Shivangi Shroff
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical Program Manager at Google
Leveraging a strong background in data engineering, I have strategically evolved my career to focus on the comprehensive business impact and end-to-end delivery of data and AI projects. In my current capacity as a Technical Program Manager & Solutions Consultant, I am responsible for guiding customers through their cloud migration journeys, ensuring successful workload transitions. My expertise spans diverse sectors, including Public Sector, Retail, Healthcare, Manufacturing, and Finance, where I've led both large-scale and niche initiatives. This delivery leadership role has allowed me to cultivate a versatile skill set encompassing requirements gathering, project scoping, stakeholder management, cost optimization, architectural design, and cross-functional coordination, all of which I am eager to continue applying and developing.
Georgia State University - J. Mack Robinson College of Business
Master’s Degree, Information Systems - Big data management and analytics
N/A – Present
Technical Program Manager
September 1, 2023 – Present
Data Cloud Consultant
April 1, 2021 – August 1, 2023
Cloudreach
Cloud Data Engineer
March 1, 2020 – March 1, 2021
Cloudreach
Associate Cloud Data Engineer
September 1, 2018 – February 1, 2020
Relus Cloud
Associate Cloud Data Engineer
January 1, 2018 – August 1, 2018
Turner (Turner Broadcasting System, Inc)
Cloud Machine Learning Consultant
September 1, 2017 – December 1, 2017
Turner (Turner Broadcasting System, Inc)
Cloud Architecture Intern
January 1, 2017 – August 1, 2017
Georgia State University
Graduate Research Assistant
August 1, 2016 – May 1, 2017
IBM India Private Limited
Application Developer
August 1, 2014 – May 1, 2016
Bengaluru Area, India
Celebrity and Object detection in a video
June 1, 2017 – July 1, 2017
Used AWS, Python and ffmpeg to detect celebrities and objects in a video.
Partitional Clustering for Large Data Set Using Parallel K-means Algorithm
June 1, 2013 – May 1, 2014
Studied, analysed and implemented the traditional K-means algorithm. Developed an approach to parallelize the algorithm thereafter, to obtain speedup in execution time for publicly available large bench-marked data-sets and implemented it using shared memory mechanism. Platform - Linux, Technologies used - C, pthreads
Project Management Professional (PMP)
Project Management Institute
June 24, 2026 – Present
Google Generative AI Leader
June 24, 2026 – Present
Professional Data Engineer
June 24, 2026 – Present
Google Prompting Essentials
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (IBM, Turner, Relus Cloud, Cloudreach, Google) and roles (Application Developer, Cloud Data Engineer, Data Cloud Consultant, Technical Program Manager) demonstrates adaptability and a broad skill set. Their involvement in both technical implementation and program management roles, coupled with personal projects like parallel K-means and celebrity detection, indicates a strong drive for learning and applying new technologies. The target role of 'Data Analyst' aligns well with their extensive data-centric background, although their experience leans more towards data engineering and program management, suggesting they could bring a broader perspective to an analyst role. The certifications in Generative AI also show an interest in cutting-edge technologies.
Soft Skills & Operational Fit
The candidate's experience as a Technical Program Manager and Data Cloud Consultant at Google, along with PMP certification, suggests strong program management, stakeholder management, and analytical skills. Their roles involved client interaction, understanding use cases, and recommending/implementing data solutions, indicating good communication and problem-solving abilities. The project descriptions, while brief, show initiative in parallel computing and object detection, hinting at a proactive and innovative mindset. The experience as a Graduate Research Assistant also points to organizational and collaborative skills.