Data Analyst Event Manager

Marin Maya Azhar

NYC C: 917-***-**** *****.*****@*****.*** GitHub Linkedin

EDUCATION

Queens College of The City University of New York

Bachelor of Arts: Applied Mathematics, minor in Computer Science 08/2017 to 01/2022 Relevant Coursework: Data Science and Machine in R, Bayesian Statistical Modeling, Advance Probability SKILLS

Programming Languages: Python, R, SQL,

Applications and Technologies: Microsoft Excel, Salesforce, ServiceNow, Retool, Beekeeper RELEVANT EXPERIENCES

UPchieve, NYC 06/2022 to 1/2023

Intern – Program Coordinator

● Developed Retool dashboards using SQL to allow school partners to track and analyze student usage data.

● Automated the creation of 400+ digital certificates and weekly email lists using Python Pandas and CV2. Additionally provided documentation for future customization.

● Utilized SQL to extract user data and conducted a six-month Slack audit to generate insight metrics on slack vs non-slack members.

CUNY Tech Prep, NYC 06/2021 to 06/2022

Fellow – Data Science

● Selected for a technical training program, as one of 183 students out of 400+ applicants

● Learn in-demand technologies like Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL as well as industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data

Nomura Securities, NYC 06/2019 to 08/2019

Intern – Data Analyst

● Designed analytics dashboards using Salesforce Einstein Analytics, gaining expertise in data visualization.

● Created custom automated data pipelines to transform big data datasets into aggregated tables for Al-based predictive analytics, resulting in optimized sales strategies.

● Presented analytical insights and recommendations on AI implementations to engineering stakeholders in a final presentation.

LEADERSHIP EXPERIENCE

Girls Who Code at Queens College 12/2020 to 05/2022 Student Lead – Project and Event Manager

● Develop and promote 15+ various events during the semester, including technical workshops, networking sessions, recruitment panels, and social events, with average attendance 40 - 70+ students.

● Coordinated and facilitated communication with different stakeholders, including recruiters from outside organizations, faculty contacts, and the general student body.

● Managed Github page to serve as a student platform for resources and documentation for technical workshops, including regularly peer reviewing workshop curriculum and code. PROJECTS

Startup: Easy Meets (Pitch Deck)

● First place winners of the 2022 CUNY New Ventures Accelerator pitch competition program.

● Gained entrepreneurial skills and knowledge on startup financials and business planning.

● Currently working with team and mentors to create an Easy Meets app prototype on React Computer Vision: Are they happy? (Github)

● Created an image classifier using machine learning to distinguish happy and sad facial expressions, with the goal of helping those with emotional agnosia understand facial expressions.

● The classifier allows users to input an image of a person and receive a predictive probability distribution of 3 different facial expression classes.

● Implemented Random Forest Classifier, Logistic Regression, and Neural Networks using Python, scikit-learn, Numpy, Pandas, and Tensorflow, achieving validation accuracies of 80%, 83%, and 88% respectively.

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