraging insights,developing and deployingdata models and evaluating and improvingexisting models to create solutions.

Providedsolutions and strategies to address business challenges and help businesses remain competitive using market trend data.

Pre-processed structured andunstructured databy collaborating with diverse teams in implementing models and monitoring outcomes.

Filtered and assessed data from different views, searching for patterns indicating problems or opportunities and communicated resultsto help drive business growth.

Gathered analytics data using different sources.

Built predictive models and machine-learning algorithms to analyse large data sets and draw useful conclusions, minimisingintroduction of errors into analysis processes.

Data ScientistIntern

Prodigy Info Tech- September 2023

Applied analysis skills,leveraging insights, developing and deploying data models and evaluating and improving existingmodels to create solutions.

Created processes and tools for monitoring and analysing model performance and data accuracy,defining and applying modellingchanges to support analyticefforts.

Conducted critical researchinto changing metricscauses and customers, user interactions and trends to help businesses stay competitive.

Gathered analytics data using differentsources.

Provided solutions and strategies to address business challenges and help businesses remain competitive using market trend data.

Filtered and assessed data from different views, searching for patternsindicating problems or opportunities and communicated resultsto help drive business growth.

Set up structures for producingreports.

Pre-processed structured and unstructured data by collaborating with diverse teams in implementing models and monitoring outcomes.

Presented information using data visualisation techniques, proposing solutions and strategies to drive business change and solve problems.

 

Data Analyst Virtual Intern

KPMG AU-August2023

Generated reportssummarizing key insightsfrom data analysisprojects

Maximized qualityof deliverables by participating in peer reviewsRecommended data analysis tools to address business issues Assisted with the development of dashboards and reports using spreadsheet and visualization software

Documented findingsfrom exploratory data analysis activities in technical documents.

Education

moringa school - data science

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