Data Analyst
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Data Analyst with 1.8 years of experience, proficient in Agile Scrum methodology, Jira, data models and machine learning. Proven ability to collect, clean, and analyze data from various sources to develop comprehensive and reliable databases.
Data Science and Machine Learning Intern at Gilbert Research Center
Passionate data science and machine learning intern with experience in developing and deploying data science and machine learning solutions to solve real-world problems in the medical equipment manufacturing industry.
Establish data collection, preparation, and analysis best practices.
Design and execute experiments to test hypotheses and boost models.
Develop and deploy data science and data analytics solutions using Python packages.
Create and construct machine learning methods and plans.
Leverage test findings to improve models using public datasets.
Build predictive models and machine-learning algorithms.
Tools used: Jupyter Notebook, SQL Server, matplotlib, seaborn, sklearn, pandas, Advance Excel, Spreadsheets.
Previous experience as a Business Development Executive Data at Paradiso Software Pvt Ltd., where I:
Improved data accuracy by 30% and data retrieval time by 25% by implementing data management best practices, including data standardization and data cleansing.
Boosted data accessibility and decision-making by spearheading data collection, cleansing, and organization.
Increased project efficiency by 35% and sales by 20% by analyzing sales and financial data to forecast sales and profit metrics and collaborating with Sales and Development teams.
Managed data solutions, pipelines, and quality, training and supporting team members to deliver a robust and reliable data ecosystem.
Mentored 2 new team members.
Seeking a challenging data science and machine learning internship where I can apply my skills and knowledge to solve real-world problems and make a positive impact.
