Hello, I'm Ameya Kshirsagar, a dedicated data enthusiast currently pursuing Master of Science in Computer and Information Science at the University of Wisconsin-Madison, with a solid foundation in Data Analysis.My career has been centered around transforming complex data into actionable insights. I've held roles as a Data Science Research Executive, Machine Learning Engineer, and Business Analytics Intern. I thrive on conducting data analysis and developing machine learning models. I've even presented a paper on AI and ML at Stanford University.My technical toolkit includes Tableau, Power BI, Excel, Jupyter, Python, C++, SQL, Scikit-Learn, Numpy, and Pandas, among others. I've worked on Forbes billionaire data analysis, generated data-driven insights, and improved user engagement.Outside my professional life, I'm passionate about contributing to open-source projects and using data to drive smart decision-making.If you're looking for an analytical professional who delivers results and is dedicated to data-driven excellence, let's connect. Reach out to me at kshirsagar2@wisc.edu for any data-related collaborations or inquiries.Skills: Data Analysis, Machine Learning, Predictive Modeling, Data Visualization, Python, SQL, Tableau, Power BI, Project Management, Statistics.
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Data AnalystIcfUnited States -
Data AnalystField Day Lab May 2024 - PresentUnited States -
Data Science InternField Day Lab Jun 2023 - May 2024United States• Investigated predictive measures for child learning and cognition development in educational games and analyze complex datasets at AquaLabs using statistical and ML techniques.• Achieved a 50% increase in children-user engagement by developing and introducing cutting-edge time-location features for assessment.• Accomplished 40%-50% in user engagement by executing features in Field Day's OpenGameData platform, a Python-based analytics suite.• Realized a 30% increase in average time spent on educational activities by creating learning experiences and analyzing educational games -
Data Analyst (Program Development Scholar)University Of Wisconsin-Madison Sep 2022 - May 2024Madison, Wisconsin, United States• Directed all aspects of the data lifecycle, including data collection, scraping, and project dataset development. • Realized a 110% boost in program applications & led data-driven decision-making by conducting data analysis & interpretation from sources. • Maintained highest data quality standards and facilitated analysis by implementing data cleaning, transformation, and validation protocols. -
Data Science Research ExecutivePandit Deendayal Energy University May 2020 - Aug 2022Gandhinagar, Gujarat, India• Integrated machine learning and artificial intelligence applications in healthcare, environment, finance, and petroleum industry.• Classified geothermal micro-seismic event classification and predicted subsurface temperature by deploying robust machine learning model.• Executed comprehensive exploratory data assessment to analyze higher education trends in Gujarat, India. • Forecasted Covid-19 trend patterns by utilizing machine learning models.• Acquired 85% reliability in classification and knowledge extraction, with 4.75 RMSE validation through the development of machine learning models by leveraging geothermal micro-seismic event data..• Published book on "Applications of AI and ML in the Petroleum Industry” by highlighting importance of artificial intelligence and machine learning in energy sector.• Amplified prediction accuracy by up to 96.8% by deconstructing unit data from organic 3D photovoltaic cells and optimizing prediction for key JSC, VOC, FF, and Efficiency (%). -
Volunteer Machine Learning EngineerOmdena Aug 2021 - Nov 2021New York, United States• Realized AUC of 0.91 and accuracy of 97.05% by employing machine learning for 'Transformative.ai'.• Predicted cardiac arrest caused by pulseless electrical activity and asystole to devise healthcare solutions.• Facilitated group in successfully accomplishing sub-task by providing professional development leadership to a group of 11 members.• Decreased freshwater wastage in Egypt by ~11% (predicted) using artificial intelligence techniques and executing satellite-image analysis. -
DelegateHarvard Project For Asian And International Relations (Hpair) Jan 2021 - Aug 2021Cambridge, Massachusetts, United States• Selected as one of the delegates from 60+ countries for the HPAIR conference.• HPAIR features world-class speakers and guests to foster mentorship, networking, and guidance opportunities for delegates. -
DelegateHarvard Us-India Initiative Jan 2021 - Feb 2021• Selected amongst 6000+ applicants, networked and discussed with prominent individuals from diverse sectors like entrepreneurship, politics, NGOs & journalism.• Harvard College US-India Initiative is a student-run organization aiming to create a dialogue between Indian and American youth to address some of India’s most pressing social, economic, and environmental issues today. -
Data Science ApprenticePersistent Systems Jan 2019 - Jul 2019Pune Area, India• Automated insurance claims with image pre-processing and PyTesseract OCR• Achieved 96% accuracy• Enhanced and accelerated end-to-end online claim-reimbursement system
Ameya Kshirsagar Skills
Ameya Kshirsagar Education Details
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Information Technology
Frequently Asked Questions about Ameya Kshirsagar
What company does Ameya Kshirsagar work for?
Ameya Kshirsagar works for Icf
What is Ameya Kshirsagar's role at the current company?
Ameya Kshirsagar's current role is Data Analyst.
What schools did Ameya Kshirsagar attend?
Ameya Kshirsagar attended University Of Wisconsin-Madison, Symbiosis International University.
What skills is Ameya Kshirsagar known for?
Ameya Kshirsagar has skills like Presentation Skills, Future Trends, Information Technology, Git, Data Science, C, Lucidchart, Mendeley, Data Analysis, Keras, Tensorflow, Web Development.
Who are Ameya Kshirsagar's colleagues?
Ameya Kshirsagar's colleagues are Rachel Bartlett, Joyce Shelton, Sergey Shishov, Sean C., Clémentine Babin-Heynard, Becky Thompson, Steve Clark, Pe, Phd.
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Ameya Kshirsagar
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