Currently an Extern @Breaking Games·🟢 Open to work

Emerging AI Professional & Data Enthusiast

I specialize in Artificial Intelligence and data analytics, focusing on consumer insights and operational strategy.

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Work samples

Discover my work in AI and data analytics, including insights from leading brands and operational strategies.

Amazon Operational Strategy & People Analytics Externship
Amazon · Jul 2026 · ✅ Verified by Extern
Amazon Operational Strategy & People Analytics Externship
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
Data AnalysisPythonStrategyOperations
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
Beats By Dre · May 2026 · ✅ Verified by Extern
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
A Beats by Dre externship in data analytics, focused on extracting and synthesizing qualitative and quantitative consumer insights from reviews, surveys, and support data.
Top performerData AnalysisPythonAI & ML

About me

I specialize in Artificial Intelligence and data analytics, focusing on consumer insights and operational strategy.

Results-driven and analytical professional with over 12+ years of experience across 3 countries, bringing a solid foundation in event management and banking, and expanding expertise in data science, data visualization, machine learning, Python, and SQL. Proven track record in customer service, strategic planning, problem-solving, team collaboration, and an ability to manage competing priorities and tight timelines.

Externships

SQL & Database Architecture Externship with Breaking Games

Breaking Games

Experience

People analytics and operational strategy Intern

Extern · 05/26 – 07/26

Quantitative & Qualitative Insights Intern

Extern · 02/26 - 05/26

Data Analysis Intern

Victoria Solutions · 09/25 -10/25

Call Data Analytics and Evaluation Intern

Triple ten · 08/25- 09/25

Senior Event & Catering Manager

Safari Texas Ranch · 05/14 - 02/24

Retail Banking

TD Canada Bank, Edmonton/ HDFC Bank, Kolkata · 05/08 – 04/12

Education

Triple Ten

Data Science Professional Training Program

AICTE

master’s in business Administration (MBA)

WBU Tech

bachelor’s in business administration (BBA)

Skills

PythonSQLBeautiful SoupNumPyData CleaningGitHubLang ChainStatistical AnalysisRegression AnalysisPCANLTKMachine LearningXG BoostScikit-learnRandom ForestLight GBMTensorFlowMatplotlibData VisualizationFlourish

Back to works

Amazon · Jul 2026 ↗

✅ Verified by Extern

Amazon Operational Strategy & People Analytics Externship

Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

Data AnalysisPythonStrategyOperations

Overview

The work mapped operations and analyzed employee voice across Glassdoor and YouTube to surface themes affecting retention at a fulfillment center. Data collection and cleaning were done in Python with Pandas, followed by sentiment, keyword, and theme extraction across platforms. The project produced segment-level priority tables and a pilot-ready 5-slide intervention addressing scheduling

Amazon Operational Strategy & People Analytics Externship

Google Slides

Access

What I've accomplished

I produced cleaned, annotated datasets and cross-platform analyses that identified five themes, ranked priorities by segment, and delivered a 5-slide pilot recommending three scheduling changes for full-time associates.

Project breakdown

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Back to works

Beats By Dre · May 2026 ↗

✅ Verified by Extern

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

A Beats by Dre externship in data analytics, focused on extracting and synthesizing qualitative and quantitative consumer insights from reviews, surveys, and support data.

Data AnalysisPythonAI & ML

Overview

The work analyzed customer feedback and survey data, producing comparative summaries, journey maps, statistical analyses, sentiment plans, and a go-to-market slide deck for a premium portable speaker. Deliverables included charts, visualizations, an AIDA journey map, and a product recommendation. The work was awarded Top Performer by Beats By Dre.

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

Google Slides

Access

What I've accomplished

I synthesized review and market data into a complete slide deck that defined a target segment, diagnosed value gaps, and recommended a $199–$249 premium portable speaker with accompanying specs, pricing bands, and revenue scenarios.

Top performer

Project breakdown

View all works

Work samples

Amazon Operational Strategy & People Analytics Externship

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

About me

Amazon Operational Strategy & People Analytics Externship

Overview

What I've accomplished

Project breakdown

Understand the Operational ChallengeI mapped roles and responsibilities inside a fulfillment center and documented tools and interactions for each position.

Collect & Clean Employee Voice DataI collected, cleaned, and structured Glassdoor and YouTube employee feedback using Python and Google Colab, producing cleaned datasets and annotated examples for analysis.

Find Sentiment & Keyword Patterns in Employee Voice DataI summarized cross-platform differences in employee sentiment and keyword themes from Glassdoor and YouTube data.

Uncover Themes & Root Causes in Employee Voice DataI built a themed summary of employee feedback, tagging comments by theme and sentiment and compiling representative quotes into a summary table.

Segment the Workforce & Identify PrioritiesI segmented employee reviews into labeled cohorts and ranked which groups faced the most frequent and severe friction.

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

Overview

What I've accomplished

Project breakdown

Create a Pain Point ChartI generated a top-5 pain-point summary for consumer headphones and compared model-level issues between Sony WH‑1000XM5 and Bose QuietComfort Ultra.

Map the Customer JourneyI built a customer journey map for a laptop buyer using the AIDA framework.

Analyze Consumer InsightsI analyzed survey responses for wireless speakers, performing quantitative and qualitative analyses and producing visualized results in Google Sheets.

Conduct Sentiment AnalysisI brainstormed EDA and sentiment-analysis approaches for customer reviews, listing internal and external data sources and proposing aspect-based sentiment checks for product features.