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Shivangi Khanna

Sr Site Reliability Engr @Granicus || PG Certified in Data Science @IIIT-B || 🇮🇳 ||

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About

Shivangi Khanna is a meticulous and result-oriented Senior Data Science Engineer with over 5 years of experience in data engineering and modelling. Currently working as a Senior Data Engineer at Dataweave, she has a proven track record of delivering excellent competitive and pricing intelligence to clients worldwide. Shivangi possesses diverse experience in planning and executing multiple projects from various domains, and has a constant zeal to learn new skills and be at par with the latest tech stack. Her expertise includes Python, SQL, AWS, and Data Science. At Dataweave, Shivangi has developed a pipeline for a SalesNShare project using Apache Airflow, reducing manual effort by 70%. She has also performed an extensive data analysis across 20 projects and assisted the products team in building the Digital Shelf Analytics (DSA) from ground zero for all, which improved their client base by 60%. Shivangi has also assisted in closing a 10 million deal by collaborating with multi-disciplinary teams to incorporate end-to-end statistics and quantitative analysis for 4 clients - Colgate-Palmolive, Mensa, Diageo, HillsPet and presenting their competitive analysis onto Dashboards. Shivangi has established the Data DAAS division from scratch by onboarding a team of 5 data engineers. She has utilized python and SQL techniques on AWS cloud to implement automatic data quality checks for projects and achieved a cost reduction of 4.2 million. Shivangi is also responsible for the complete status tracking and workflows management of projects through JIRA right from project planning to project delivery. Currently, she owns the technical delivery of 20+ projects. Shivangi has previously worked at Dataweave as a Data Engineer and has delivered data for around 5 top-notch clients like Engage3, Estee Lauder, DoorDash, Diageo, Anheuser-Busch, etc. She has also generated a lead to win a client back with 80% more revenue by ensuring 100% data quality through data exploration (EDA) on structured and unstructured datasets in every delivery. Shivangi has developed reusable components that can be applied to similar problem classes across contexts and achieved an MoM 23% increase in revenue through streamlining the data delivery and QC pipeline. Shivangi holds a Post Graduate Certification (PGC) in Data Science from the International Institute of Information Technology Bangalore and a Bachelor of Technology in Computer Science from Ambala College of Engineering and Applied Research. She is proficient in

Education Overview

iiit bangalore international institute of information technology bangalore

ambala college of engineering applied research

Companies Overview

granicus

fidelity

international institute of information technology bangalore

dataweave

hewlett packard

tcilit chandigarh

infosys

Experience Overview

7.5 Years

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Contact Details

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Mobile Number

+91XXXXXXXX53

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Frequently asked questions

What company does Shivangi Khanna work for?

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Shivangi Khanna works for granicus

What is Shivangi Khanna role in their workplace?

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Shivangi Khanna's role in their workplace is Sr Site Reliability Engr (SRE III)

What is Shivangi Khanna's tenure in their workplace?

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Shivangi Khanna's tenure in their workplace is 0.50 years

What is Shivangi Khanna's total experience?

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Shivangi Khanna's total experience is 7.50 years

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Shivangi Khanna's phone number is +91XXXXXXXX53. Unlock here

What schools did Shivangi Khanna attend?

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Shivangi Khanna has attended iiit bangalore international institute of information technology bangalore, ambala college of engineering applied research

What companies has Shivangi Khanna worked with?

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Shivangi Khanna has worked with granicus, fidelity, international institute of information technology bangalore, dataweave, hewlett packard, tcilit chandigarh, infosys

What are some of Shivangi Khanna's skills?

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Shivangi Khanna has skills in Agile Methodologies, Airflow, Amazon Athena, Amazon Athena, Amazon S3, Amazon S3 and more.

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