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Sahil User

@sahil1691

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Data Science professional with experience in Machine Learning and LLMs

United Kingdom

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What I'm looking for

Seeking opportunities as a Data Scientist/ML Engineer where I can leverage my skills and experience to drive business growth and improvement.

I am a driven and ambitious Data Science professional with a strong academic background in Data Science, currently pursuing a Master of Science in Data Science at the University of Bath. With around one year of experience as a Data Scientist at Ernst & Young, I have developed a solid foundation in machine learning, deep learning, and data analysis.

Throughout my career, I have demonstrated my ability to drive data-driven decision-making and strategic planning, leading to project retention of £600,000. I have also created interactive Power BI Dashboards for State and Central Government Health and Agriculture sectors, enabling data-driven policymaking and resource allocation.

I am a collaborative and adaptable individual with excellent problem-solving skills, always looking to leverage my skills and experience to drive business growth and improvement.

Experience

Work history, roles, and key accomplishments

Data Scientist

Ernst & Young LLP.

Feb 2022 - May 2023 (1 year 3 months)

Built ML models for agriculture price forecasting (LSTM, ARIMA), securing £600K in project retention. Developed computer vision models (YOLOv5, autoencoders) for MENA's largest power supplier, boosting efficiency and cost savings. Led RAG system for public health, improving research access. Created dashboards in Dash and Plotly for real-time insights, speeding up decision-making for stakeholders.

Python Machine Learning Time Series Analysis Power BI Data Visualization Forecasting LLM Driven RAG Systems LLM TensorFlow

Data Science Intern

Enerdatics

Apr 2021 - Nov 2021 (7 months)

Developed ML models to analyze renewable energy consumption, enhancing predictive accuracy for project planning. Built an NLP pipeline to classify key entities in industry reports, streamlining data processing. Conducted web scraping for M&A deals in the renewable energy sector, generating detailed reports that offered valuable insights for strategic decisions.

Web Scraping Data Analysis M&A Renewable Energy NLP Python