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Data analyst

Halethorpe, Maryland, United States
May 03, 2019

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* ***** *f experience in software development, Data Analysis and Automation testing

Proficiency in python, Sql, web development, Tableau and other tools.

Experience working in Agile Environment.


University of Maryland, Baltimore county (Master’s in Information Systems) January 2018 Relevant coursework: Introduction to Data Science, Data Analysis and Machine Learning, Data mining, Decision making support systems G. Narayanamma Institute of technology and Engineering (Bachelor’s in information technology) May 2016 Relevant Coursework: C, Data Structures, Java, Web technologies, DBMS, Software Engineering, Design Analysis of algorithm, Data Warehousing TECHNICAL SKILLS

Programming Skills: C, R programming, Python, Java, Java Script, C++, PHPS, PHP Web Designing Skills: HTML5, CSS3, jQuery, JSON, Bootstrap, ASP.NET, WordPress, XML Databases: MySQL, Oracle SQL developer, MongoDB, No SQL, PL-SQL Tools and Platform: MS Office, Eclipse, SQL Developer, Hadoop, MapReduce, Tableau, Qlik Sense, SAS, Weka, R studio, Jupyter, Axure RP 8, phpMyAdmin, Microsoft Visual Studio 2013,Microsoft Vision,Netbeans,Microsoft Excel, Salesforce(CRM),Apache Spark,Selenuim Testing Tool,Andriod Studio,Jira,Neo4j, Amazon AWS-EC2,ALM Machine learning: Linear Regression, Logistic Regression, Decision Trees, Neural networks,KNN, PCA, Random Forest, K-Means Clustering, Active and passive learning, Deep learning


Accenture Pvt. ltd- Hyderabad, India June 2016 –January 2018 Software Engineering Analyst

Experience in extracting, transforming, loading and data analysis using ETL Tools, SQL, Power Bi, Excel

Analyzed Large data sets and generated reports through tableau, Excel and R

Created Dashboards and business summary reports and presented to the stakeholders.

Experience working with tools ALM, Jenkins, GIT, Selenium Grid, Docker to update the status of the automation scripts

Involved in functional study and involved in UAT, Regression Testing, Automation Testing using Java of the application RamInfo ltd-Hyderabad, India September 2014-March 2016 Business\Data Analyst

Involved in gathering the requirements that were critical to the business process flow and using those requirements for building the product backlog with epics and features, designed an efficient interactive BI Dashboard through use of Micro Strategy V10.2 report services.

Conducted JAD sessions with subject matter experts (SME’s to obtain domain level information, interviewing and asking detailed questions and carefully recording the requirements in a format that can be reviewed an understood by both business and technical teams

Involved in creating documents and diagrams for the application in a format that can be reviewed and understood by both business and technical team.

Created Uml Diagrams

Experienced in Analyzing large and complex data sets using SQL, Tableau, Power Bi, Excel, Access.

Implemented various modeling techniques on E-governance project datasets using R language and python.

Identified trends and patterns in various datasets and used tableau to report the necessary inputs for decision making.

Published reports that summarize the performance indexes with a wide range of visualizations.

Suggested changes in business process based on the analysis on the results.

Used packages such as ggplot2, stringr, plyr SciKitLearn, NumPy, Pandas, Tensor flow, Keras to perform various data analysis as needed.

Extracted data from text files, SQL Server, into excel files, transformed and loaded them in SQL database Server, using E.T.L tools like Import and Export Wizard. Fine-tuned worksheets using Pivot table, Macros and VBA.

Generated and analyzed weekly and monthly business summary reports through Tableau, Excel, and R

Created solution driven dashboards by developing different chart types including Heat/Geo/Tree Maps, Pie/Bar Charts, Circle Views, Scatter Plots, Box plots, facet grids and Histograms in Tableau and R studio.

Performed SQL database operations to ensure quantity and quality of data and translated the data into reports.

Used JIRA extensively to track the day to day scrum activities

Monitoring and creating reports of the system on daily day to day basis. PROJECTS

Black Friday data Analysis January 2019-Present

Performed Data cleaning, data visualization on Black Friday Data set to determine patterns in frequency of the data.

Applied predictive modeling and other machine learning algorithms to determine the future of a particular products sales. Zomato Data Analysis (Python, R) January 2018-May 2018

Perform analysis on Zomato dataset and found which was the best restaurant, most preferable cuisines, highest rated restaurant, most expensive restaurant

Used machine learning algorithms such as classification and K-means clustering.

Predict the price range of restaurants using neural network algorithm. Ted Talks January 2018-May 2018

Performed EDA in order to predicts the duration of the talks in the future 3 years.

Performed Data visuvilization using Tableau

Performed Text mining to retrieve the most repeated words in a word cloud. Crime prediction model for Baltimore (R, Python, Excel). January 2018-May 2018

Recognized patterns between the data sets and crime by extracting records.

Built visualizations and prediction models to accurately reflect our findings (Apriori rule mining, Regression Analysis, Recurrent Neural Network).

Enhanced models accuracy by cross validation, Confusion matrix and other methods E-Z Pass System Using SQL/PL-SQL August 2018 – December 2018

Developed a data base system for the Toll management using SQL developer.

System features implemented using PL\SQL functions, procedures, triggers and indexes for system efficiency Job Portal (Html, CSS, Java script, Sql, MongoDB, Bootstrap) Undergraduate Coursework

Design and implement a website for recruiters to post jobs, see employers resume and filter resumes based on the preferences.

Employers can apply for jobs, see the details of recruiters and employers.

Admin can approve jobs which is posted by recruiters. University based rental service August 2018-December 2018

Developed a rental based service to provide housing to students based on lifestyles and recommend nearby schools, hospitals, grocery stores and other facilities. It enables students to find their perfect home.

User can choose among various options such as pet friendly houses, no. of bedrooms, bathrooms, minimum and maximum rent, etc. Lifestyle preferences include ethnicity, smoking and drinking habits of roommates.

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