Sai Deekshith Mulakala
Denton,TX
Summary
Data Engineer with 3 years of experience in Unix/Linux environments, software engineering, and Azure Cloud Services. Proven track record in NLP analysis, machine learning, and big data technologies. Skilled in Python, R, and various programming languages. Demonstrated ability to develop and deploy machine learning-based products and chatbots using cutting-edge tools and methodologies. Adept at working in global delivery environments and collaborating with cross-functional teams.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer
UBS Financial Services
08.2023 - Current
- Conducted NLP analysis and developed machine-learning models using Python and R.
- Implemented deep learning algorithms, including CNNs, RNNs, and LSTMs, to enhance product capabilities.
- Designed and developed chatbots using Azure Chatbots, DialogFlow, Alexa, RASA, and Amazon Lex.
- Utilized big data technologies such as HDFS, Hive, Spark, and Scala for efficient data processing and analysis.
- Developed and maintained interactive data visualization dashboards using Tableau.
- Applied statistical techniques for data analysis, including distributions, statistical testing, and regression.
- Participated in Lean and Agile development methodologies to deliver high-quality software products on time.
- Collaborated with cross-functional teams in a global delivery environment to ensure seamless project execution.
Data Analyst Intern
New York Life Insurance Co
01.2023 - 05.2023
- Performed data analysis using Python, R, and SQL to generate actionable insights.
- Assisted in developing and maintaining interactive data visualization dashboards using Tableau, enhancing data-driven decision-making.
- Conducted applied statistical analyses, including distributions, statistical testing, and regression, to support business strategies.
- Implemented automation scripts using PowerShell to improve system efficiency and reduce manual tasks.
- Ensured data integrity and quality by performing thorough data cleansing and validation processes.
- Collaborated with international teams to design and implement scalable system architectures.
- Participated in Agile development cycles, contributing to sprint planning and retrospectives.
- Provided detailed reports and presentations to stakeholders, translating complex data findings into understandable insights.
- Tools used: Python, R, SQL, Tableau, PowerShell, Jira, GitHub.
Data Analyst
TCS Siruseri
05.2021 - 11.2021
- Assisted in the development and deployment of cloud-native applications on Azure, utilizing Azure SQL, Azure Storage, Azure Cosmos DB, Azure Redis, and Azure Event Hub.
- Supported automated application deployment and management using Unix/Linux environments and CI/CD pipelines.
- Contributed to the support of distributed storage systems, including DB2, Oracle, Cassandra, and MongoDB, ensuring high availability and performance.
- Assisted in shipping machine learning-based products, adhering to coding best practices and ensuring high standards of data quality and system architecture.
- Supported CI/CD pipelines using Azure DevOps, Docker containers, and Kubernetes clusters, streamlining the development process.
- Conducted data quality assessments and implemented best practices for data governance.
- Participated in designing and optimizing system architectures for scalable data solutions.
- Worked closely with stakeholders to understand business requirements and translate them into technical specifications.
- Tools used: Azure SQL, Azure Storage, Azure Cosmos DB, Azure Redis, Azure Event Hub, Unix/Linux, DB2, Oracle, Cassandra, MongoDB, Azure DevOps, Docker, Kubernetes, PowerShell, GitHub, Jenkins.
Python Developer Intern
Winsoft Info Solutions
12.2020 - 04.2021
- Implemented custom Python libraries to simplify complex workflows and improve maintainability.
- Maintained comprehensive documentation of code changes, bug fixes, feature additions, making it easier for future developers to understand the system''s architecture efficiently.
- Optimized application performance with efficient algorithms and data structures.
- Improved code quality by implementing rigorous testing and debugging processes.
- Increased project efficiency by consistently meeting deadlines and prioritizing tasks effectively.
- Streamlined development processes through effective use of version control tools such as Git.
- Worked with developers to identify and remove software bugs.
- Developed reports using SQL server reporting services.
- Handled scripting tasks for debugging and automation.
Education
Master of Science - Cybersecurity
University of North Texas
Denton, TX05.2023
Bachelor of Science - Cybersecurity
Vel Tech University
Chennai06.2021
Skills
- Programming Languages: Python, R, Scala, Java, SQL
- Machine Learning: CNNs, RNNs, LSTMs, applied statistics, distributions, statistical testing, regression
- Deep Learning: Experience with the latest research trends
- Big Data Technologies: HDFS, Hive, Spark, Scala
- Cloud Platforms: Azure (Azure SQL, Azure Storage, Azure Cosmos DB, Azure Redis, Azure Event Hub)
- Chatbot Development: Azure Chatbot, DialogFlow, Alexa, RASA, Amazon Lex
- Data Visualization: Tableau
- Query Languages: SQL, Hive
- Development Methodologies: Lean, Agile
- Tools: SSMS, GitHub, Jenkins, Jira, Postman, Beyond Compare, Ultra Edit, Ultra Compare, Notepad, SAM2AWS, FACETS (UI, Backend), Elements (EAM, Workflow, FRM), FET, MEET, CI/CD pipelines (Azure DevOps), Docker containers, Kubernetes clusters, PowerShell scripting
Certification
Certified in Data Science Ethics by Coursera in May 2020
Timeline
Data Engineer
UBS Financial Services
08.2023 - Current
Data Analyst Intern
New York Life Insurance Co
01.2023 - 05.2023
Data Analyst
TCS Siruseri
05.2021 - 11.2021
Python Developer Intern
Winsoft Info Solutions
12.2020 - 04.2021
Master of Science - Cybersecurity
University of North Texas
Bachelor of Science - Cybersecurity
Vel Tech University