Isha Mahadalkar

Graduate Research Assistant

National Science Foundation•  August 2022 - May 2024•  Remote

• Researched and identified key trends in GIS education to inform development of learning materials, resulting in a 30% increase in student engagement. • Collaborated with GIS experts to formulate in-depth case studies and real-world examples for ArcGIS, creating tutorials and incorporating them into graduate level coursework with 30+ students, improving learning outcomes by 20%. • Facilitated weekly project meetings with cross-functional teams to coordinate research efforts, presenting research findings from various experiments and studies at 2 national conferences and poster sessions.

Data Visualization Analyst

Purdue University•  August 2022 - May 2024•  West Lafayette, IN

• Conceptualized, designed, and developed a Data Visualization Capacity (DVC) tool, improving visual literacy for 350+ students each semester, fostering a dynamic learning environment. • Conducted in-depth user studies utilizing Python for data cleaning, Minitab for statistical analysis, and Tableau for creating dashboards to assess tool impact, resulting in a 65% increase in user satisfaction metrics from previous versions. • Collaborated with educators to integrate DVC tool into curriculum, executing hybrid teaching models utilizing interactive learning space, resulting in a 30% improvement in student performance on assessments.

Data Science Researcher

Tesla Motors•  January 2023 - May 2023•  Sparks, NV

• Developed and implemented data ingestion pipelines for 188,000 text records, utilizing data cleaning, feature engineering, and extraction techniques in an NLP model, resulting in a 40% reduction in manual data processing time. • Devised and executed a novel algorithm leveraging a dense neural network model with semi-supervised learning techniques to classify maintenance records, achieving an impressive validation accuracy of 64.4%. • Applied time-series forecasting, anomaly detection, and LSTM prediction models to analyze battery production data, identifying underperforming equipment and predicting potential failures, resulting in enhanced maintenance planning and reduced downtime.

Purdue University, West Lafayette

Computer Graphics Technology, MS•  August 2022 - May 2024•  GPA: 4

Activities and societies: Graduate Data Science Researcher @ Tesla Graduate Research Assistant @ Byrd Vis Lab NSF I-GUIDE Student ResearcherActivities and societies: Graduate Data Science Researcher @ Tesla Graduate Research Assistant @ Byrd Vis Lab NSF I-GUIDE Student Researcher M.S Computer Graphics Technology Concentration in Data Analytics and Visualization Publications: [1] Mahadalkar, I., & Byrd, V. L. (2023). Data Visualization Capacity (DVC) building tool for teaching and learning data visualization. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1–5). IEEE. https://doi.org/10.1109/fie58773.2023.10343281 [2] Mahadalkar, Isha Ashish (2024). Unlocking Insights: A Modular Approach to Data Visualization Education with the Data Visualization Capacity Tool. Purdue University Graduate School. Thesis. https://doi.org/10.25394/PGS.25648041.v1 Posters: [1] Data Visualization Capacity (DVC) Building Tool for Teaching and Learning Data Visualization @ Gordon Research Conference 2023 [2] Automatic Classification and Prediction Using Text Dispatch Data @ The Data Mine Symposium 2023 Relevant Coursework: IT Data Analytics, Big Data Machine Learning, Data Visualization Tools and Applications, Creative Data Visualization, Statistical Methods and Analysis

Purdue University, West Lafayette

Computer Science, BS•  May 2018 - December 2021•  GPA: 3.52

Activities and societies: Global House Peer Program Mentor Computer Science Women’s Network American Indian Foundation Activities and societies: Global House Peer Program Mentor Computer Science Women’s Network American Indian Foundation B.S. Computer Science Double Concentrations in Software Development and Machine Intelligence • GPA: 3.52/4.00 • Relevant Coursework: Object-Oriented Programming, Computer Architecture, Data Structures and Algorithms, Systems Programming, Software Engineering, Software Testing, Software Development, Data Mining and Machine Learning, Information Systems and Databases, Compilers: Principles and Practice, Analysis of Algorithms, Web Information, and Systems, Intro to Statistics, Probability, Discrete Mathematics, Multivariate Calculus, Linear Algebra, Microeconomics, Macroeconomics • Awards & Honors: Semester Honors – Spring’20 • OUR Scholar