Data Analyst

BARKHA SETHIA

******.*@************.*** 857-***-**** linkedin.com/in/barkha-sethia/

EDUCATION

Northeastern University, Boston, MA Sep 2019 - Apr 2021 Master of Professional Studies, Informatics, Major: Analytics GPA: 3.9/4.0 RMD Sinhgad School of Engineering, Pune, India Aug 2012 – May 2016 Bachelor of Computer Engineering

TECHNICAL SKILLS

• Data Analytics tools: Tableau, R-studio, Advanced MS Excel, R Shiny (Statistical Analysis, Linear Regression, K-Mean Clustering, Data prep & ETL, Probability Distribution, Sampling, Bayesian Stats), Microsoft Power Point, CSS, MS Share Point

• Databases: SQL, Oracle SQL, MYSQL, Microsoft SQL Server

• Languages: R, Python, Java, C, C++

• Others: Scrum, Android studio, Eclipse, SOAP UI, Selenium, Tosca, Java Script, HTML PROFESSIONAL EXPERIENCE

Accenture Private LTD, Application Development Analyst, Pune, India Dec 2016 - Apr 2019

• Mentored and trained 12 new recruits in the application like SQL, SOAP UI, Tosca

• Designed and maintained database which includes fixing coding errors and data related problems which increased the efficiency of the code with minimum bugs

• Extracted data using SQL to eliminate redundancy in test cases resulting in creation comprehensive list of test cases reducing efforts in manual testing

• Prepared daily status reports for executive leadership that effectively communicate trends, patterns, & predictions using raw data.

• Worked in Scrum team and liaised with Client and internal team, programmers to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance. Opulent Infotech, Data Analyst Intern, Pune, India Jul 2016 - Dec 2016

• Implemented Analytical and statistical technique for hypothesis testing and Linear regression to validate data and interpretations

• Used R studio to analyze data for implementation marketing strategies, leading 20% growth in customer acquisition

• Consolidated data, developed operations and procedures, improving workflow by 10% ACADEMIC PROJECTS

Analysis of Corona Virus Data using Tableau, Excel, R

• Developed a dashboard on Tableau for Visualizing number of people recovered, infected and died in all parts of world

• Executed Data Validation to verify if the values are same as expected and Data Cleaning to eliminate the redundancy using Excel BI Solution for an office supply company

• Designed two Tableau dashboards: Sales insights and Supply chain analysis for a US based office supply company “Poppin”

• Analyzed the Key Performance Indicators (KPI) from dashboards and proposed BI solutions for strategic advantage and expansion

• Performed Market Basket Analysis on various categories of products in company King’s County data analysis using Data mining application

• Implemented Data cleaning and Data analysis to predict the sale prices of the houses in year 2014-15

• Conducted Correlation to show correlation between variables and found pricing is highly correlated with bathroom, grade, sqft

• Performed Linear regression, Random forest, Gradient boosting to get values of RMSE and R square and got Random forest is more optimal model for predicting the prices of houses Breast Cancer detection analysis using Machine Learning KNN algorithm

• Applied data analytics to predict the number of patients affected with either Benignant, Malignant type of cancer in R studio.

• Implemented KNN algorithm to predict the accuracy of the model, also used Z score classification to improve the model and its accuracy which was 98%.

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