AMAAN KHAN

DATA ANALYST

BENGALURU, INDIA·2025 B.TECH CS·VIT VELLOREAVAILABLE FOR WORK

ABOUT

The Analyst
Behind The Numbers

/I translate messy, fragmented data into clear decisions. My focus is on the unglamorous middle of analytics — cleaning it, modeling it, and asking the question that turns a dashboard into a direction.

/I’ve identified $697K in churned MRR, built end-to-end funnel pipelines, and benchmarked 100+ ML algorithms — across early-stage startups, AI model evaluation firms, and consumer electronics.

Personal Project

$0KChurned MRR identified

Tunez

0+Competitor brands benchmarked

Outlier AI

0%Data reliability increase

Alignerr

0%Evaluation consistency improvement

Journey

Experience

Apr 2026 — PresentTunezCEO Intern
- Competitor Intelligence SystemMapped pricing, listings & review velocity for 6+ brands across Amazon, Flipkart & D2C
- Pricing Benchmark ModelTracked real-time price gaps vs boAt, Noise, Boult, pTron, Mivi
- Review Velocity AuditSentiment & rating patterns across competitor product catalogues
Sep 2025 — Nov 2025AlignerrData Analyst — Model Evaluation & Benchmarking
- ML Algorithm BenchmarkingComparative reports across 100+ ML algorithms, improved evaluation consistency by 25%
- Decision-Support ReportsReduced ambiguity in algorithm selection via structured evaluation frameworks
- Performance Trade-off MappingMapped engineering complexity vs business applicability across model candidates
Oct 2024 — Mar 2025Outlier AIData Analyst — Quality Auditing & Validation
- AI Output AuditingIncreased data reliability by 30% auditing thousands of AI-generated outputs
- Adversarial Test Case DesignDesigned 100+ adversarial test cases to stress-test model behavior
- Failure Pattern AnalysisIsolated recurring anomalies via root cause analysis, informing model readiness decisions
Jul 2021 — Jul 2025VIT VelloreB.Tech Computer Science
- Core CS CurriculumDBMS, Statistics, ML Foundations, DSA, Probability Theory
- Data Pipeline ProjectEnd-to-end pipeline built with Python + PostgreSQL
- Job Market AnalysisScraped 1,000+ postings, published as interactive Tableau view

Experience Canvas

TunezApr 2026 — Present3

TunezAnalytics

Competitor Intelligence System

Mapped pricing, listings & review velocity for 6+ brands across Amazon, Flipkart & D2C3 techs

Weekly market-state digest landing in the founder inbox every Monday morning
Pricing telemetry, listing audits, review velocity rolled up by SKU and brand
Powers the Monday product review — first input to the weekly roadmap

PythonPandasPower BI

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TunezResearch

Pricing Benchmark Model

Tracked real-time price gaps vs boAt, Noise, Boult, pTron, Mivi2 techs

Daily SKU-level price deltas with MAP-violation and stock-out flags
Side-by-side benchmarks across 6+ competing audio & lifestyle brands

ExcelSQL

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TunezAnalysis

Review Velocity Audit

Sentiment & rating patterns across competitor product catalogues2 techs

Lightweight NLP pass categorising emerging complaints by theme
Weekly sentiment trend lines per brand, surfaced in the Power BI dashboard

PandasNLP

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AlignerrSep 2025 — Nov 20253

AlignerrBenchmarking

ML Algorithm Benchmarking

Comparative reports across 100+ ML algorithms, improved evaluation consistency by 25%2 techs

Built head-to-head benchmarks across 100+ ML algorithms on shared eval sets
Raised evaluation consistency by 25% by standardising the scoring criteria

Pythonscikit-learn

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AlignerrDocumentation

Decision-Support Reports

Reduced ambiguity in algorithm selection via structured evaluation frameworks1 tech

Authored decision-support docs that ranked candidates against business constraints
Frameworks adopted by the modelling team as a default selection checklist

Documentation

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AlignerrAnalysis

Performance Trade-off Mapping

Mapped engineering complexity vs business applicability across model candidates1 tech

Quantified the trade-off between accuracy, latency and engineering cost per model
Surfaced 2-3 dark-horse candidates that scored better on business fit than headline metric

Analysis

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Outlier AIOct 2024 — Mar 20253

