Software engineer with over 3+ years of extensive experience in .Net, C#, and Microsoft SQL Server and experience in deploying Kubernetes clusters, developing using NoSQL and modern front-end libraries and frameworks such as React and Vue. Experienced in designing and maintaining data warehouses, utilizing tools such as SSIS. Proven ability to scale large web applications.
Hi, I’m
Sai Teja Alladi
Plano,TX
Summary
Overview
4
years of professional experience
Work History
SoftTune TechItasca, IL
SQL BI Developer
07.2023 - Current
Job overview
- Developed and implemented data warehouse models for various reporting requirements using SQL Server 2008, 2012, 2014.
- Provided technical assistance to end users on data extraction, analysis and report generation utilizing SQL Server Reporting Services.
- Designed and created database systems after reviewing end user's requirements.
- Created custom views, charts, graphs, filters, parameters, and data sources to meet specific user requirements.
- Developed data models and ETL processes to extract, transform, and load data from various sources into the BI platform.
- Optimized existing SQL queries for better performance when running against large datasets.
- Maintained documentation on all aspects of the BI environment including data models, ETL processes.
IBMBangalore, Karnataka
Software Developer
02.2020 - 08.2021
Job overview
- Obtained Training on languages, databases and server forming and azure working project with team
- Operated on web development in visual studio with following databases and developments-ASP, ADO, Java Script, Python, SQL, Azure, Power BI Desktop and DAX
- Delivered a real time project with team called Movie ticket booking system with various options on live framework and assisted with e-commerce platform web development project in the database.
- Designed database structures to store data securely and efficiently.Collaborated with team members to ensure successful project completion.
IDE TechnologiesHyderabad, India
Software Testing Automation Intern
08.2019 - 01.2020
Job overview
- Created accurate and efficient test scripts in Visual Studios with Telerik to manage automated testing of certain products and features
- Designed testing scenarios for usability testing
- Carried out tests to identify, report and repair issues such as bugs and glitches
- Gathered data on integration issues and vulnerabilities and reported all findings, including improvement recommendations.
- Understood and followed oral and written directions.
Scape SolutionsHyderabad, India
Communications Engineer Intern
06.2018 - 05.2019
Job overview
- Assisted for the working project, using visual studio
- A website framework and the visualization in the visual studio using ASP and ADO.NET
- Operated with SQL database for the storage database and MYSQL.
Education
University of Texas At ArlingtonArlington, TX
06-2023
University Overview
Grade : 3.5
SRM UniversityTamilNadu,India
Bachelor of Technology in Computer Science and Engineering
05-2020
University Overview
Skills
- Windows Server, Linux, Azure, AWS, Visual Studio-ASP, ADO, Tableau,Python
- HTML, CSS, PowerBI,Dashboard Creation,Data Warehousing,AZURE
- C#, Net, Entity Framework, Node, SQL Server, SSIS,SSRS
HeartBeat Detection using facial recognition(Major Project)
HeartBeat Detection using facial recognition(Major Project)
SRM University, 01/2020 - 05/2023,
Detection of pulse rate using human's face and analyzed using python and machine learning. Accuracy of minimum 95%. Getting accurate heartbeat using a wireless camera by using machine learning and python it recognizes from the face by the flow of blood in the face. Provides an output in the form of a graph which in the flow of the beat and after a minute it gives the number of the beat.(Published a Research paper- INDIA'20).
Music Genre Detection using Deep Learning(Minor Project)
Music Genre Detection using Deep Learning(Minor Project)
SRM University, 08/2019 - 12/2019.
Audio files have been classified into 10 different genres. Different models are used to test the data. The CNN model ended up getting the best performance with an accuracy of 77%.
Credit Card Fraud Detection (Minor Project)
Credit Card Fraud Detection (Minor Project)
SRM University, 02/2018 - 03/2018.
By using the ‘Card Transactions’ at least 1000 datasets to classify the credit card transaction as a fraudulent activity or a genuine transaction. Different types of models along with the plot performance curve for all of them and used artificial neural networks and logistic regression and the gradient boosting classifier.
References
References
References available upon request.Timeline
SQL BI Developer
SoftTune Tech
07.2023 - Current
Software Developer
IBM
02.2020 - 08.2021
Software Testing Automation Intern
IDE Technologies
08.2019 - 01.2020
Communications Engineer Intern
Scape Solutions
06.2018 - 05.2019
University of Texas At Arlington
SRM University
Bachelor of Technology in Computer Science and Engineering
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