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Program Objective

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Internship Program for Grad Students

We are offering an exclusive internship program for graduate students in Data Science, Machine Learning, or related fields, providing them the opportunity to solve real-world AI and machine learning challenges.

Utilizing AXIO, our groundbreaking AI platform, participants can rapidly design AI solutions and present to industry experts, potentially leading to exciting employment opportunities.

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Current Challenge

Student POV

Limited opportunities for graduate students to apply AI and data science in real-world business scenarios.

Lack of access to necessary data even when opportunities are available.

Academia POV

Shortage of essential data for conducting experiments in academia.

Lack of viable synthetic data generation solutions in the market that can be tailored to a wide variety of industry & domain-specific problems.

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Our Solution

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10-week, 4-phase internship program

Work on domain-specific business use cases curated by industry experts.

Use AXIO’s tools (our AI Platform) to automatically generate detailed metadata, identify PII and KDEs, and create actionable insights on synthetic data

Build a machine-learning model that utilizes synthetic data to solve the desired challenge

Pitch to Industry Experts for a chance of employment

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Stage One

Initial Challenge

Candidates select an AI business challenge from a list curated by industry experts.

We provide the business problem, OKRs, and synthetic data, expecting candidates to solve the problem within a week.

Stage Two

Interview

Qualified candidates progress to the interview stage, where we assess their problem-solving and technical skills.

All candidates will receive expert interview experience and preparation.

Stage Three

Internship

Interns tackle increasingly complex business problems over a four-week period.

Mentors provide guidance and support, culminating in a two-week period where participants present their solutions to industry experts.

Stage Four

Employment

Successful candidates solve increasingly complex problems for an additional four weeks, receiving monetary compensation.

After another round of presentations, we offer career support and facilitate interviews with interested enterprises.

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Example Problem

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Cybersecurity for Card Transactions

Description: Preventing enumeration attacks on card transactions to safeguard customer data and financial assets.

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Business Context: Large financial institutions struggle to protect their systems from enumeration attacks on card account numbers during authentication and authorization. These attacks probing systems to identify valid card numbers and authentication data, leading to potential cyberattacks like fraud, identity theft, and unauthorized access to sensitive information. Successful attacks can result in financial losses, reputational damage, regulatory penalties, and legal liabilities.

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Key Result: Increase the detection rate of enumeration attacks by 50%, improving from a detection rate of 60% to 90% within the next quarter.

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Why Us?

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AXIO Platform Access: A comprehensive data analytics pipeline offering automated metadata generation, tailored synthetic data creation, and actionable insights.

Potential Employment: Tackle issues relevant to hiring leaders' domains, creating a direct pipeline for potential employment.

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