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Aditi Chaudhry

@aditichaudhry

Data Analyst applying Python, SQL, and Power BI to customer segmentation and revenue analytics, cutting reporting time by 70%.

India

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In my Customer Segmentation & Revenue Analytics project, I analyzed 3,900 customer purchases with Python and Pandas to identify spending patterns and customer segments. I recommended subscription, loyalty, discount, and targeted marketing strategies.

I automated data refresh and dynamic visualizations, reducing manual reporting time by 70%. In my Vendor Performance Analysis project, I used SQL to segment and rank suppliers, then improved query execution time by 50% through indexing and query restructuring.

Through the IBM PBEL GenAI Virtual Training cum Internship, I participated in six end-to-end projects and gained practical exposure to machine learning and generative AI technologies. I’ve also designed Salesforce data models, approval workflows, and security configurations during Salesforce CRM Training.

Experience

Work history, roles, and key accomplishments

IBM PBEL GenAI Virtual Training cum Internship

IBM & NASSCOM

Jun 2026 - Aug 2026 (2 months)

Participated in the IBM PBEL Virtual Training cum Internship Program in partnership with NASSCOM, gaining practical exposure to industry-relevant technologies and implementing 6 end-to-end projects, business problem-solving methodologies, and professional workplace practices. Built foundational knowledge in Machine Learning and industry-standard generative AI technologies.

Machine Learning Generative AI Project Management Problem Solving

Salesforce CRM Training

LearnowX

Oct 2025 - Jan 2026 (3 months)

Designed custom objects, fields, relationships, and data models in Salesforce; created Process Builder flows, validation rules, and multi-stage approval workflows. Gained expertise in Salesforce security architecture including profiles, permission sets, and role hierarchies across multiple org configurations.

Salesforce Process Builder Validation Rules Approval Workflows Security Architecture

GenAI Powered Data Analytics Job Simulation

Forage

Jul 2026 - Present (4 months)

Conducted AI-powered data analytics and strategy development for the Financial Services team at Tata iQ. Conducted exploratory data analysis (EDA) using GenAI tools to assess data quality, identify risk indicators, and structure insights for predictive modeling. Proposed and justified an initial no-code predictive modeling framework to assess customer delinquency risk, leveraging GenAI for structu

Data Analysis Generative AI Exploratory Data Analysis predictive modeling Strategy Development Ethical AI Regulatory Compliance