Greeshma Reddy
Data Engineer | Data Scientist | Adaptable | Adventurer |
Based in USA
About
I'm a data scientist with over 3+ years of experience in the field, specializing in machine learning, big data, cloud computing, data mining, data engineering, and implementing cloud-native solutions, I excel in transforming raw data into actionable insights. I hold a Master’s degree in Big Data and Information Technology and a Bachelor's degree in Computer Science, and I have consistently demonstrated my ability to solve complex data challenges in fast-paced, Agile environments.
Skills
Projects
Experience
08/2023 to Present
Data Engineer at Ace Hardware
At Ace Hardware, I develop and manage data systems to handle large volumes of data. I create efficient data pipelines using Python and SQL, manage big data tools like Hadoop and Spark on Azure, and design workflows to integrate various data sources. I optimize SQL queries for faster data retrieval, create visual reports for stakeholders, and use advanced analytics to derive actionable insights from data------Developed ETL pipelines with Python, SQL, and Azure Data Factory. -Managed and optimized Hadoop and Spark clusters on Azure HDInsight. -Implemented real-time data processing using Azure Databricks and Spark Streaming. -Optimized SQL queries, reducing response time by 15%. -Created interactive dashboards with Power BI. -Integrated machine learning models for predictive analytics.
04/2020 to 06/2022
Data Engineer/Data Scientist at MAQ Software
At MAQ Software, I designed and implemented machine learning models and data pipelines to enhance business intelligence. I automated deployment workflows, utilized big data tools to handle large datasets, and conducted detailed data analysis. My role involved deploying NLP models, documenting processes for knowledge transfer, and creating visual reports to identify data trends.----Designed and implemented machine learning models to derive actionable insights from large datasets.-Automated CI/CD workflows using Jenkins for consistent model deployment.-Deployed NLP models for tasks like sentiment analysis and text classification.-Utilized Hadoop and AWS services (EMR, S3) for managing large datasets.-Conducted data analysis and exploration using Power BI to identify trends and patterns.
01/2020 – 03/2020
Data Engineer-Trainee at MAQ Software
Transformed the relational database, orchestrating the migration from MySQL to DynamoDB for a sensitive application, managing diverse API calls to ensure seamless data transition. • Collaborated with cross-functional teams actively contributing to the development of backend services using Python, Java, and RESTful web services, fortifying application infrastructures. • Crafted SQL queries encompassing table creation, updates, join, aggregate functions, and subqueries, playing a role in data management and manipulation for enhanced system functionality. • Designed data models and contributed to software architecture for improved data consistency and scalability using UML and design patterns. • Worked in Agile development teams, participating in sprint planning, daily stand-ups, and retrospe
Education
08/2022-12/2023
Big Data Analytics and Information Technology at University Of Central Missouri
My Master's degree in Big Data Analytics and Information Technology focused on advanced concepts in data management, analytics, and information systems. The program provided in-depth knowledge and practical skills required to handle large datasets and extract valuable insights. Key highlights of my coursework and experience include: Big Data Technologies, Data Engineering and ETL Processes, Machine Learning and Analytics, Data Visualization, Database Management, Project Work and Research.
08/2017-07/2021
Computer Science at TKR College of Engineering and Technology
My Bachelor’s degree in Computer Science and Engineering provided a foundation in computer science principles, software development, and engineering practices. The program covered a wide range of topics including algorithms, data structures, programming languages, Web development, database management, Software Engineering, Project Management, Elective Courses and Projects.