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Sonali Shintre
Data and Research Analyst at IUSL, CCNY | Data Science Fellow @ The Knowledge House | Looking for Data Science, Software or Machine Learning roles
About
Sonali Shintre is a proactive problem solver with excellent communication abilities. She is a Data and Research Analyst at the Institute of Ultrafast Spectroscopy and Lasers and has 1.78 years of relevant experience. She is actively looking for new opportunities in the Software or Data Science field with strong programming and analytical skills. Sonali did her Master's degree in Data Science and Engineering from The City College of New York. She has also completed a Certificate in Quantum Computing from The Coding School. Her education background and work experience have equipped her with a diverse skill set that includes Research Scientist, Data Scientist, ML, SQL, Python, Docker, Flask, and Web. At her current company, Sonali has utilized Microsoft Excel to categorize budget reports into detailed pivot tables to develop financial strategy. She has participated in collecting, organizing, and interpreting data along with researchers. She has also assisted students in laser labs and established efficient workflow processes. She has developed complex reports, assisted in writing technical reports, papers, proposals, and oversaw office inventory activities, including ordering and requisitions. In her past roles, Sonali worked as an Administrative Assistant at the Institute for Ultrafast Spectroscopy and Lasers and as a CodeLabs Intern at Codeday. At IUSL, she worked as a Content Editor for the IUSL website and published newsletters and annual reports. At Codeday, she developed a stack of ML models to classify microscopic wood images, used Seldon-core to create an API that connects to the model, and built a website to link the API using Flask. She worked in a team of three, with Mr. Thanh Le, Ms. Nzinga Eduardo, and Mr. Keith Callenberg as a mentor. Sonali is a Data Science Fellow at The Knowledge House and is looking for Data Science, Software, or Machine Learning roles. She is a proactive and detail-oriented individual with a passion for solving complex problems. She is always eager to learn and grow in her career.
Education Overview
• the coding school
• the city college of new york
• oxford college of engineering
Companies Overview
• institute of ultrafast spectroscopy and lasers
• codeday
• supplycopia
• institute for ultrafast spectroscopy and lasers
Experience Overview
2.7 Years
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