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@satyamaeron
Data scientist with practical expertise in Python, SQL, Power BI and Azure.
I am a data scientist with two years of hands-on experience building Python-based machine learning models, ETL pipelines in Microsoft Azure Data Factory, and interactive Power BI dashboards to deliver actionable insights.
I have implemented end-to-end solutions including automated web scraping, API integrations for social data, LLM-powered NLP tasks (sentiment, summarization, dataset tagging), and automated alerting using Power Automate to improve operational efficiency.
My background in Economics and Finance (MSc, King's College London) and prior NGO project work demonstrates strong analytical judgment, stakeholder communication, and a commitment to delivering measurable impact through data-driven decision making.
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Work history, roles, and key accomplishments
Kline & Company
Jul 2022 - Present (3 years 4 months)
Led development and deployment of Python ML models and end-to-end ETL pipelines in Azure Data Factory, improving data processing efficiency and enabling predictive, impact and time-series analyses; built Power BI dashboards and automated alerts to streamline reporting and communication.
Degrees, certifications, and relevant coursework
Master of Science, Economics and Finance
Grade: Distinction
MSc Economics and Finance completed with Distinction; dissertation analyzed the impact of COVID-19 on technology adoption by businesses.
Bachelor of Arts (Hons), Economics
Grade: First Division
Activities and societies: Executive Member of Enactus Society; volunteer with Amar Jyoti Charitable Trust involving teaching, event organization, and social impact projects.
B.A. (Hons) Economics, graduated with First Division and participated in volunteer and society leadership activities.
Software and tools used professionally
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