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Apurva ShrutiAS
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Apurva Shruti

@apurvashruti

Software engineer specializing in data, cloud, and automation for efficiency gains.

India
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What I'm looking for

I seek roles focused on cloud-native data engineering, automation, and analytics where I can optimize processes, reduce costs, and scale data-driven solutions.

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

TS
Current

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%.

TS

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.

Education

Degrees, certifications, and relevant coursework

KIIT Deemed to be University logoKU

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.

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