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Digital/Data Analyst

Location:
Jersey City, New Jersey, United States
Salary:
65000
Posted:
November 13, 2017

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HARSHA RAVALA

Jersey City, NJ ***** (347) ***-**** ac3anu@r.postjobfree.com http://www.linkedin.com/in/harsha-ravala EDUCATION

New York University School of Engineering, New York, NY May’17 Master of Science in Management of Technology GPA: 3.2/4 Relevant Coursework: Economics, Business Analytics, Project Management, Marketing Manipal University Institute of Technology, India May’15 Bachelor of Technology in Mechanical Engineering

SKILLS

Tools: Excel, SQL, R Programming, Tableau, Python, MS (Access, Project, Visio, Outlook), Google Analytics, SPSS Analytics: Data & statistical analysis, problem solving, management reporting, data visualization, financial analysis, machine learning, predictive modeling, customer segmentation, marketing mix modeling Certifications: SQL: Data Reporting & Analysis, Databases: Fundamentals, Google Analytics PROFESSIONAL EXPERIENCE

Digital Analyst Intern eMedEvents, Cedar Knolls, NJ Mar’17 – present

• Identified and utilized digital assets that showed strong sales impact and significant return on investment; determined key performance indicators to be analyzed and reported to the social media team, marketing manager and executive team

• Defined metrics for marketing campaigns and measured them according to healthcare professionals’ behavior and business impact, acquiring over 4000 customer profiles

• Designed and performed A/B testing on multiple advertisement designs and target audiences to optimize ads for marketing campaigns

Graduate Data Analyst NYU Wireless, Brooklyn, NY May’16 – May’17

• Designed and developed dashboards using Excel and Google analytics to produce visualized web traffic reports biweekly

• Collected and centralized financial data to improve data accuracy; forecast for advanced planning and communicated the findings to higher management, which resulted in savings of almost $10,000

• Presented ad-hoc reports to department heads for further elicitation of needs using Google Analytics and Tableau Business Analyst SSH Engineering Solutions, India Oct’13 – Apr’15

• Gathered and streamlined Business needs and new requirements; responsible for designing the process flow for sales

• Analyzed sales data by generating Business intelligence reports to find actionable insights that helped sales team to target customers; worked with marketing and sales team to ensure the BI reports complemented their evolving needs

• Perform predictive analytics on sales forecast and market position which helped cut down loss of sales by 23% in 4 months ACADEMIC PROJECTS

Restaurant Brand Analytics(freelance) Union Analytics, NY Oct’16 – Dec’16

• Implemented Radom Forest (Machine learning using R) predictive model to analyze current operations and possible locations for new market entry for over 40 Fast food restaurant chains like McDonalds and Chipotle

• Designed an interactive shiny R application which provided the user with data visualizations with customer satisfaction, location based and operational metrics; Visualized the data on Tableau to generate behavioral insights Business Analytics Tandon School of Engineering, NY Sep’16 – Dec’16

• Analyzed Citi Bike’s Subscriber data to perform exploratory analysis, build statistical models and suggest improvements to their pricing strategy and inventory availability; Created classification model (decision trees) for the US income dataset into income classes

• Developed a linear regression model to predict the nature of Progresso Soup’s sales data and forecast their future sales; performed A/B testing on the wording options of a webpage based on the click-through rate

• Created data visualizations in Tableau for DOHMH NYC restaurant inspection data, including bins, dual-axis charts, statistical visualizations, multivariate data and slicing; answered ad hoc questions using these visualizations

• Performed Time-Series analysis on prices of Gold and Oil to prove correlation & determine which is the profitable investment using R

• Carried out frequency and sentiment analysis on Trump’s election speeches to summarize his linguistic effectiveness



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