Aryan C.

Product Manager

Mumbai, Maharashtra, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about product management and rapid execution.
Experience in designing user-centric features and tools.
Strong background in AI and data-driven decision making.

Stackforce AI infers this person is a Product Manager with a focus on EdTech and HealthTech, leveraging AI for user engagement.

Contact

aaryanchandraa79@gmail.com LinkedIn

Skills

Core Skills

Product ManagementUser ResearchAi

Other Skills

Analytical SkillsArtificial Intelligence (AI)B2B Marketing StrategyBusiness RequirementsCohort AnalysisConsumer BehaviorData AnalysisData ScienceDesign ResearchFunnel OptimizationMachine LearningMarket ResearchMarketing StrategyMicrosoft OfficeProduct Analysis

About

Hey! I’m Aryan — a 2023 B.Tech grad from IIIT Bhubaneswar who accidentally fell in love with product after shipping a few messy MVPs and realizing building > overthinking. I’m currently exploring the world of product management — learning by doing, failing fast, and vibing with anyone who believes in scrappy execution over long-winded docs. I love jamming on half-baked ideas, turning notes into wireframes, wireframes into prototypes, and prototypes into “okay wow this is actually live” moments. Not from a fancy product background (yet), but I’ve got enough curiosity, execution energy, and late-night Notion dumps to keep up. Been teaching myself how to think in terms of users, outcomes, and momentum — and not just features or roadmaps. I’m here to learn from people who’ve been building for real. PMs who’ve shipped stuff that didn’t work, and then came back stronger. If that sounds like you, I’d genuinely love to hear your story. Let’s talk product, shipping fast, weird side projects, or just the messiness of figuring it all out. Always down to connect with builders, tinkerers, and folks who don’t wait for perfect. If you’ve made it this far — hi. Let’s connect :)

Experience

2 yrs

Total Experience

1 yr 3 mos

Average Tenure

8 mos

Current Experience

Retail scan management services pvt. ltd.

Product Manager

Sep 2025 – Present · 8 mos · On-site

Human potential development science infotech pvt ltd

Product Analyst

Nov 2023 – Mar 2025 · 1 yr 4 mos · Hybrid

Designed student journey features like success profilers and walkthroughs, improving personalized onboarding and increasing engagement by 2.6x..
Created student assessment models for organizations, enabling data-driven talent tracking and performance diagnostics across 1,200+ learners.
Built tools for SMEs to identify learning gaps and optimize their teaching strategies, raising learner satisfaction metrics by 46%.
Supported SME-driven transformation modules, enhancing innovation-focused learning content creation by 64% in the last release cycle.

Product ManagementUser Research

Upmymind

Product Analyst

Nov 2023 – Mar 2025 · 1 yr 4 mos · Hyderabad, Telangana, India · Hybrid

Spearheaded end-to-end development of UPMYMIND, empowering 1000+ users to track mental wellness via AI-based fitness tools..
Created AI-backed diagnostic tools for emotion, wellness, and intelligence tracking, cutting manual assessment time by 60%.
Mapped and digitized mental fitness journeys using 12 cognitive development dimensions, enhancing program completion by 2.5x.
Collaborated with SMEs to co-create 100+ knowledge modules; improved content relevance score by 33% in A/B tests

Product ManagementAI

Managemystartup

Product Analyst

Nov 2023 – Mar 2025 · 1 yr 4 mos · Hyderabad, Telangana, India · Hybrid

Designed and implemented comprehensive onboarding workflows for 6 diverse community types (entrepreneurs, investors, mentors) by conducting 50+ user interviews.
Built intelligent startup-investor matching engine that analyzed 500+ startup profiles and investor preferences, improving matching accuracy from 15% to 65%.
Proposed and Co-developed AI-powered centralized knowledge hub
with advanced search capabilities and expert advisory matching system, leading to 80% increase in knowledge engagement and 50% reduction in expert consultation time.

Product ManagementUser Research