Anur Shrivastava — Product Manager

Hey, I am Anur Shrivastava, A data analytics engineer and a product analyst. I help businesses turn raw data into smart decisions, design rock-solid ETL/ELT pipelines, and shape scalable products that solve real problems. By day, I’m a Data Engineer and Product Analyst. By night, I’m a YouTuber and lifelong learner, always on the hunt for what’s next in data, business, and product management. Accomplishments; I completed my engineering under 90% M.P. State Goverment Funded Scholarship and During my college days I have a youtube channel named " Gangs of Chacchu " with 2 of my friends which crossed 10K+ views. Launched the #50DaysOfData series, reaching 20,000+ professionals and building a recognized presence in the data community. Co-founded NextGen Panda, driving a 3x increase in client base through creative strategy, content, and client management. Developed DropKart, automating Amazon affiliate marketing with Make.com, cutting manual work by 40% and enabling multi-platform product scaling. Led the integration of data from 7+ hospitality PMS (Agilysys, HTNG, LMS, Opera) at Cendyn, achieving 95% SLA compliance and enabling $2M+ in business revenue targets. Migrated 20+ databases and built 30+ SSIS/ADF pipelines to Azure at GeoPITS, delivering analytics through Power BI dashboards for C-level decision makers. Managed end-to-end project lifecycles, from requirements and process mapping to UAT, Agile delivery, and ongoing support, collaborating with cross-functional teams globally. Strengths ; Proficient in Python, SQL, Power BI, Tableau, Azure Data Factory, SSIS, and cloud data architecture. I excel at bridging business and technology—translating requirements into technical solutions, driving process improvements, and simplifying analytics for non-technical stakeholders. Interests ; I love exploring cultures, travelling, and sharing what I learn as a content creator (YouTube: “Totally Anur”). I’m fascinated by startups disrupting industries from unexpected places and am always keen to understand how data, product, and people intersect to drive business success. What’s Next? I’m now focused on business analysis and product management, ready to create impact by connecting user needs, tech solutions, and strategic growth. If you’re interested in the future of data, business, and product, let’s connect. There’s always more to my story!

Stackforce AI infers this person is a Data Engineering and Product Management professional in the SaaS and Fintech industries.

Location: Hyderabad, Telangana, India

Experience: 4 yrs 1 mo

Skills

Data Analytics
Product Management
Data Engineering
Cloud Data Architecture

Career Highlights

Launched #50DaysOfData series, reaching 20,000+ professionals.
Co-founded NextGen Panda, driving 3x client base increase.
Developed DropKart, automating Amazon affiliate marketing.

Work Experience

NielsenIQ

Product Owner (8 mos)

Cendyn

Product Analyst - Guestrev (1 yr 5 mos)

GeoPITS

Data Engineer (1 yr 1 mo)

Associate Data Engineer (11 mos)

Education

Master of Business Administration - MBA at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology at Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021

Class 12th at Jyoti Senior Secondary School - India

Anur Shrivastava

Product Manager

Hyderabad, Telangana, India4 yrs 1 mo experience

Key Highlights

Launched #50DaysOfData series, reaching 20,000+ professionals.
Co-founded NextGen Panda, driving 3x client base increase.
Developed DropKart, automating Amazon affiliate marketing.

Stackforce AI infers this person is a Data Engineering and Product Management professional in the SaaS and Fintech industries.

Contact

Skills

Core Skills

Data AnalyticsProduct ManagementData EngineeringCloud Data Architecture

Other Skills

ADFActingAdvanced Microsoft ExcelAgile & Waterfall MethodologiesAgile MethodologiesAnalytical SkillsApplication Programming Interfaces (API)AutoCADBusiness AnalysisBusiness AnalyticsBusiness Intelligence (BI)CommunicationConsultingDAXDashboard Building

About

Experience

4 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

8 mos

Current Experience

Nielseniq

Product Owner

Oct 2025 – Present · 8 mos · Chennai, Tamil Nadu, India · Remote

Cendyn

Product Analyst - Guestrev

Nov 2023 – Apr 2025 · 1 yr 5 mos · Hyderabad, Telangana, India · Remote

At Cendyn, I drove the integration, transformation, and consolidation of data from 7+ Property Management Systems—including Agilysys Versa, HTNG, LMS Legacy, and Oracle Opera—into structured formats for the Guestrev platform. By aligning technical solutions with hospitality revenue management requirements, I ensured seamless business-technology fit. I collaborated closely with cross-functional teams, leading process improvements that boosted project success rates by 10% and enhanced workflow efficiency by 25%. I managed end-to-end requirements gathering, created detailed product documentation, and resolved 95% of integration issues within SLA, maintaining system reliability and performance. My efforts enabled timely data integrations, directly supporting quarterly business objectives and contributing to $2M+ in revenue targets.

Data IntegrationData TransformationData ConsolidationRequirements GatheringProduct DocumentationProcess Improvement+2

Geopits

2 roles

Data Engineer

Promoted

Sep 2022 – Oct 2023 · 1 yr 1 mo · On-site

GeoPITS mainly focuses on remote support, on-demand consultancy for the Microsoft Data Platform and On-premises to Cloud migrations. As a Data Engineer, I was responsible for consulting and developing efficient, secure and scalable data solutions for our clients in various domains.
My work consists of -:
> Collaborated with product managers and cross-functional teams to gather migration requirements, draft project roadmaps, and ensure alignment with business goals using Agile methodologies.
> Participated in all phases of the project cycle, from requirement analysis to development, testing, deployment, and ongoing support, maintaining strong stakeholder communication throughout.
> Designed, developed, and optimized 30+ SSIS/ADF pipelines, enabling seamless migration of 20+ databases from on-premises systems to Azure (VM/MI) for major finance clients.
> Automated database health checks with SQL jobs and improved database reliability and security.
> Built and managed Power BI dashboards and created weekly/monthly analytics reports, delivering actionable insights to clients and leadership.
> Developed custom data analysis reports on demand, driving better business decisions.
> Managed daily database administration, troubleshooting, and performance tuning, reducing system bottlenecks by 20% and ensuring high data integrity and uptime.