Ishani M.

• Provided academic support for 100+ graduate students per session across advanced data science courses, including Unsupervised Machine Learning, Relational Database Design, and Climate Modeling with ML. • Managed high-volume technical queries via office hours and Salesforce, translating complex statistical and algorithmic concepts into easy-to-understand explanations for students. • Conducted in-depth grading of open-ended ML and SQL assignments, reinforcing best practices in model evaluation, data preprocessing, and relational schema design. • Supported final projects involving climate anomaly detection and forecasting extreme climate behavior using regression, time series models, and supervised learning techniques. • Played a key role in fostering applied learning in a fully online, asynchronous environment by bridging theoretical content with practical, real-world data science applications.

• Graded assignments, quizzes, and exams for 100 students in CVEN 3227-001: Probability, Statistics, and Decision, ensuring accuracy and consistency in evaluation. • Provided detailed feedback on student work, identifying errors and suggesting improvements to enhance understanding of statistical concepts and decision-making principles.

• Automated preprocessing of 5M+ multi-year records with Python, handling nulls, schema mismatches, and anomalies to enhance data integrity for modeling. • Conducted EDA using pandas, NumPy, and seaborn to surface structural patterns and quality gaps through heatmaps and distribution analyses. • Built Power BI dashboards comparing pre- and post-cleaning datasets, enabling analysts to validate transformations and assess data readiness.

• Utilized Google Analytics to derive statistical insights, evaluating metrics such as the number of sessions, percentage growth/decrease in conversion, and cost-per-click for targeted pages and campaigns, thereby optimizing marketing effectiveness. • Leveraged Quantum Metrics to monitor and visualize real-time user sessions on the website, gaining insights into conversion rate, bounce rate, and exit rate. This deep understanding facilitated strategic enhancements, directly improving the overall user experience.

• Collaborated on the development of front-end web applications for the University of North America, employing techniques in HTML, CSS, and ReactJS to ensure optimal user experience. • Spearheaded the revamp of the University of North America's legacy website, delivering a modernized interface that better represented the institution's values and offerings. • Prioritized cross-browser and cross-device compatibility, ensuring seamless user access and experience across a range of technology environments.