About Jhanvi Kasundra
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Viewed 742
About me
Graduate Student at SUNY Buffalo with a demonstrated history of working on projects which helped me gain experience in data cleaning, model building, data analysis, data visualization, machine learning and reporting over the period of this course.
Skills include :
Languages : Python, R, C, C++, JavaScript, SQL, HTML, CSS
Frameworks and Libraries : NumPy, Pandas, MATLAB, RShiny, Keras, TensorFlow, scikit-learn, Matplotlib, Seaborn, Flask, Django, RStudio
Tools and Technologies : Tableau, Git, MS Excel, Jupyter Notebook, Google Colab, VS Code, Pycharm, Heroku
Databases : MySQL, PgAdmin4, MySQL Workbench
Education
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2021 - 2023
University at Buffalo, The State University of New York
Master of Science, Engineering Science - Data Science
Relevant Courses : Health Care Analytics, Statistical Learning & Data Mining I &II , Data Models Query Language, Data Intensive Computing, Fundamentals of Machine Learning, Programming & Database Fundamentals for Data Scientists.
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2017 - 2021
Universal College of Engineering, Mumbai University
Bachelor of Engineering, Computer Science
Experience
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2022 - 2022
Clocky LLC
Data Analyst Intern
l Used BeautifulSoup a Python library, PRAW and Tweepy packages to scrape the desired data across different channels to know
the top desired features
l Analyzed and suggested top 3 features for the next product release/upgrade to the leadership; Incorporation of which led to 25%
increase in sales
l Performed SEO by analyzing keyword performance and site-map structure to gain more visits to the website; increasing by 30%
l Designed dynamic dashboards using Tableau to provide visualization with actionable insights on KPIs -
2022 - 2022
Primary Care IPA, Inc
Data Analyst Project Intern
l Analyzed and mined actionable insights on pediatric patients by visualizing the patterns and trends using Tableau
l Mapping and manipulating large Relational Databases in SQLite for analyzing the claims process and getting actionable insights
on patients through complex SQL queries
l Built a prediction model for the high-risk patients that could save $35000 per year and improve the health services by 20% from
the claims and pharmacy data using Python.