Pune, India — Open to Analytics & AI roles

Hello, I'm Arushi !

Business Analytics (Hons.) graduate from FLAME University — Rank 4, Dean's Roll of Honour every semester — building AI/ML and predictive-analytics solutions across travel-tech, healthcare, insurance, and fashion. From LLM & RAG chatbots in production to dashboards that ship.

Arushi Arney in graduation cap and marigold gown at FLAME University ✦ BBA (Hons.) Business Analytics Rank 4 in Cohort AI × ML @ IIT Hyderabad
( Selected work )

Projects that shipped, not just slides.

Python · FastAPIReactGemini · GPT-4o-miniRAG

Kite AI — Agentic AI for Social Media

End-to-end autonomous content system for a live fashion Business "AmyruhLuxe": transforms raw product photos into studio-quality posts, writes brand-voice captions, and auto-publishes to Instagram via the Graph API — with a real-time engagement feedback loop that self-improves scheduling.

▲ 78.6% brand-voice match lift · Postive Client Feedback · High LLM-as-judge quality checks
TensorFlowResNet50

Lung Infection Detection

CNN with transfer learning classifying chest X-rays into COVID-19, viral pneumonia, and normal for real-time diagnosis support.

▲ High precision & AUC on clinical classes
PythonResNet18

Ship Image Classification

Automated 5-category ship classification with transfer learning, weighted loss, augmentation, and early stopping.

▲ 90%+ F1 score
RKNN · LogReg

Airline Satisfaction Prediction

Compared KNN against logistic regression for customer-satisfaction classification with stronger precision and recall.

▲ 93.4% accuracy (vs 77.5% baseline)
PythonSMOTE · PCA

Dry Bean Classification

KNN and decision-tree models with SMOTE and PCA to tame class imbalance and feature redundancy.

▲ 92% accuracy
Rdplyr · ggplot2

AI vs Human Intelligence

Comparative analysis of academic performance across difficulty, subject, and assessment type.

▲ AI 92.9% vs humans 86.7%
R SMOTE· Logistic Regression

Customer Churn Prediction

Developed a churn prediction model using top 5 features selected via information gain.

▲ high accuracy & recommended model improvements.
Python/R dplyr · VADER

Social Media Strategy Analysis

Analysed 4,500+ tweets using SNA, sentiment analysis, and LDA topic modelling.

▲ 98% positive sentiment · identified peak posting window & content mix
( About me )

Analytics brain, builder's hands.

I'm a Business Analytics (Hons.) graduate with a minor in Digital Marketing & Communications, currently deepening my AI edge through a specialised AI & ML program at TiHAN, IIT Hyderabad — selected for the inaugural batch.

My sweet spot is the space between raw data and business decisions: I've deployed an LLM-based RAG chatbot for a travel company, validated clinical AI models with doctors, published data visualisations used across 100+ countries, and I'm now on the founding team of an AI fashion-styling startup, owning its data architecture end to end.

I write about data and AI on Medium, and at 15 I published a science-fiction novel reimagining Indian mythology through AI — proof this obsession started early.

As President of DotSlash, FLAME's technology club, I led a 30-member team and founded the university's first coding team. I like rooms where technical and non-technical people have to understand each other — that's where analytics earns its keep.

( Data Visualizations )

Charts that got published.

Selected visualization work in Tableau & Power BI — including living-wage and social-security analyses published by WageIndicator across 100+ countries.

2022 vs 2023 social security contribution by country according to PwC — Tableau visualization by Arushi Arney
Employer vs Worker Contributions (ISSA)Tableau · Diverging bars · WageIndicator
Employer vs worker social security contribution by country according to ISSA — diverging bar chart by Arushi Arney
Total Contributions by Country (ISSA)Tableau · Stacked bars · WageIndicator
Total social security contribution by country according to ISSA — stacked bar chart by Arushi Arney
Social Security: 2022 vs 2023 by CountryTableau · PwC data · WageIndicator
( Experience )

Where skill meets impact.

Six roles across travel-tech, healthcare AI, insurance, digital marketing, and fashion — each one shipped something real.

Nov 2025 — Present (Part-Time)

Tech & Applied AI Strategist - Founding Team

StyleCanvas — AI fashion-styling platform start-up
  • Architecting end-to-end data systems: ingestion, cleaning, and pipeline design powering styling recommendations.
  • Engineering the analytics layer that turns raw user and styling data into client-facing business insights.
  • Leading website development and integrating AI styling features into the user-facing product.
Aug 2025 — Mar 2026

AI Model Deployment & Testing — Freelance Consultant

Doctors for AI Foundation
  • Collaborated with clinicians on a NAFLD prediction & progression AI model, gathering feedback via RLHF.
  • Ran technical validation of Orange-based predictive models for robust, reliable clinical insights.
May 2025 — Jul 2025

AI Analytics & Product Intern

RideAlly Travels Pvt. Ltd.
  • Architected and deployed an LLM-based RAG chatbot for customer service.
  • Delivered predictive-analytics solutions — sentiment and cluster analysis surfacing service-efficiency insights.
Sep 2024 — Apr 2025

Digital Marketing Intern

WageIndicator Foundation
  • Executed digital strategy across six country websites: audits, SEO strategy, keyword research, AI content visibility.
May 2024 — Aug 2024

Data Visualization & Analysis Intern

RPD Insurance — QuinStreet
  • Transformed complex raw datasets into visualisations for insurance SEO content — 80% selected and published on official sites.
Sep 2023 — Apr 2024

Data Analysis & Visualization Intern

WageIndicator Foundation
  • Analysed and visualised living-wage data from 100+ countries in Tableau; published on WageIndicator, expanding global wage-data accessibility.
( Toolkit )

Core competencies.

01Data Analysis & Modeling

PythonRSQL (MySQL)Predictive AnalyticsStatistical Modeling

02Applied AI / ML

LLMs & RAGDeep Learning (CNN)Transfer LearningSentiment AnalysisCluster AnalysisGenAI & AI Agents

03Visualization & BI

Power BITableauExcelDashboard DesignKPI Reporting

04Analytics & Strategy

Data Cleaning & PrepA/B & Campaign AnalysisMarket ResearchSEO AnalyticsStakeholder Communication
( Education & beyond )

Trained to think. Wired to build.

Jun 2026 — Dec 2026 (expected)

AI & ML with Autonomous Vehicle Technology

TiHAN — IIT Hyderabad · Specialised Certification
Inaugural batchMLOps · LLMs · Computer Vision
Aug 2022 — May 2026

BBA (Hons.) — Business Analytics

FLAME University · Minor: Digital Marketing & Communications
Rank 4 in CohortDean's Roll of Honour — every semester
Jun 2020 — Jul 2022

IB Diploma Programme

Victorious Kidss Educares
41/45 · Rank 3Full marks: Business, CS & Math

Leadership & Writing

  • President — DotSlash Technology Club, FLAMELed a 30-member team; founded the university's first coding team building for real stakeholders and hackathons.
  • Published Author — JEEV (2019)Science-fiction novel reimagining Indian mythology through AI, on Amazon Kindle.
    View on Amazon ↗
  • Tech & AI Writer — MediumArticles on data analytics, predictive modeling, and business applications.
  • Crowd-Funding Lead — Habitat for Humanity IndiaLed a youth initiative raising ₹7.5 lakh for COVID-19 food relief, PAN-India.
  • Digital Marketing — TEDxFLAMEUniversityCampaigns and social strategy that boosted event visibility.
( Get in touch )

Let's build something intelligent together.

I'm looking for full-time roles in analytics, AI/ML, and data. If you're a recruiter or a team that ships — my inbox is open.