Sonal Somani

My current interest sits at the intersection of Analytics (Product/Consumer/Business) and Psychology.
In 5.5 years of my professional career, I gained hands-on experience in data analytics and engineering across Retail and FMCG sectors. At the core of this work was uncovering and translating brand insights into decisions, and communicating them to stakeholders at every level.

I’ve worked day to day with colleagues from over 12 nationalities, building solid intercultural competence. People I’ve worked with describe me as curious, collaborative, and biased towards action.

I’m skilled in SQL, Python, R, Excel, Power BI, and I’m familiar with Amplitude and A/B testing.

In my next role, I aim to bring a perspective that blends psychological insight with data-driven problem-solving, leveraging my psychology master’s and prior technical experience.

In terms of languages, I speak English and Hindi with bilingual fluency and Dutch at basic level (certified by CLT Language Institute, Belgium) with plans to learn further.

Skills

• Languages: SQL, Python, R
• Data Visualization Tools: Power BI
• Product Analytics Tools: Amplitude
• Research Tools: SPSS, Qualtrics, Prolific, NVivo, Dovetail
• Other Tools: Jira, Git, Azure Databricks, VS Code, Notion, Excel, PowerPoint

• Consumer Behaviour Analysis
• Product Psychology
• Stakeholder Management
• Data-based Storytelling

Education

KU Leuven ranks 17th in world subject rankings: QS Rankings 2025

Work Experience

Awards

• Golden Hoegaarden Knight, Annual Awards, AB InBev in September, 2020

  Top Performer of the Year (‘Results’). Five winners were selected from 65 nominations across ~400 employees in the Analytics COE, India

• Cicerone Team Award, AB InBev in December, 2020
• Cicerone Team Award, AB InBev in April, 2020
• Pint Team Award, AB InBev in September, 2019
• Team Performer Award, Antuit.ai in 2018
• Individual Performer Award, Antuit.ai in 2017

Data Science and Analytics

• Completed Product Analytics for Product Managers course by Asaf Lev Ari from Udemy in 2025
• Attended Winter School on Deep Learning for Visual Computing under Dr. Debdoot Sheet (Assistant Professor, Electrical Engineering, IIT Kharagpur) in 2017
• Completed a 3 credit Data Mining course from IISC, Bangalore, Grade: A in 2017
• Completed a four-week remote internship with a capstone project in Data Science and Analytics under Dr. Sameer Mathur (Associate Professor, Marketing, IIM Lucknow) in 2017
• Completed Inferential Statistics course (35 hours) from Duke University (Coursera), Grade: 95% in 2017

Psychology

• Consumer Behaviour
• Psychology, Culture, and Society
• Behavioural Neuroscience
• Creating Motivational Work
• Research Methods: Qualitative, Quantitative, Advanced
• Five courses in Statistics (Levels I, II, IV, V, VI)
   

• Finished a 9-month Marketing Psychology Internship as part of Master's degree in 2024. Find more details under the Research section.
• Successfully completed an in-person Clinical Psychology Internship (50 hours) conducted by AWC, Dubai in 2025. Learnt from trained clinical psychologists about best practices in therapy and techniques such as EMDR and schema therapy, using role-play and scenario discussions.
• Completed an online Counselling Psychology Internship (240 hours) by Cognizavest in 2025. Learnt counselling skills development in an Indian context.
• Finished an online Organizational Psychology Internship (60 hours) by Cognizavest in 2020. Learnt how to apply organizational psychology concepts in real-life corporate environments.
• Completed an online Research Internship (60 hours) conducted by Mindlogs Psychological Services in 2020. Also, completed an end-to-end research project investigating the relationship between gender essentialism and work-family conflicts among Indian Couples.
   

Research Experience

Publications