Arun Varghese — Product Manager

Product Manager | Data‑Driven Strategy • Agile • Predictive Analytics • Cross‑Functional Leadership As a Product Manager with a background in Business Analysis and Data Science, I sit at the strategic cross-section of technology, insight, and user-centric execution. My journey from Data Scientist to Product Manager gives me a unique lens: I blend analytical rigor, customer empathy, and delivery excellence. In my current role, I leverage predictive analytics, A/B experimentation, and agile product development to turn complex data into clear strategies. I thrive in cross-functional teams, bridging engineers and stakeholders to deliver user-centered digital products that generate measurable outcomes. Highlights: Founded product roadmaps and strategy based on market & user research. Spearheaded predictive modeling initiatives and statistical experimentation. Drove product adoption by translating analytics into stakeholder-ready insights. Core Skills & Tools: Product Management • Business Analysis • Agile Scrum • Road mapping • Market & UX Research • Data Science • Predictive Modeling • Feature Engineering • SQL • Python • Scikit‑learn • Pandas • Tableau • Figma Professional Identity: I’m a problem-solving product leader who turns data into purpose-driven strategy. Having traversed roles from Data Science through Analysis to Product, I bring a 360° perspective—from ideation through execution—with a sharp focus on customer and business impact. What Solidifies My Edge: Analytical acumen plus strategic foresight Strong cross-team communication and stakeholder alignment Proven ability to deploy data-informed solutions that scale Next Steps: I’m eager to lead product teams building intelligent SaaS and digital products—especially via machine learning and AI-driven features. I’m on a continuous learning path: honing product discovery, UX/customer validation, emerging ML use cases, and leadership in agile environments. Let’s connect if you’re building or scaling user-first technology, want to leverage data‑informed roadmaps, or are exploring AI-enabled innovation.

Stackforce AI infers this person is a Product Manager with expertise in SaaS and Data Science.

Location: Ahmedabad, Gujarat, India

Experience: 4 yrs 6 mos

Skills

Product Management
Agile
Business Analysis
Data Science
Predictive Modeling
Technical Support

Career Highlights

Led product strategy and execution across cross-functional teams.
Expert in leveraging predictive analytics for user-centered solutions.
Proven track record in driving product adoption and performance.

Work Experience

KAI Nest

Product Manager (1 yr 1 mo)

Business Analyst (7 mos)

Virtual Dot

Data Scientist (1 yr 7 mos)

Teleperformance

Technical Support Executive (1 yr 3 mos)

Education

Postgraduate Programme in Data Science and Engineering at Great Lakes Institute of Management Gurgaon

B.tech at Annamalai University

School at St. Xavier's School, Jaipur

Arun Varghese

Product Manager

Ahmedabad, Gujarat, India4 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led product strategy and execution across cross-functional teams.
Expert in leveraging predictive analytics for user-centered solutions.
Proven track record in driving product adoption and performance.

Stackforce AI infers this person is a Product Manager with expertise in SaaS and Data Science.

Contact

Skills

Core Skills

Product ManagementAgileBusiness AnalysisData SciencePredictive ModelingTechnical Support

Other Skills

Product Road MappingMarket ResearchAgile MethodologiesData-informed SolutionsAnalyticsProduct DevelopmentNetworkingArtificial IntelligenceDefining RequirementsForecastingMachine LearningProblem SolvingAdobe IllustratorGo-to-Market StrategyMarketing Strategy

About

Experience

4 yrs 6 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 8 mos

Current Experience

Kai nest

2 roles

Product Manager

Promoted

Apr 2025 – Present · 1 yr 1 mo · Ahmedabad, Gujarat, India · On-site

Led multiple projects simultaneously, managing priorities and resources to deliver high-quality features on time.
Drove product strategy and execution across engineering, design, marketing, and sales teams to deliver user-centered, data-informed solutions.
Defined and prioritized product roadmaps aligned with business objectives and user needs, incorporating competitive analysis and customer insights.
Collaborated closely with stakeholders to ship impactful features, working end-to-end through discovery, MVP, launch, and iteration phases.
Leveraged analytics and direct user feedback to inform decisions, measure success, and identify areas for improvement.
Managed the entire product lifecycle—ensuring clear communication, documentation, and alignment across cross-functional teams.
Partnered with marketing and sales to build go-to-market strategies, drive adoption, and support revenue goals.
Continuously evaluated product performance using KPIs, pinpointed optimizations, and led feature enhancements.

Product Road MappingMarket ResearchAgile MethodologiesData-informed SolutionsProduct ManagementAgile

Business Analyst

Sep 2024 – Apr 2025 · 7 mos · Ahmedabad, Gujarat, India · On-site

As a founding member of KAI Nest, I’ve been deeply involved in shaping our product from the ground up—turning an initial concept into a solution poised for global success. With a relentless focus on innovation and collaboration, I’ve worked through multiple iterations, constantly refining the product in close alignment with stakeholders.
In a highly competitive environment, I’ve embraced Agile methodology, created business requirement documents for multiple projects also contributed as a Product Owner, Product Manager, and Project Manager to ensure that we stay agile, efficient, and focused on delivering exceptional value.

Product DevelopmentNetworkingAgile MethodologiesBusiness AnalysisAgile

Virtual dot

Data Scientist

Feb 2023 – Sep 2024 · 1 yr 7 mos · Ahmedabad, Gujarat, India · On-site

Experienced Data Scientist skilled in leading forecasting projects for a prominent supply chain company. Proficient in diverse forecasting methods including traditional statistical models like ARIMA and Exponential Smoothing, as well as modern machine learning approaches such as Random Forests and LSTM networks. Collaborated closely with software developers to design and implement a bespoke UI dashboard, enabling stakeholders to make real-time decisions with ease.
Adept in navigating small team dynamics, thriving in high-pressure environments with heavy workloads and tight schedules. Committed to continuous learning and staying abreast of industry trends. With a Master's degree in Data Science, excels in both individual contributions and collaborative teamwork, consistently delivering impactful results to drive business success.

Artificial IntelligenceDefining RequirementsForecastingMachine LearningData SciencePredictive Modeling