---
title: "Sanidhya Somani - Consultant in Delhi | Tal"
description: "Meet Sanidhya Somani, EY Parthenon | FMS Delhi’24 (Top 10%) | Ex - Tide (Fintech), Accenture | NIT Surat’21| CFA L1 based in Delhi. AI stack includes antigravity and codex."
image: "https://tal.club/meet/sanidhya-somani/share-image"
---

# Sanidhya Somani on Tal

## Headline

EY Parthenon \| FMS Delhi’24 \(Top 10%\) \| Ex \- Tide \(Fintech\), Accenture \| NIT Surat’21\| CFA L1

## About

"Every move should have a purpose\." Chess taught me that long before business did\. Solving problems \- understanding why something works and how it can work better is what enjoy most\. FMS gave me the tools\. Real\-world roles gave me the arena\. And CFA Level 1 gave me the discipline to evaluate opportunity and risk with rigor\. Over time l've learned that purpose isn't just about efficiency it's also about people\. I care about building solutions that make life easier for the ones who use them and decisions that create value beyond the balance sheet\. Whether I'm improving a product, simplifying a process, or analyzing a market my focus remains constant: think deeper, move smarter, help others win\. thrive where learning never stops, and where the next step isn't obvious only exciting\.

## Location

Delhi

## AI stack

antigravity

codex

## Work experience

Consultant at EY\-Parthenon, Aug 2024 \- Present · 2 yrs 1 mo, Delhi, India, Management Consulting • Led strategic growth and operating model engagements, developing bottom\-up business plans, financial models, and go\-to\-market strategies to drive revenue and profitability improvement • Conducted deep market and micro\-market analysis to identify whitespace opportunities, portfolio gaps, and scalable growth levers across channels and regions • Designed and executed action\-oriented growth initiatives, collaborating closely with senior leadership and sales teams to translate strategy into execution • Built advanced analytics and forecasting models across inventory, sales, and working capital to improve operational efficiency and capital productivity • Supported diversification and expansion initiatives through competitor benchmarking, market entry assessment, and end\-to\-end business case development

Product Management Intern \- Payments at Vodafone Idea Limited, Apr 2023 \- Jun 2023 · 3 mos, Mumbai, Maharashtra, India, • Researched 20\+ apps, NPCI &amp; PG's offerings, identified new age payment features for Vi app to drive txn success rate • Executed market surveys \(200\+ responses\) &amp; in\-depth interviews \(13\+ individuals\) to gauge user feedback on features • Benchmarked 12\+ payment features across categories, recommended UPI Mapper &amp; One\-Click Pay for implementation • Developed GTM strategy, proposed user journey, implementation plan, &amp; performed impact effort analysis for prioritization • Projected 2x UPI\-Collect speed, 3x speed &amp; eliminate 2\-steps in saved card payments with \~3\.5% success rate increase

Data Analyst 2 at Tide, Apr 2022 \- Jul 2022 · 4 mos, • Assisted Operational Analytics and Insights team in the ad\-hoc projects related to the Payment, Risk &amp; KYC domain\. • Created and maintained 7\+ dashboards to analyse the data in Payments, KYC and Customer engagement domains • Forecasted the cost of reissuing cards by analysing customers data led by the finance team &amp; reduced cost by 35%\. • Identified £3\.2m annual revenue potential through spend &amp; activity rate analysis of the key transactional product\.

Data Engineering Analyst at Accenture AI, Jun 2021 \- Mar 2022 · 10 mos, Bengaluru, Karnataka, India, • Worked with the Asia's biggest Pharma client to digitalize the sales channel and developed a strategy for enhancing the sales and customer experience\. • Developed a Decision Engine uses data to suggest next best message to sales representative to communicate with doctors • Formulated a HIPAA compliant Omnichannel System with 5 channels to facilitate the communication with doctors\.

Research Intern at Indian Institute of Management Ahmedabad, Apr 2020 \- Jul 2020 · 4 mos, Ahmedabad, Gujarat, India, \- Worked on a Marketing Project: "Idiosyncratic characteristics of YouTube influencers and their impact on online engagement as well as purchase influence for viewers: The Interplay Between Humour and Credibility of Online Influencers" • Analyzed the impact of YouTube influencer on online engagement and purchase influence on viewers\. • Developed a Data Scraping tool to extract 5 million comments of YouTube videos with API in Python\. • Developed a Sentiment and Emotion Analysis model to extract emotions \(anger, anticipation, disgust, fear, joy, sadness, surprise, trust\) analysis\.

## Education

Master of Business Administration \- MBA, Faculty of Management Studies \- University of Delhi

Bachelor of Technology \- BTech, Electronics and Communications Engineering, National Institute of Technology Surat

[View the original profile](https://tal.club/meet/sanidhya-somani)

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