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Poonam Sharma

@poonamsharma1

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Highly organised Data Scientist

United Kingdom

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What I'm looking for

Seeking a challenging role that leverages my data science skills to drive business growth and improve decision-making processes.

As a highly organised Data Scientist with a PhD in Theoretical Particle Physics, I possess a unique combination of analytical and technical skills. With experience in gathering, cleaning, and organising data for technical and non-technical personnel, I excel in applying statistical, algebraic, and other analytical techniques to drive business growth.

Throughout my career, I have developed and improved machine learning models, designed predictive analytics, and provided data-driven insights to address business challenges. My expertise in programming languages such as Python, R, and SQL, as well as data visualisation tools like Tableau and Power BI, enables me to effectively communicate complex data insights to stakeholders.

With a strong academic background and a passion for staying up-to-date with the latest technological developments, I am confident in my ability to drive business growth and improve decision-making processes through data-driven solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist/Senior Data Consultant

Current

Butterfly Data

Mar 2023 - Present (2 years 2 months)

Developed a Python pipeline with Machine Learning models to enhance Job Centre Plus interventions. Conducted exploratory data analysis and implemented data-driven improvements. Analyzed Royal Navy data to mitigate voluntary outflow using synthetic data and presented solutions.

Python SQL R Machine Learning Data Analysis Jupyter Data Visualization

Data Scientist

Sparkbox.ai

Jul 2022 - Nov 2022 (4 months)

Designed and improved machine learning models and productivity tools in a retail environment. Enhanced predictive modelling and developed analytics for new solutions as part of the product roadmap.

Machine Learning Predictive Analytics Data Modelling Analytics Python SQL Data Visualization Research

Credit Risk Modeller

Santander UK

May 2018 - Oct 2018 (5 months)

Designed and implemented EAD models using SAS and SQL. Provided quantitative analytical support to corporate banking and documented existing methods while producing high-standard analysis.

SAS SQL Data Analysis Documentation Quantitative Analysis Excel Banking

Data Scientist/BI Analyst

Ten Group

Sep 2017 - Mar 2018 (6 months)

Applied statistical techniques on large datasets to measure results and predict future performance. Developed a recommendation engine and logistic regression models for travel and dining data.

Statistical Analysis Data Science Recommendation Systems Logistic Regression Data Visualization Data Analysis Python SQL Statistical Modelling

Data Science Intern

Profusion Ltd

Jan 2017 - Jul 2017 (6 months)

Produced reports for clients using SQL and R scripts. Analyzed data and provided insights through visualization while working closely with consultants.