Social Media Data Analyst

SHREYAS KRISHNA

617-***-**** *** Riverway, Boston, MA 02115 *******.*@*****.***.*** linkedin.com/in/shreyas-krishna SUMMARY

Data Analyst with professional experience in e-commerce, currently volunteering at Northeastern University on project connecting volunteers and researchers. Proficient in SQL and Excel, highly skilled in R/Python with a background in computer science engineering. Possess EAD to start work immediately! TECHNICAL SKILLS

● Programming Skills: R, Python, SQL

● Tools: Excel, Tableau, MS BI, MS

Office, Google Analytics, Ahrefs

● Databases: SQL Server, MySQL

● Data Science libraries: Sci-kit learn, Keras,

Matplotlib, Pandas, Dplyr, ggplot2, plotly

WORK EXPERIENCE

Wayfair, Business Analyst Co-op Jan 2019 – Jun 2019

● Analyzed trends in CTX metrics during backorders to study operational inefficiencies and define data-driven threshold for critical backorder cases

● Recommended funneling critical backorder cases directly to high-level customer service teams to potentially increase NPS score 10-15 points

● Slashed time spent 90% by writing R script to automate attribution model studying the impact of each business vertical on NPS

● Created database on MS SQL server to analyze impact of Wayfair’s order-to-delivery process on customer experience (CTX)

Intelli Bookkeeping, SEO Analyst Intern Sep 2017 – Dec 2017

• Oversaw increase in company website’s domain rank score of three keywords by at least 6 as project lead

• Implemented social media engagement strategies that resulted in 300% increase in company’s twitter following

EDUCATION

Northeastern University Boston, MA

MS in Engineering Management (Data Analytics), GPA: 3.7/4 Dec 2019 Coursework: Data Mining, Database Management and Design, Data Visualization, Data Warehouse and BI, Probability & Statistics M S Ramaiah Institute of Technology Bangalore, India Bachelor of Engineering, Information Science & Engineering Jun 2016 Object Oriented Programming, Database Management Systems PROJECTS

Employee Churn

● Analyzed employee termination patterns w.r.t employee age, department, length of service, termination year using ggplot2, plotly

● Predicted employee termination 98% accuracy using ADA boost classification model with AUC value of 0.75 Vertical Search Engine for Agricultural domain

● Designed Java based search engine built on a Naïve Bayesian classifier to retrieve and parse html/xml results

● Built web crawler using JSoup libraries to collect data by extracting webpages recursively through outward links of seed URLs

● Modified vector space model with addition of a new dimension which facilitates ranking results based on position of keywords in the web content

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