---
title: "Hands-On Mentorship: Beyond Digital Engagement Tools"
description: Discover how MyRealProduct’s intensive mentor-led programme readies data professionals with practical AI skills for today’s fast-evolving industries
author: Darie Nani (Editor-in-Chief)
date: 2025-09-11T14:14:04.000Z
updated: 2026-02-26T17:55:12.387Z
canonical: https://www.sovereignmagazine.com/article/hands-on-mentorship-beyond-digital-engagement-tools
image: https://cdn.nanimediahouse.com/15ijv-apjse.jpg
categories: Education
content_type: Guide
region: United States
publication: Sovereign Magazine
---

Four weeks. That’s how long it took for participants in MyRealProduct’s summer cohort to go from aspiring data professionals to shipping working AI products. While traditional computer science programs spend years on theoretical foundations, this intensive programme paired 35 participants with six industry practitioners who had one mandate: build something people can actually use.

The results challenge the conventional wisdom about data science education. In a single month, the cohort launched eight AI-powered solutions across healthcare, food, therapy and groceries – tangible products rather than academic exercises.

## The Mentorship Advantage

MyRealProduct’s approach centres on working practitioners, not lecture-hall professors. The six mentors brought real-world credentials: Hari Prasad Renganathan, a two-time founder and Columbia Startups 2024 finalist; Venkata Naga Sai, a data scientist at Blue Cross Blue Shield of South Carolina with recognition from major media outlets; and Mark Eltsefon, a staff data scientist at Meta who previously worked at TikTok.

The full mentor roster included Sohan Sethi, a data analytics manager at HCSC and LinkedIn Top Voice with over 100,000 followers; Sunjana Ramana, a data and AI engineer and two-time founder; and Sandeep Rani, a senior data analyst known for his analytics thought leadership.

This practitioner-led model addresses a documented gap in traditional education. According to [Forbes research](https://www.forbes.com/councils/forbestechcouncil/2022/10/11/the-data-science-talent-gap-why-it-exists-and-what-businesses-can-do-about-it/), the data science talent shortage exists partly because students struggle to gain practical experience with real unstructured data through traditional coursework, which often focuses on theory over applied skills like data cleaning and software engineering.

## What Actually Gets Built

The cohort’s output wasn’t theoretical. Participants developed AI solutions for sectors with immediate commercial potential: healthcare diagnostic tools, food recommendation systems, therapy support applications and grocery optimisation platforms. The programme’s structure – time-limited, problem-based product launches – forced participants to focus on [user needs](https://www.sovereignmagazine.com/article/hands-on-approach-asti-academy-s-level-5-diplomas-give-engineering-talent-a-second-chance) rather than academic exercises.

This approach mirrors findings from [cohort-based learning research](https://www.learndash.com/blog/cohort-based-learning/), which shows completion rates of up to 95% for intensive programmes compared to traditional online courses. The collaborative, deadline-driven environment creates accountability that academic settings often lack. This hands-on approach to [AI education for working professionals](https://www.sovereignmagazine.com/article/ai-in-your-spare-time-how-education-helps-adults-upskill-without-quitting-the-day-job) addresses the practical skills gap that many traditional courses miss.

The practitioner-led model also addresses employer complaints about graduate preparedness. [Industry data](https://www.coursereport.com/reports/2020-coding-bootcamp-alumni-outcomes-demographics-report-during-covid-19) shows that 79% of bootcamp graduates secure full-time employment in relevant roles, with average salary increases of 56%.

The cohort also showcased HeyClono, a platform that enables creators to maintain 24/7 audience interaction through digital clones. These AI-powered replicas allow content creators to engage with followers continuously without personal time investment, creating new monetisation opportunities.

Three creators demonstrated this technology: Anmol Gilra, a product marketing professional with over 51,000 followers; Violeta Hryhorian, Canada’s leading project management creator and podcast host; and Abimbola (Victoria) Arowolo, a Microsoft MVP and advocate for women in tech. [Research on digital clones](https://theresanaiforthat.com/ai/klones/) indicates these tools can increase creator income with minimal additional effort by enabling fans to pay for personalised interactions.

