Sneha Tiwari

Sneha Tiwari

5 Years 4 Months Overall Experience
Dynamic professional with 5+ years in CRM systems, product management, and cloud services at TCS and LTIMindtree. Proven leader in cross-functional teams, enhancing user adoption and operational efficiency. Expertise in CRM roadmaps, compliance, process automation, and disaster recovery. Recognized for top performance in national case competitions, consistently ranking in the top 1%.

Functional Areas

       

Education

IIM Indore
MBA

2024-2025

Ramrao Adik Institute of Technology (RAIT)
Bachelor of Engineering (Electronics)

2013-2017

Accomplishment

3rd Runner Up (4/700+), ForeTeach Product Case Competition
A product case competition to increase Spotify’s podcast engagement
National Finalist (5/800+), IIMI Prodylitics Case Competition
A product case competition to boost customer experience for a Food Delivery app
National Finalist (5/1100+), XLRI’s Kronos Case Competition
A case competition to boost employee retention for a Energy Company
Rank #1 in Unity Run Marathon
Rank #1 in Unity Run Marathon Oct’2022 in NIT, Surat

2022

Certification

Become a Product Manager
Udemy

2024

Microsoft Dynamics 365 CRM (MB2-716)
Microsoft

2019

Machine Learning: Classification
Coursera

2019

Scaled Agile
SAFe

2018

Experience

TCS

1 Year 7 Months

IT Analyst

Apr'21 - Oct'22

Owned CRM roadmap, prioritizing features for 2000+ users, achieving a 20% reduction in reported issues -Led product enhancements with cross-functional teams, ensuring 0% SLA breaches for key clients

NeoQuant Solutions

6 Months

CRM Analyst

Nov'20 - Apr'21

Enhanced CRM features, improving user interface and adoption by refining SLAs and introducing user-friendly reports -Led disaster recovery planning, ensuring zero downtime through cross-department collaboration and vendor coordination

LTIMindtree

3 Years 6 Months

Engineer- Cloud Services And Software

Jun'17 - Nov'20

Developed CRM modules, ensuring regulatory compliance and improving product stability and adoption -Automated processes, reducing inefficiencies by 30% and enhancing cloud scalability and performance