ANJALI HASSANI

Critic
DISC Type : C

BA4 at Barclays

Pune, Maharashtra, India

Overview

Anjali Hassani is a Senior Data Quality and Governance Analyst with 3+ years of experience in the banking sector, specializing in risk and regulatory data. A Bachelor of Engineering graduate, she excels in SQL, ETL, and Big Data platforms. Colleagues describe her as a fast learner with a strong analytical mindset.

Outside of her core role, Anjali is passionate about continuous learning in advanced technology. She recently completed a GenAI course and was an active participant in the "Women in Machine Learning Cohort 8, " demonstrating a strong commitment to expanding her skills and knowledge in AI.

Unique fact: Anjali is an immediate joiner for new opportunities, as she is currently serving her notice period.

Personality Overview

Information Seeker

Precise

Critic

They enjoy working alone and do not rely on others very often.  They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms.

Topics They Care About

Machine Learning
Actively pursuing this interest through multiple recent courses and certifications, including the "Women in Machine Learning Cohort 8" and a GenAI course at Barclays.
Data Governance
Her core professional expertise is ensuring enterprise data is accurate, complete, and compliant, particularly for risk and regulatory reporting within the banking industry.
Women in AI
Her participation in the "Women in Machine Learning Cohort 8" suggests a strong interest in supporting and collaborating with other women in the field of AI.

Media Appearances

ANJALI has no verified media appearances

Work History

2-2025
BA4 at Barclays
8-2022 - 1-2025
BA3 at Barclays
4-2021 - 5-2021
Web Development intern at The Sparks Foundation
5-2020 - 6-2020
Web Development Intern at VESIT Renaissance Cell

Education

2018 - 2022
Bachelor of Engineering - BE from Vivekanand Education Society's Institute Of Technology
5-2017 - 5-2018
12th from Saket Junior College of Science

More Information

Social Presence :

Prographics :

Exp : 3 Location : Pune, Maharashtra, India Job Level : N/A Designation : BA4 at Barclays
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Insights For Selling To ANJALI

During A Call Or A Meeting

DO's

  • Tell them what ROI they can expect
  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Don’t forget to mention how you compare to competition on both features and pricing

DONT's

  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try too hard to build a relationship with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with ANJALI is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from ANJALI

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will ANJALI move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can ANJALI take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And ANJALI

Personality Compatibility


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