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GenAI Powered Data Analytics

Location: United States
Experience Type: Free Trainings, Projects (Unpaid)
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GenAI-Powered No-Code Analytics to Realize Business Objectives

Welcome to the GenAI Powered Data Analytics Job Simulation! We are thrilled to have you here.

Tata Insights and Quants (Tata iQ) is the Tata Group’s advanced analytics and AI center of excellence. Tata iQ partners with companies across the Group to turn data into competitive advantage by enabling smarter, data-informed decision-making.

During this program, you will step into the role of an AI transformation consultant and complete tasks that replicate the work this role does every day. You’ll learn key skills in:

Predictive modeling using GenAI toolsData exploration and quality assessmentBusiness storytelling and recommendation designDesigning AI-driven systems for fair and responsible automation

We hope this program provides a great resource for you to upskill and strengthen your resume as you explore career options and a potential future at Tata iQ.

This program is self-paced. It takes approximately 3-4 hours to complete.

Skills Learned:

  • Intro & Scenario
    Background context and your project team
  • Exploratory data analysis and risk profiling
    Ensure data integrity and uncover key risk factors to build a stronger delinquency prediction model for Geldium

    • Exploratory Data Analysis
    • AI Analytics
    • Analytical Reporting
    • Data Quality Management
  • Predicting delinquency with AI
    Design a predictive model to identify at-risk customers using GenAI-powered insights and responsible evaluation strategies

    • Predictive Analytics
    • Model Selection
    • Model Validation
  • Business report and data storytelling for collections strategy
    Turn AI insights into strategy by crafting a stakeholder-ready business report to guide delinquency reduction efforts

    • Business Communication
    • Strategic Thinking
    • Ethical Reasoning
    • Data Interpretation
    • Decision Making
  • Implementing an AI-driven collections strategy
    Design an AI-powered collections strategy to help Geldium engage high-risk customers with smart, fair, and scalable outreach

    • AI Strategy
    • Ethical Reasoning
    • Regulatory Compliance
    • Process Automation
  • Finish Line

Experience Information

Sponsor
Tata
Learn More
Claire KliegerForage logo
Forage Showcase your skills. Find your career fit.
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Contact & Location

Phone
(610) 328–8352
Email
career@swarthmore.edu
Address

500 College Ave.
Parrish Hall 135
Swarthmore, PA 19081

Career Service Hours

M Monday 8:30 am – 4:30 pm
T Tuesday 8:30 am – 4:30 pm
W Wednesday 8:30 am – 4:30 pm
TH Thursday 8:30 am – 4:30 pm
F Friday 8:30 am – 4:30 pm

Office closed daily from 12–1pm for lunch.

Meet the Team

Claire Klieger Meet Claire Klieger
Erin Massey Meet Erin Massey
Kristie Beucler Meet Kristie Beucler
Jennifer Barrington Meet Jennifer Barrington
Pattie Kim-Keefer Meet Pattie Kim-Keefer
Kelly Dougherty Meet Kelly Dougherty
Lisa Maginnis Meet Lisa Maginnis
Talia Barnes Meet Talia Barnes
Phone
(610) 328–8352
Email
career@swarthmore.edu
Address

500 College Ave.
Parrish Hall 135
Swarthmore, PA 19081

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