Data Visualization Social Media

SWETHA SUBRAMANIAN

+1-774-***-**** ******.*****@*****.*** Linkedin New York, NY

EDUCATION

THE NEW SCHOOL New York, NY MAY 2024

Master of Science: Media Management GPA: 4.0

Relevant coursework: Quantitative Methods, Advanced Quantitative Methods, Data Visualization & Information Aesthetics NEW HORIZON COLLEGE OF ENGINEERING Bangalore, India JUN 2013 - MAY 2017 Bachelor of Engineering: Electronics and Communication TECHNICAL SKILLS

• Quantitative Methods: Z-score, T-test, F- test, ANOVA, Chi-square test, Phi & Cramer’s V, Gamma and Spearman’s Rho

• Tools: Kinesso Audience Console, Nielsen Ad Intel, Infegy, Survey Monkey, Qualtrics

• Programming: R, SQL (MySQL, Navicat), Python: Pandas, Numpy, Scikit-Learn, TensorFlow, JavaScript

• ML: XGBoost, Regression, K-means Clustering, Principal Component Analysis, Support Vector Machines, Random Forest

• Data Visualization: Google Data Studio, Tableau, Adobe Illustrator, Mapbox EXPERIENCE

FCB New York New York, NY

Associate Analyst JUL 2024 - OCT 2024

• Streamlined ETL processes and developed data pipelines, transforming raw media data into 30 categorized features for XGBoost algorithm used in optimizing Centrum menopause multivitamin campaigns

• Analyzed over 500 attributes related to engagement behaviors for the Whitney Museum; findings directly contributed to optimizing target strategies for the ‘Edges of Ailey’ exhibit through actionable insights

• Extracted data from Google Analytics, Brandwatch, and Sprinklr to create FDA reports using data from online and social media; performed QA for 30 campaigns and over 1000 creatives; generated UTM codes using advanced Excel templates

• Delivered a training on survey design covering 6 question types, 13 best practices, and statistical sampling techniques for calculating optimal sample sizes; demonstrated SurveyMonkey integration with Savanta for real-time data collection and insights on reverse-engineering questions based on strategic goals THE NEW SCHOOL New York, NY

Student Assistant Specialist: Institutional Effectiveness and Assessment (IEA) SEP 2023 - MAY 2024

• Collaborated with the Assistant Provost of IRDS on data analysis, survey design, and visualization to evaluate student experience, analyzing NSSE and SNAAP surveys to drive strategic decisions across six academic departments

• Automated the graduate outcomes data project by developing an employer classification model using R

• Innovated in developing the monthly IR Digest through data analysis, visualization design, and draft commenting

• Advised the IR department to use statistical data and enhance prospective student experiences during campus tours ENCOMPASS DESIGNS PVT LTD Mumbai, India

Data Set compiler & Digital Marketing Consultant MAY 2019 - AUG 2022

• Developed comprehensive datasets for an Integrated Electronics Object Model, leading to the successful detection and retrieval of over 5000 unique objects from catalogs; facilitated instant pop-up ad deployment across digital platforms INDEPENDENT PROJECTS

Music Genre Classification using Neural Networks with Python JAN 2024

• Built and trained a neural network on a dataset of 10,000 tracks to optimize playlist suggestions for audio streaming, achieving 70% accuracy to increase platform usage

OLS regression to find factors driving the academic performance of a school with R MAR 2023

• Identified KPIs of academic performance and engineered a hierarchical linear regression model using data from 300 schools, achieving precision (p-value << 0.05) to improve student retention and strategic planning SQL code and Dashboards for a Cloud Kitchen Pizzeria with Google Data Studio FEB 2023

• Built 3 interactive dashboards for seamless inventory management, sales analysis and operations planning

• Consolidated the data from 315 orders, 111 recipes, 14 shifts, 47 ingredients using SQL code on Navicat

.

Contact this candidate