Abhijna Shivapuram

About Abhijna Shivapuram

I’m passionate about simplifying complexity — turning emerging technologies into stories, strategies, and systems that make sense.At Quantiphi, I work in GTM strategy for our AI-led intelligence solutions, helping enterprises reimagine how they handle data, decisions, and customer experiences. My current explorations span platforms like Snowflake, Dociphi, baioniq, and no-code ecosystems — learning how they can make enterprise data not just accessible, but meaningful.My work sits at the intersection of technology and humanity — where data informs, design guides, and meaning grounds the outcome. I’m drawn to questions of how we build, but also who we become in the process. I write sometimes, at the crossroads of data + design + meaning, exploring how the future of AI isn’t just about faster machines — but about helping us become more capable, grounded, balanced, and deeply human.

Experience

1. Associate Client Solution Partner

   Quantiphi

   Mar 2022 — Present · Bangalore Urban, IN

   Serve as the GTM lead for a major Canadian insurance client, spearheading pre-sales activities and ensuring timely, high-quality RFP submissions aligned with client priorities.Own and maintain accurate business reporting and forecasting through Pipedrive, enabling leadership visibility and proactive decision-making.Successfully converted 3+ large deals into wins, while continuously nurturing senior stakeholder relationships to drive long-term value and account growth.Supported discovery sessions, solutioning workshops, and strategic pitches across multiple Financial Services (FSI) clients, contributing to account planning, GTM strategy, and ABM initiatives.Act as a trusted advisor bridging business needs with Quantiphi\'s GenAI and data solutions portfolio, contributing to repeat business and new opportunity creation.

Education

• National Institute of Technology Warangal

  Bachelor of Technology (BTech)

  2012 — 2016

• Quantic School of Business and Technology

  Master of Business Administration - MBA

  2020 — 2021

Skills

• Chemical Engineering
• Aspen Plus
• Ansys Fluent
• Matlab
• Event Planning
• Autocad
• C++
• Microsoft Excel
• Microsoft Word
• Public Speaking
• Microsoft Office
• Windows
• English
• Powerpoint
• Social Media
• Teamwork
• Sql
• R
• Data Analysis
• Statistics
• Sql Server Integration Services (Ssis)
• Big Data
• Business Analysis
• Business Intelligence
• Cloud Computing
• Data Management
• Data Modeling
• Data Visualization
• Database Development
• Databases
• Machine Learning
• Web Analytics