Outlier AIQA

AI Output Auditing

Increased data reliability by 30% auditing thousands of AI-generated outputs2 techs

End-to-end review across math, code, reasoning and writing prompts at scale
Improved overall dataset reliability by 30% via structured re-annotation passes

AnnotationPython

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Outlier AITesting

Adversarial Test Case Design

Designed 100+ adversarial test cases to stress-test model behavior1 tech

Authored 100+ adversarial prompts probing edge cases and prompt-injection paths
Test set carried over into recurring regression evaluations for new model versions

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Outlier AIValidation

Failure Pattern Analysis

Isolated recurring anomalies via root cause analysis, informing model readiness decisions1 tech

Clustered failure modes by category and traced them back to upstream data issues
Findings fed straight into the go / no-go call on model release windows

Analysis

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VIT VelloreJul 2021 — Jul 20253

VITAcademic

Core CS Curriculum

DBMS, Statistics, ML Foundations, DSA, Probability Theory0 techs

Computer Science undergrad with a heavy lean into databases & statistics
Strong DSA fundamentals carried throughout the four-year programme

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VITProject

Data Pipeline Project

End-to-end pipeline built with Python + PostgreSQL2 techs

Shipped cleaned analytical tables out of a transactional Postgres store
Scheduled ETL with validation checks, documentation and rollback steps

PythonPostgreSQL

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VITFeatured ⭐

Job Market Analysis

Scraped 1,000+ postings, published as interactive Tableau view3 techs

Crawled 1,000+ data-analyst job posts across Indian metros
Mapped skill demand, salary bands & hiring trends by region
Published as an interactive Tableau workbook with filters by city & level

PythonBeautifulSoupTableau

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Scroll or drag to explore

Languages

PythonSQLHTML/CSS

Analytics & BI

Power BITableauExcelPandasNumPyGoogle SheetsMatplotlibPlotly

Databases

PostgreSQLMySQL

Frameworks

FlaskETL Pipelines

Methods

A/B TestingCohort AnalysisFunnel AnalysisKPI MonitoringEDAData ModelingHypothesis TestingTime-Series AnalysisData WarehousingData Quality AuditingStakeholder Reporting

python~/portfolio

> amaan @analyst % $ pip list Package Version -------------------- ------- pandas 2.2.2 numpy 1.26.4 matplotlib 3.9.0 plotly 5.22.0 scikit-learn 1.5.0 flask 3.0.3 psycopg2 2.9.9 # + Power BI · Tableau · Google Sheets $

SaaS Churn & Revenue Risk Analytics

Identified $697K in churned MRR and 57% revenue churn rate across 2,800+ subscriptions. Premium users drove 68% of revenue loss.

PythonSQLPostgreSQLGoogle Sheets

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Product Funnel & Conversion Pipeline

Built 4-stage funnel tracking 1,000+ users. Facebook Mobile at 18% conversion (3x Twitter Desktop). Reduced time-to-conversion by 40%.

FlaskPostgreSQLPythonSQL

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India DA Job Market Analysis

Analyzed 1,000+ job postings. SQL linked to 22% higher salaries (₹6.8L vs ₹5.6L). Python + Tableau found in 45% of high-paying roles.

PythonWeb ScrapingPandasTableau

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LET’S TURN DATA
INTO DECISIONS

Open to Data Analyst, Business Analyst roles and freelance analytics work. Based in Bengaluru — happy to work across IST or remote.

Get in touch →View GitHub → Download Resume

amaankhan.ak421@gmail.com linkedin.com/in/amaankhan41 github.com/ronin411

AMAAN KHAN

The AnalystBehind The Numbers

Competitor Intelligence System

Pricing Benchmark Model

Review Velocity Audit

ML Algorithm Benchmarking

Decision-Support Reports

Performance Trade-off Mapping

AI Output Auditing

Adversarial Test Case Design

Failure Pattern Analysis

Core CS Curriculum

Data Pipeline Project

Job Market Analysis

Languages

Analytics & BI

Databases

Frameworks

Methods

SaaS Churn & Revenue Risk Analytics

Product Funnel & Conversion Pipeline

India DA Job Market Analysis

LET’S TURN DATAINTO DECISIONS

The Analyst
Behind The Numbers

LET’S TURN DATA
INTO DECISIONS