Mehul Goel

● Support incoming students in transitioning to NYU by providing guidance on academics, campus life, and the CDS community. ● Provide clear and timely information about the MS in Data Science program, answering questions from prospective and admitted students before application and after admission. ● Engage with admitted students through 1:1 conversations and events, helping them navigate graduate life, community building, and early career planning. ● Represent the CDS student experience at admissions events and contribute to student-facing communication and content initiatives, while serving as a peer bridge between incoming students, current cohorts, and program leadership to foster an inclusive and supportive community.

● Deployed Azure AI Services (OpenAI, NLP, Computer Vision, Speech Recognition) and ML solutions for over 350 Microsoft clients, achieving a 4.72/5 client satisfaction rating. ● Conducted code reviews and optimized Azure service implementations using Postman REST APIs and Python SDKs, ensuring compliance with industry best practices. ● Demonstrated expertise in Generative AI techniques, including LangChain, RAG, and Prompt Engineering, facilitating the efficient deployment of LLMs and predictive models. ● Reported and escalated infrastructure outages and bugs to Azure product teams, ensuring prompt resolution and service continuity while soliciting user feedback to prioritize feature enhancements. ● Facilitated knowledge transfer sessions for 40+ new hires, expediting onboarding and improving integration into workflows. ● Recognized as Employee of the Month twice for consistently exceeding performance expectations and delivering high-quality solutions.

● Designed an intermediate Python online course for high school students on the FutureLearn platform. ● Analyzed student performance data to enhance assignments and course content. ● Identified questions with low student scores and retention rates and improved them. ● Detected and corrected bugs in questions to boost student engagement. ● Achieved a more than 25% increase in new user registrations.

● Taught advanced data science techniques, including data analysis and modeling, to first-year graduate students in SI618 – Data Manipulation and Analysis. ● Organized office hours to address student inquiries and clarify course content. ● Reviewed daily class lab assignments and weekly homework assignments for over 20 students, assisting the professor with grading.

● Capstone Project - Developed an NLP model to automate the coding of text excerpts into structured columns. ● Conducted exploratory data analysis and created visualizations to present insights to the client. ● Researched various pre-trained NLP models, including BERT, ELECTRA, and SpaCy. ● Utilized SpaCy and Scikit-learn to build features, extract keywords, and perform feature analysis for classifier model development. ● Achieved high accuracy and F1 score, completing the project one week ahead of the deadline.

● Analyzed user data to identify patterns and behavior related to app features. ● Identified improvement areas, leading to over a 75% increase in user growth. ● Managed SEO and ASO efforts to enhance the company’s visibility and relevance. ● Created dashboards to attract investors and demonstrate company growth.

● Managed a software testing team to identify bugs within the mobile application. ● Created bi-weekly reports to provide testing insights and support the software development team in resolving issues.

● Collected, transformed, cleaned, and modeled large datasets to derive customer business insights. ● Built a Python script to web scrape data on over 500 restaurants in New York City, focusing on their menus. ● Developed an NLP model to tokenize and extract critical items from the scraped data. ● Created a chatbot hosted on Azure to present critical findings interactively to clients

● Cleaned and transformed 6-month loan payment history data for data modeling. ● Identified and resolved data outliers and missing values within the data set. ● Designed and developed a pipeline to create dummy variables and prepare data for modeling. ● Conducted Extrapolatory Data Analysis, created visualizations, and identified key variables responsible for loan defaults. ● Contributed to reducing the organization's risk profile by building a predictive model to assess future risk factors in clients' payment patterns.

● Proficient in Exploratory Data Analysis, Data Modelling, and ML Predictive Analysis. ● Intermediate Knowledge in Economics ● Achieved University Honors for Winter 2022 ● Achieved University Honors for Fall 2021 ● Achieved University Honors for Winter 2021 ● Achieved University Honors for Fall 2020

● Transferred after completing my Sophomore Year to the University of Michigan. ● Developed Basic Skills in Computer Programming and Software Development.