Data Operations & Analytics

Ketki
Joshi.

I make data work harder
than most people do.

Three years in fintech. £240K+ in measurable savings. A knack for finding the signal in the noise — and the discipline to act on it. From London's leveraged finance desks to building ML models that change how teams plan and operate.

9fin · ex-London MSc Business Analytics Python · SQL · Tableau Bloomberg Terminal Available immediately
See the work ↓ 📄 Download CV
£150K saved web crawler automation 98.2% accuracy MSc dissertation
🌿
Data Ops & Analytics
Fintech · ML · Automation
£240K+
Combined annual savings delivered
5K+
Company profiles managed across US/EU/LATAM
by the numbers

Impact that speaks

🤖
£0K
annual savings via Python web crawler automation
📊
£0K
saved through predictive capacity planning model
🎯
0%
accuracy — fake job detection (MSc dissertation)
⚡
0%
reduction in news turnaround time at 9fin
🏢
0
company profiles managed weekly across US/EU/LATAM
🌍
0
experience across UK & India
career story

The journey so far

📄 Download CV
💼 Work Experience
May 2024 – Jan 2026
Data Operations Analyst
🇬🇧 9fin · London, United Kingdom
Spearheaded real-time news and debt coverage for ~5,000 company profiles across US/EU/LATAM. Led Python web crawler automation saving £150K/year, coordinating cross-functional delivery. Streamlined deduplication workflows cutting turnaround by 32%. Built KPI dashboards and QA frameworks in Notion.
🖥️ Bloomberg Terminal📋 Jira📊 Tableau🗂️ Notion🐍 Python🗄️ PostgreSQL🤖 scikit-learn📁 Monday.com🧮 Pandas📐 NumPy💬 Slack📝 MS Excel🗃️ Miro
Click to expand ↓
Jul 2021 – Aug 2022
Quality Analyst
🇮🇳 Fresh Gravity · India
End-to-end QA across the SDLC for MDM platforms (Reltio, Informatica) for First Tech and Sanofi. Regression, integration, system and UAT testing. Defect resolution via Jira and qTest. Agile methodology with cross-functional US teams.
📋 Jira🔍 qTest⚙️ Reltio🔧 Informatica💬 Slack📝 MS Excel
Click to expand ↓
🎓 Education
Sep 2022 – Sep 2023
MSc Business Analytics (2:1)
Queen's University Belfast · United Kingdom
Dissertation: fake job detection using Random Forest, SMOTE, TF-IDF and sentiment analysis — 98.2% accuracy. Projects: Airbnb price prediction (R²=0.43) across Athens, Berlin & Antwerp; British Airways sentiment & ML booking analysis.
📊 Tableau🐍 Python🗄️ PostgreSQL📈 Power BI🤖 scikit-learn🧮 Pandas📐 NumPy🎨 Matplotlib📝 MS Excel
Click to expand ↓
2017 – 2021
B.E. Information Technology (7.3/10)
Shri Ramdeobaba College of Engineering · India
Built a mental health chatbot as a final-year project — early exposure to conversational AI before it was mainstream. CS fundamentals, data structures, algorithms, software engineering.
🐍 Python📝 MS Excel
Click to expand ↓
what I bring

Skills & toolkit

🐍 Programming & Databases
PythonSQLPostgreSQLPandasNumPyMS ExcelMS Access
🤖 Machine Learning & Analytics
scikit-learnRandom ForestDecision TreesK-MeansTF-IDFSMOTERegressionStatistical Analysis
📊 Visualisation & BI
TableauPower BIMatplotlibMS PowerPoint
⚙️ Operations & Data Quality
Workflow OptimisationAutomationCapacity PlanningQA FrameworksData ValidationRoot Cause AnalysisProcess Mapping
portfolio

Work I'm proud of

🤖
Python Web Crawler Automation
Automated data ingestion for ~1,500 companies at 9fin, replacing 40+ hours of weekly manual analyst work. Led cross-functional delivery end-to-end.
💰 £150,000 annual savings
PythonHTML/JSPostgreSQLAutomation
📊
Predictive Capacity Planning Model
Built independently using 3 years of historical workflow data. Engineered features from earnings calendars and reporting cycles to forecast volume spikes.
💰 £90,000 annual savings
Pythonscikit-learnPandasTableau
🕵️
Fake Job Detection — MSc Dissertation
Binary classification pipeline. Applied SMOTE, TF-IDF and sentiment analysis. Compared Logistic Regression, Naive Bayes and Random Forest.
🎯 98.2% accuracy
Random ForestTF-IDFSMOTEPower BI
🏠
Airbnb Price Prediction
Multi-city price prediction across Athens, Berlin & Antwerp. Cross-city generalisation with feature engineering and regression analysis.
📍 R² = 0.43 · 3 cities
Pythonscikit-learnRegressionMatplotlib
case study

✈️ British Airways Analysis

🗣️ Passenger Sentiment
🤖 ML Booking Prediction
4.63/10
Avg Rating
3,500
Reviews
69
Countries
⭐ Overall passenger rating — number of reviews per score (1–10)
💬 Positive vs negative sentiment by service area
✅ Business class seats & hospitable crew top the positives
✅ On-time boarding consistently praised
⚠️ Luggage displacement is the #1 complaint
⚠️ Economy comfort & food portions need attention
📍 Philippines, Turkey, Finland & Luxembourg rate highest
📍 Romania, Iceland & Hong Kong need improvement
Top review keywords
service seat crew baggage time food business class passenger flight
93%
Precision (balanced)
41%
Accuracy after SMOTE
61%
Baseline accuracy
📊 Model performance: before vs after balancing
🔑 Top feature importances
🎯 SMOTE balancing boosted precision to 93%
✈️ Booking origin & route are strongest predictors
📅 Flight day significantly impacts booking probability
🧳 Baggage, preferred seats & meals are key upsell levers
the human behind the data

A little about me

🤖
Early AI believer
Built a mental health chatbot in undergrad (2021) — before ChatGPT made everyone an AI enthusiast. I was here first. 😏
🦉
Duolingo obsessed
Streak protector. Languages are just another kind of pattern recognition. Join my league →
📷
Love photography
Framing the perfect shot and framing the right analysis have more in common than you'd think. Finding beauty in details. 🌿
📚
Reading books
Non-fiction, mostly. Understanding how things work — people, systems, markets — makes you better at everything else.
🌱
Always learning
BA simulations, SQL assessments, a 12-month GenAI upskill roadmap. Every challenge is a learning sprint. 💪
open to opportunities

Let's work together

Available immediately. 3 years of fintech data experience, £240K+ in measurable savings, and the kind of attention to detail that makes pipelines actually work.

💼
Roles
Data Analyst · Data Ops · Analytics Engineer · Business Analyst
⚡
Availability
Immediately · No notice period
🌍
Open to relocation & remote
Open to relocation and remote opportunities globally
🛂
UK Visa
Eligible for Skilled Worker sponsorship
📧
Email
ketkipjoshi31@gmail.com
💼
LinkedIn
ketki-joshi-31051999kpj
Get in touch ✦