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Software Developer

Tempe, AZ
April 24, 2021

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Vineetha Yarlagadda

+1-602-***-**** LinkedIn Profile

Academic Details

Arizona State University, Tempe, Arizona

●Master of Science in Information Technology

Graduating May 2021

CGPA: 3.93/4

Course work - Data Visualization, Advanced Database Management Systems, Advanced Big Data Analytics, Data Structures and Algorithms, Software Development for Information Technology, Data Processing at Scale, Managing the Cloud

GITAM University, Visakhapatnam, India

●Bachelor of Technology in Computer Science

Work Experience

Software Developer, Wipro Limited, India August 2015 – May 2019

Clients: Change Health Care, Emerson Electric Co.

●Involved in agile/scrum methodology for developing and enhancing RICE components for several ERP modules

●Headed a team of four and migrated over 100 TB data using ETL tools and several existing applications from SAP/Oracle11i

to Oracle R12 within three months

●Enforced design discussions and meetings with the clients as part of requirement gathering process

●Carried out data extraction, data cleansing, data loading for different ERP modules based on functional requirements of the client

●Formulated SQL scripts for views, tables, sequences, triggers, procedures, conversion, and interface packages

according to the technical requirements of the client

●Built unit test cases for several ERP functional and technical modules to ensure code coverage was always >95%

●Administered migration on several existing applications from Relational Database to Couchbase (NoSQL Database),

reducing response time of components by 15%

●Organized quarterly volunteer projects and several cultural events

Academic Projects

Real time tracking for a taxi firm Fall 2020

●Developed spatial queries to find the all the taxis available in an area for a customer and to find the customers waiting to board a taxi at a certain distance from it using Spark SQL

●By analyzing the geographical data, the taxi firm can get an insight into current trends of their operation. For example, the hot zone analysis can process and output “hot” areas (that is, areas with large customer demands), and that data can be further visualized for presentation. Hot cell analysis, on the other hand, can identify statistically significant hot spots

Anomaly Detection in Social Networks Fall 2020

●As part of the course curriculum made a survey on different types of anomalies present in the social networks and

discussed how to detect them using supervised, unsupervised and semi supervised machine learning techniques.

Visualizing the Suicide statistics of the United States Spring 2020

●Created a dashboard with user controls in tableau to visualize suicide statistics of United States

●Structured a dashboard with five charts giving a clear visualization of number of suicides, different types of

suicides, age groups, gender, ethnicities of people

Captcha Scanner using machine learning Fall 2019

●Implemented K ++ means algorithm for data clustering to detect letters and numbers from captcha images

●Performed image conversion, dimensionality reduction through t-SNE, segmentation through pandas, NumPy,

sk-learn and matplotlib libraries to extract feature values .

●Designed and trained a model to detect text present in captcha images and achieved an efficiency up of 85%

Application to measure the effect of Angle of Incidence in Solar Panels Fall 2019

●Simulated a desktop application to evaluate effect of angle of incidence on power generation in solar

panels using PyQt5 and SQLite

●Maximized power generation by assessing the impact of angle of incidence and by finding an optimal angle


●Programming Languages: Java, Python, R, Scala, PL/SQL, SQL, T-SQL, bokeh

●Web Technologies: HTML, JavaScript, JSON, XML, Node.js, React.js, AngularJS, SOAP UI, Restful Web Services

●Databases: MySQL, Oracle, SQLite, PostgreSQL, MS SQL Server

●Libraries and Frameworks: Pandas, NumPy, Scikit-Learn, Apache Spark, Hadoop, Oracle EBS

●Platforms and tools: Tableau, Azure, Jupyter, Databricks, MS Office, AWS, Github, SQL* Loader,

●Operating Systems: Windows, Linux

●ERP modules: CRM, SCM, Financials, Inventory, HRMS, Order Management

July 2011 - May 2015

CGPA: 8.64/10 (3.96/4)

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