Apurva Shruti
@apurvashruti
Software engineer specializing in data, cloud, and automation for efficiency gains.
What I'm looking for
I am a software engineer with 3+ years of experience applying Python, SQL, cloud platforms, and data visualization to drive process improvements and reduce costs. I build cloud-native integrations, automate workflows, and create data products that improve efficiency and user experience.
My projects include designing an automated tax-support bot, integrating Dialogflow CX with ServiceNow to cut manual ticketing by ~40–50%, automating analytics processes to reduce analysis time by 90%, and achieving a 26% reduction in AWS costs through optimized ETL and dashboarding. I hold multiple cloud and ML certifications and a BTech in Computer Science.
Experience
Work history, roles, and key accomplishments
Software Engineer
TEKsystems Global Services
Sep 2022 - Present (3 years 6 months)
Designed and deployed a Dialogflow CX tax-support bot and built a cloud-native Dialogflow–ServiceNow integration that reduced manual ticket creation by ~40–50% and improved call-handling efficiency; implemented ETL and warehousing solutions that automated analysis workflows, cutting analysis time by 90% and reducing AWS costs by 26%.
Technical Trainee
TEKsystems Global Services
Feb 2022 - Jul 2022 (5 months)
Completed hands-on training in SQL, PySpark, Airflow and AWS and contributed to internal projects by developing beginner-level ETL and data processing pipelines.
Consulting Intern
HighRadius Corporation
Jun 2021 - Jan 2022 (7 months)
Developed and optimized SQL queries and trained data models to detect billing information from invoices, improving data-extraction accuracy to 90%.
Education
Degrees, certifications, and relevant coursework
KIIT Deemed to be University
Bachelor of Technology, Computer Science and Communication Engineering
2018 - 2022
Grade: CGPA 9.39
Completed a Bachelor of Technology in Computer Science and Communication Engineering with a strong academic record (CGPA 9.39) focused on software engineering, data analysis, and cloud technologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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