Software Engineer, Graduate Teachign Assistant in Data Visualization

Lekha Cheruku https://www.linkedin.com/in/lekha-cheruku

+1-857-***-**** *******.*@*****.***.*** Boston, MA 02120 Availability: May 2020 - Dec 2020 for Internships/Co-op’s EDUCATION

Northeastern University Boston, MA

Master of Science in Data Analytics Engineering; GPA: 3.6/4.0 Sept 2019 - Aug 2021 Sreenidhi Institute of Science and Technology Hyderabad, India Bachelor of Technology in Information Technology; GPA: 3.2/4.0 Sept 2013 - June 2017 Indian School of Business (ISB) Hyderabad, India

Technology Entrepreneurship Programme; GPA: 3.7/4.0 Aug 2015 - June 2017 Related Courses: Database Management, Probability, Statistics, Design and Analysis of Algorithms, Data Warehousing, Data Mining, Cloud Computing, Operations Research, Operating Systems, Big Data Analytics, Data Visualization (Teaching Assistant) SKILLS

• Programming Languages: Proficient - Python, R Exposure - Java, HTML, Angular JS

• Database Software/Tools: MySQL, Tableau, MS Excel, RShiny, Splunk, NoSQL

• Data Analysis: Pandas, Numpy, Scikit-Learn, matplotlib, ggplot2, VLOOKUP, Pivot Table WORK EXPERIENCE

Accenture Service Pvt. Ltd., [Samsung Client] Hyderabad, India Associate Software Engineer Nov 2017 - May 2019

• Collaborated with the SAP Hybris Tool deployed by Samsung Company and coordinated logistics of products

• Performed reporting through Business Intelligence and Reporting Tool to facilitate decision making

• Developed and customized scripts in Splunk to fetch back-end data and automate querying tasks

• Automated processes in the application to improve turn-around time by 97%

• Monitored Splunk dashboards and improved efficiency of the application by 10%

• Generated and presented business reports to executive leadership Graduate Teaching Assistant Boston, MA

Data Visualization Jan 2020 - Present

• Mentored and facilitated a better understanding on conceptualizing and structuring data using R for a class of 60 students

• Evaluated and assisted graduate students on assignments; guided them on data visualization projects using Tableau ACADEMIC PROJECTS

Predictive Analysis of Employees Absenteeism at Work [Python, SQL, Tableau] Dec 2019

• Performed data preprocessing using toolkits like Pandas and NumPy to clean and restructure the data

• Built logistic regression model with an accuracy of 75% to predict the probability of an individual being excessively absent from work

• Integrated the obtained model with SQL by creating a database to perform joins and sub queries; identified predictors that contribute to their absence and produced visualizations using Tableau Statistical Analysis of Rice Production Across Indian Farms [R] Dec 2019

• Performed exploratory data analysis, correlation plots to understand the relation between rice price and other variables of the dataset; conducted goodness of fit tests to understand distributions, performed hypothesis tests

• Designed a linear regression model to predict future price and yield of rice and obtained accuracy of 85% The Startup Expansion Analytics [Tableau] Oct 2019

• Focused the visualization on key business objectives like avg revenue, avg marketing spend, avg ROMI per city etc which provide actionable business insights

• Executed cross database joins and created clusters on the datasets of 150 locations

• Identified the top 10 locations that has the best potential for the company to invest its funds into marketing Retail Sector Forecasts [Tableau] Oct 2019

• Created interactive dashboard of retail industries of 7 Australian states to gain insights using Tableau

• Performed time-series blending and forecasting to predict future trends of these industries World Health Trends [Tableau] Sep 2019

• Worked with datasets of over 50 countries; blended and sorted them in order to analyze the health trends

• Created animated dashboard that shows trend in fertility, life expectancy and population of all countries

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