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Tirth Shah is listed as Data Science Co-Op at Boehringer Ingelheim | MS in Data Science based in Bloomington, Indiana, United States. AeroLeads shows a matched LinkedIn profile for Tirth Shah.
Tirth Shah previously worked as Associate Instructor - Usable Artificial Intelligence at Indiana University Bloomington and Associate Instructor - Applied Algorithms at Indiana University Bloomington. Tirth Shah holds Master Of Science - Ms, Data Science, 3.9/4.0 from Indiana University Bloomington.
Seasoned data scientist with over 3 years of professional work experience, a master's degree in data science, and a bachelor's degree in computer science with a minor in computational science. Expert in designing, developing & deploying machine learning models, and working on advanced analytics & statistical modeling projects. Experience working with business stakeholders, understanding their business problems, and providing a data-centric solution. Passionate about applying data science to solve real-world problems and create a positive impact. I am always eager to learn new skills and technologies and explore new domains and challenges. I enjoy working with diverse and collaborative teams, and sharing my knowledge and experience with others. In my free time, I like playing cricket, cycling, reading, listening to music, and watching movies.
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Bloomington, Indiana, United States
• Associate Instructor for course INFO I513 - Usable Artificial Intelligence. Responsibilities include helping the Professor in creating course material, designing assignments, exams & projects, grading assignments & exams, and conducting office hours to solve the doubts of the students.
Bloomington, Indiana, United States
• Associate Instructor for course CSCI B505 - Applied Algorithms. Responsibilities include helping the Professor in creating course material, designing assignments & exams, grading assignments & exams, and conducting office hours to solve the doubts of the students.
Ridgefield, Connecticut, United States
• Developed statistical and machine learning-based time series forecasting models (SARIMAX, ETS, Regression, Boosting) in Python to forecast sales of 4 key medicines and improved supply chain efficiency by 27%.• Collaboratively built scalable ETL data pipelines using AWS Step Functions, processing terabytes of patient-centric data with Spark for the patient assistance platform, optimizing operational efficiency and decision-making.• Enhanced strategic planning through the implementation of Python-powered JIRA analytics dashboard,empowering managers with insights across 5000+ use case journey.
Bloomington, Indiana, United States
• Associate Instructor for the Course - CSCI B561 Advanced Database Concepts. Responsibilities include helping the Professor in creating course material, designing & proofreading assignment solutions, grading assignments & exams, and conducting office hours to solve the doubts of the students.
Gandhinagar, Gujarat, India
• Provided data science consulting services to several edtech companies, assisting them in solving complex problems through advanced analytics and machine learning resulting in the unlocking of more than $25 million in value.• Led research (4 conference publications) aimed at helping the company establish solid foundations in the fields of data mining, natural language processing, data visualization, machine learning, and algorithm optimization.• Developed a suite of quantitative and graphical algorithms in R to detect cheating patterns in national-level exams, analyzing exam data of over 5 million students. Detected 5%-7% students across various national-level exams who have very high probability of recourse to unfair means.• Analyzed and optimized existing implementation of response similarity measuring statistical algorithm with an average speedup of 50x.• Implemented Data Matching/Entity Resolution/Record Linkage algorithm and R Shiny application for efficient data integration and mapping across multiple data systems.• Provided insights on server load trends, created a predictive model for providing prediction on maximum concurrent users, resolving frequent crashes, and optimizing cloud operations cost.
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Tirth Shah is listed as Data Science Co-Op at Boehringer Ingelheim | MS in Data Science.
Tirth Shah is based in Bloomington, Indiana, United States.
Tirth Shah has worked for Indiana University Bloomington, Boehringer Ingelheim, and Playpower Labs.
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Tirth Shah holds Master Of Science - Ms, Data Science, 3.9/4.0 from Indiana University Bloomington.
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