Data Analyst Digital Marketing

Vividha Chaudhari

Chicago, IL Phone: 920-***-**** Email: ******************@*****.*** LinkedIn: linkedin.com/in/vividha-chaudhari Data Analyst with over 5 years of experience specializing in digital marketing analytics. Skilled in gathering, analyzing, and visualizing data to support data-driven decisions. Proficient in SQL, Python, R and data visualization tools like Tableau & Power BI, with a proven ability to translate business requirements into actionable insights and collaborate effectively with stakeholders to drive successful outcomes. EDUCATION

Master of Science in Management Information Systems (MIS) GPA: 3.87 Aug 2022 – May 2024 Northern Illinois University

Bachelor of Computer Applications Aug 2012 – May 2015 Savitribai Phule Pune University (Formerly, University of Pune) – India Certifications: Microsoft Certified Power BI Data Analyst Associate, Data Analytics Using SAS Software - SAS Joint Certificate Program, Digital Marketing Certification, Google Analytics, Google Ads Fundamentals SKILLS

Programming & Data Visualization: SQL, Python, R, C, C++, Java, JavaScript, MATLAB, HTML, DAX, Tableau, Power BI Tools & Technologies: MS Excel, Snowflake, SAS Enterprise Miner, SAP S/4 HANA, JIRA, MS Visual Studio, VB.NET, NodeXL, Wireshark Areas of Expertise: Data Analysis & Visualization, Forecasting, Machine Learning, Big Data, Data Modeling, Data Mining, Data Structures & Algorithms, Object-Oriented Programming, Database Management, Entity-Relationship Modeling, Project Management, Business System Analysis & Design, Sentiment Analysis, Social Media Analytics, Enterprise Resource Planning with SAP, Network & Cyber Security. PROFESSIONAL EXPERIENCE

Research Assistant, Northern Illinois University, DeKalb, USA May 2024 – Present

• Designed and deployed a Shiny app for hosting online exams, integrating Google Sheets integration for authentication, data storage, and user performance tracking.

• Managed deployment on the Shiny app server, ensuring seamless access and functionality for users.

• Preprocess and extract information from large text datasets for analysis.

• Analyze chatbot user interactions to identify patterns in sentiment and emotion.

• Design dashboards to monitor chatbot performance and provided insights for improving user experience. Digital Marketing Analyst, Net Protector Antivirus, Pune, India Sep 2019 – Oct 2020

• Led an analytics team of 4 members, providing solutions on search engine optimization, display advertising metrics, and social media marketing, while incorporating data analysis to optimize strategies.

• Developed data-driven marketing strategies for customer segmentation and budget analysis across multiple channels.

• Achieved around 40% increase in website traffic through effective page layout analysis, content maintenance, and on-page SEO analysis.

• Governed website performance using Google Analytics, resulting in improved user experience and engagement.

• Increased monthly unique visitor metrics by 20% through advanced data analysis of advertising and website analytics.

• Enhanced website conversion rate by 15 percentage points through data-driven A/B testing and strategic adjustments.

• Developed Tableau reports and dashboards showcasing KPIs and actionable insights for stakeholders. Senior Associate, eDealinfo USA Inc, Pune, India July 2015 – Aug 2019

• Implemented eCommerce-driven product promotion for 15000+ merchants via email marketing, online advertising, and social media.

• Managed the affiliate marketing program, maintained relationships with affiliates and partners, and monitored campaign performance, resulting in a year-over-year revenue increase of over $200K.

• Leveraged PuTTY and SQL for data extraction, respectively, and applied Excel skills to glean valuable insights from a vast affiliate database.

• Formulated impactful strategies for generating compelling website content, ensuring alignment with overarching goals and engaging target audiences effectively.

ACADEMIC PROJECTS Aug 2022 – May 2024

• Developed a predictive model in R to forecast average daily rates for over 3,000 hotels. Applied advanced regression techniques, achieving a 95% accuracy rate, which provided dynamic pricing insights and enhanced revenue management strategies.

• Utilized SAS for a comprehensive data analytics project on gun violence. Employed ETL processes for data integration and applied statistical modeling to uncover trends and relationships, leading to actionable insights for policy recommendations.

• Optimized ULINE’s distribution network using Python & Tableau reducing delivery time by 20% while demonstrating expertise in data storytelling and dashboard design to improve customer satisfaction through strategic warehouse placement. (link to dashboard)

• Leveraged R for analyzing customer behavior and purchasing patterns. Extracted insights to develop strategic customer segmentation, resulting in targeted marketing initiatives and a 20% increase in conversion rates.

• Designed and implemented a database for an Art Gallery using SQL Server and MS Visio. Expanded system functionalities, ensuring business requirements alignment while maintaining compliance with the initial setup.

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