Ashalatha B.
About Ashalatha B.
Ashalatha B. is a Data Engineer with extensive experience in machine learning and data analytics. She holds a Bachelor of Engineering from Visvesvaraya Technological University and a Master of Management Analytics from Smith School of Business at Queen's University.
Work at Properly
Currently, Ashalatha B. serves as a Data Engineer at Properly, a role she has held since 2021. In this position, she applies her expertise in data engineering to support various data-driven initiatives. Her responsibilities include utilizing ETL processes and business intelligence tools to enhance data management and reporting capabilities.
Education and Expertise
Ashalatha B. holds a Bachelor of Engineering degree from Visvesvaraya Technological University. She further advanced her education by completing a Master of Management Analytics at Smith School of Business at Queen's University in May 2019. Her proficiency encompasses machine learning algorithms, deep learning, and natural language processing techniques, alongside a strong foundation in ETL and BI tools.
Professional Background
Ashalatha B. has a diverse professional background in data engineering and software development. She has worked at several notable organizations, including CIBC, where she served as a Manager from 2019 to 2021, and Fidelity Investments as a Senior Software Engineer from 2015 to 2018. Her experience spans various roles, including Data Developer at TripElephant Inc. and System Engineer at Tata Consultancy Services.
Certifications and Technical Skills
Ashalatha B. is certified as an Analyst in Tableau and holds an Oracle certification in SQL. She is AWS associate certified and has familiarity with AWS products such as S3, EC2, and Lambda. Her technical skills include proficiency in batch processing, CI/CD tools like GitHub and Jenkins, and Agile methodologies, with experience in using JIRA for project management.
Experience with Data Tools and Technologies
Ashalatha B. has extensive experience with various data tools and technologies. She is proficient in using Informatica, Tableau, and Power BI for data visualization and analysis. Additionally, she has exposure to Apache Spark and HDFS, as well as relational querying using Hive, which enhances her capabilities in handling large datasets and complex data environments.