The technology addresses a fundamental challenge in the creator economy: scaling personal engagement. Traditional content creation requires constant personal presence, limiting revenue potential. [Digital clones offer](https://www.sovereignmagazine.com/article/trial-grants-on-farm-data-for-ag-input-makers-winners-and-runners-up-alike) continuous engagement opportunities that can diversify revenue streams beyond sponsorships and merchandise.

## Real-World Application Focus

The mentors’ backgrounds highlight the programme’s practical focus. Hari Prasad Renganathan has built products, founded companies and recently became a Columbia Startups finalist. His experience spans the entire product development lifecycle, from conception to market launch.

Mark Eltsefon’s journey from TikTok to Meta demonstrates the career progression possible in data science. His hands-on experience with large-scale data systems at major tech companies provides participants with insights into industry-standard practices. Similarly, [real-time data analytics applications](https://www.sovereignmagazine.com/article/real-time-supply-chain-decisions-how-pluto7-s-ai-platform-is-being-put-to-work) in business show the immediate value of practical AI skills.

Sohan Sethi’s dual identity as analytics manager and LinkedIn Top Voice illustrates the modern data professional’s need for technical skills and communication abilities. His startup experience adds entrepreneurial perspective to technical training.

## The Business Case for Intensive Training

The MyRealProduct experiment raises questions about training effectiveness. Can four weeks of intensive, mentor-led work produce job-ready AI professionals? The evidence suggests yes, under specific conditions.

[Data science bootcamps](https://www.executivelevels.com/which-data-science-bootcamps-have-job-placement/) typically achieve job placement rates of 74% to over 90% within six months. These programmes focus on practical, job-ready skills and offer career support that traditional degrees often lack. This contrasts with [flexible advanced degree programmes](https://www.sovereignmagazine.com/article/barcelona-technology-school-and-snatika-rethink-advanced-degrees-for-working-leaders) that balance theoretical knowledge with practical application.

The key difference lies in approach. While traditional education emphasises breadth, intensive programmes prioritise depth in immediately applicable skills. [Research comparing bootcamp graduates to computer science degree holders](https://blog.turingcollege.com/coding-bootcamp-vs-college-degree/) shows nearly identical employment rates at major tech companies: 6.60% for CS graduates versus 6.03% for bootcamp alumni.

Small teams like MyRealProduct’s cohort groups also benefit from agility advantages. [Case studies from successful startups](https://review.firstround.com/dbt-labs-path-to-product-market-fit/) demonstrate that small, focused teams can iterate faster and pivot more effectively than large corporate labs, despite having fewer resources.

The programme’s sector diversity – healthcare, food, therapy, groceries – reflects AI’s broad applicability. Participants gain experience with real-world constraints and [user needs](https://www.sovereignmagazine.com/article/hands-on-approach-asti-academy-s-level-5-diplomas-give-engineering-talent-a-second-chance) rather than abstract problems. This practical approach mirrors trends in [hands-on coding education](https://www.sovereignmagazine.com/article/can-gaming-make-coders-out-of-everyone-inside-your-code-first-playground) that emphasises building over studying.

## What This Means for Business

The MyRealProduct cohort represents a shift towards practitioner-led education. As [skills gap research](https://www.naceweb.org/career-readiness/trends-and-predictions/beyond-the-skills-gap/) indicates, traditional education systems struggle to keep pace with rapidly evolving industry needs, particularly in fast-changing fields like AI and data science.

The programme’s success suggests that intensive, mentor-led cohorts can complement traditional education. While degrees provide theoretical foundations, cohorts offer practical application and industry connections. Business leaders evaluating talent development should consider this model’s advantages: shorter time to productivity, practical skill focus and direct industry mentorship.

The approach particularly suits organisations needing rapid capability building in emerging technologies. For aspiring data professionals, programmes like MyRealProduct offer an alternative pathway that emphasises [building over studying](https://www.sovereignmagazine.com/article/what-happens-when-teachers-not-tech-set-the-pace-for-ai-in-classrooms). The four-week timeframe forces rapid learning and immediate application – skills that transfer directly to workplace contexts.