Madhurya Shankar Email and Phone Number
Madhurya Shankar work email
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Madhurya Shankar personal email
I am a Master’s student in Data Science at Michigan State University, with experience in machine learning, predictive modeling, and data analysis. I have a strong technical background in Python, R, SQL, and cloud platforms. I have applied my skills to various projects, including building machine learning models to predict student success, developing financial modeling tools for budget planning, and creating data-driven dashboards for decision support.In my professional experience as a Graduate Research Assistant and Research and Development Fellow, I have worked on optimizing processes through data analysis and machine learning. My goal is to leverage data-driven insights to solve complex problems and contribute to innovative solutions in the field of data science.I am actively seeking opportunities in data science where I can apply my skills in machine learning, data analysis, and predictive modeling to create impactful solutions.
Institute For The Quantitative Study Of Inclusion, Diversity, And Equity
View- Website:
- qsideinstitute.org
- Employees:
- 8
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Research And Development FellowshipInstitute For The Quantitative Study Of Inclusion, Diversity, And Equity Jul 2024 - PresentWilliamstown, Massachusetts, United States- Engineered a comprehensive data lake to centralize and streamline access to federal, foundation, and corporate grants for Native American tribes, enhancing their ability to identify and apply for relevant funding opportunities.- Scraped and processed data from multiple public databases to establish robust metadata standards for improved grant targeting and accessibility.- Developed and trained AI models to automate the filtering of grant data, prioritizing high-quality, reliable sources based on predefined metadata standards, resulting in improved data accuracy and grant relevance.- Built and presented dynamic dashboards to tribal stakeholders and technical partners, providing data-driven insights into available grant opportunities, improving decision-making through clear data visualizations.
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Graduate Research AssistantMichigan State University Jun 2024 - Present- Developed a machine learning model to predict six-year graduation rates for undergraduates, utilizing data-driven insights to identify critical factors influencing student success and improve intervention strategies.- Designed a financial modeling tool for budget scenario planning, enabling effective resource allocation and project prioritization for Student Life & Engagement (SLE) facilities, supporting decision-making across multiple fiscal years. -
Research Assistant IiiMichigan State University May 2024 - Aug 2024- Developed a Shiny web application for economic optimization in vertical farming, modeling variables like shelf height, light intensity (PPFD), and production cycles, which enhanced profitability and efficiency in indoor lettuce cultivation.- Implemented secure user authentication within the application, ensuring data integrity and providing tailored access for stakeholders, improving the platform's overall security and usability.- Conducted comprehensive data analysis on resource costs (water, seeds, electricity) and operational parameters, automating real-time feedback on profitability, yield, and cost-efficiency, aiding strategic decision-making for farming operations.
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Research Assistant IiiMichigan State University Feb 2024 - May 2024- Led the development of a standardized database for biosensor experimental results, focusing on designing an intuitive interface and a structured data storage solution.- Supervised the monitoring and validation process of an Android application for biosensor experiments, guaranteeing app reliability and precision in data gathering and analysis.
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Research Assistant IMichigan State University Sep 2023 - Jan 2024- Spearheaded critical tasks within the data processing and analysis pipeline, processing, and sub-segmentation techniques to optimize experimental data quality.- Demonstrated expertise in developing and tailoring data visualization tools, facilitating the seamless presentation of research results through the creation of informative figures and images for publication and team access.
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Software EngineerOpentext Sep 2021 - Aug 2023Bengaluru, Karnataka, India- Developed and deployed key features for Finops to manage the cloud costs by leveraging cost optimization strategies and best practices with an estimated cost reduction of 30%.- Designed and implemented Facade API’s to integrate multiple REST API requests, making the service more user-friendly and enhancing performance by 20%.- Automated several test cases using Selenium and Java to test the newly introduced features, thereby increasing automated test case coverage by 20%, reducing testing time, and improving product quality. -
R&D InternMicro Focus Apr 2021 - Sep 2021- Designed and implemented a project focused on Restful Web Services by utilizing Spring Boot, Hibernate, and PostgreSQL database to streamline Employee Management.- Achieved 80% Code Coverage through Comprehensive Unit Testing, elevating Code Quality with the effective use of Mockito.
Madhurya Shankar Education Details
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Data Science
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9.68 Cgpa -
Sadvidya Semi-Residential Pu College93.83% -
Jss Public School9.60 Cgpa
Frequently Asked Questions about Madhurya Shankar
What company does Madhurya Shankar work for?
Madhurya Shankar works for Institute For The Quantitative Study Of Inclusion, Diversity, And Equity
What is Madhurya Shankar's role at the current company?
Madhurya Shankar's current role is Research Fellow @ QSIDE | Graduate Research Assistant @ MSU | Masters in Data science at MSU | Ex-Software Engineer at OpenText.
What is Madhurya Shankar's email address?
Madhurya Shankar's email address is ma****@****ute.org
What schools did Madhurya Shankar attend?
Madhurya Shankar attended Michigan State University, Jss Science And Technology University, Sadvidya Semi-Residential Pu College, Jss Public School.
Who are Madhurya Shankar's colleagues?
Madhurya Shankar's colleagues are Zofia Stanley.
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