---
title: "Siddharth Singh - Product Marketing Intern in Bengaluru | Tal"
description: "Meet Siddharth Singh, Demand Strategy @ IBM | Product | Marketing | Engineer based in Bengaluru. AI stack includes replit."
image: "https://tal.club/meet/siddharth-singh-9/share-image"
---

# Siddharth Singh on Tal

## Headline

Demand Strategy @ IBM \| Product \| Marketing \| Engineer

## Location

Bengaluru

## AI stack

replit

## Work experience

Product Marketing Intern at IBM, Apr 2025 \- Jun 2025 · 2 mo, Bengaluru, Karnataka, India, 1\. Compared IBM’s Product Design &amp; Engineering Services\(PDES\) messaging against global competitors to study messaging differentiation 2\. Identified whitespace and narrative inconsistencies by analyzing competitor value propositions and brand storytelling frameworks 3\. Designed and executed a Perception Survey with 55 B2B professionals in the IT sector 4\. Leveraged Exploratory Factor Analysis \(EFA\) and Text Analytics \(word cloud frequency mapping\) to distill four core brand perception drivers 5\. Mapped perceptual gaps between IBM’s strategic messaging and stakeholder sentiment to inform communication realignment 6\. Suggested 3 storytelling interventions to reinforce IBM Consulting’s AI\-powered delivery strength, build emotional resonance, and integrate proof\-based value delivery into PDES messaging,aligning with IBM’s broader transformation narrative

Live Project Trainee – Anand Municipality Jan Seva Kendra, Anand at Anand Jan Seva Kendra, Jul 2024 \- Dec 2024 · 6 mos, Anand, Gujarat, India, 1\. Consulted with Anand Municipality to revamp a Jan Seva Kendra by analyzing service turnaround times and conducting primary research on citizen and employee pain points, leading to process redesigns that improved overall service delivery 2\. Mapped the complete citizen journey and identified key inefficiencies contributing to overall delay in average service turnaround time 3\. Designed and implemented a dedicated help desk and token\-based queue system, leading to a 41\.5% reduction in Aadhar processing time and 60% reduction in assistance queries 4\. Created an optimized “To\-Be” service model with entry\-point triage, defined seating, and sequential counters, resulting in 31% average turnaround reduction across services 5\. Streamlined citizen flow by redesigning layout and introducing service desk at entry\-point; boosted customer satisfaction rating by 1 point on a 5\-point scale 6\. Collaborated with municipal staff and operators to recommend SOP changes and upskilling strategies to reduce rework and role ambiguity

## Education

PGDM, MICA \| The School of Ideas

Bachelor of Technology, Computer Science, AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD

[View the original profile](https://tal.club/meet/siddharth-singh-9)

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