Available Now · French Work Authorisation
Deepayan
Sarkar.
Data Scientist & Analytics Professional
Data is not just my profession — it's how I think. 4+ years delivering data pipelines and analytics at scale at Accenture. Finalising an MSc in Data Analytics for Business at KEDGE Business School — open to internship and CDI opportunities across the EU.
Top 3 Impact Highlights
10M+
Records Processed Daily
35%
Processing Time Reduction
<1 hr
Research Time (was 4–8 wks)
Experience
Where I've Built
Things.
10M+Records/day35%Faster processing99.9%Uptime40+ hrsSaved/month
- 1Engineered data pipelines processing 10M+ records daily and developed Power BI dashboards tracking 50+ KPIs, reducing processing time by 35% and improving operational efficiency by 20% through ETL optimisation and data visualisation solutions.
- 2Designed and maintained cloud infrastructure on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage) ensuring 99.9% uptime, conducted A/B testing and statistical analysis on datasets with 1M+ rows to optimise product features and improve customer experience by 30%.
- 3Collaborated with 15+ cross-functional stakeholders to deliver 12+ analytical projects, automated reporting processes saving 40+ hours monthly, and mentored junior analysts on data analysis best practices and SQL optimisation techniques.
PythonSQLPower BIBigQueryDataflowGCPA/B TestingETL
Impact Highlights
10M+
Records/day
35%
Faster processing
99.9%
Uptime
40+ hrs
Saved/month
Projects
Selected
Work.
01
NLP · Hackathon
Multi-Label Skincare Product Classifier
L'Oréal Hackathon · KEDGE Business School
- Developed and deployed a multi-label text classification model using LinearSVC and One-vs-Rest classification to classify 6,240 products across 33 categories, achieving a weighted F1 Score of 0.67, in line with industry benchmarks.
- Engineered NLP pipeline with TF-IDF vectorisation (word and character n-grams) and optimised per-class thresholds for improved performance.
0.67
F1 Score
6,240
Products
33
Categories
LinearSVCOne-vs-RestTF-IDFscikit-learnPythonNLP
View on GitHub02
ML · Clustering
Spotify Music Recommendation System
Unsupervised Learning · KEDGE Business School
- Built an unsupervised music recommendation system by applying K-Means clustering to song-level audio features to uncover latent user taste patterns and evaluated performance using the Silhouette, Calinski-Harabasz, and Davies-Bouldin indices.
- Performed feature engineering and preprocessing to enhance clustering stability and designed a similarity-based recommendation approach to enable personalised and cold-start recommendations.
K-Means
Algorithm
3
Eval Indices
Cold-Start
Enabled
K-MeansPythonscikit-learnFeature EngineeringSilhouette Index
View on GitHub03
GenAI · Hackathon
AI Persona Bots for Marketing Research
BNP Paribas & CGI Hackathon · KEDGE Business School
- Built AI-simulated customer personas using Azure AI Foundry and GPT-4o to accelerate credit product launches, processing 2,438 survey responses across 8 distinct customer segments with 88.6% relevance, 97.8% coherence, and 100% fluency scores.
- Engineered end-to-end pipeline with persona generation, NLP-based sentiment analysis, and automated insight synthesis, reducing marketing research time from 4–8 weeks to under 1 hour whilst maintaining high-quality customer simulation accuracy.
88.6%
Relevance
97.8%
Coherence
100%
Fluency
<1 hr
vs 4–8 wks
Azure AI FoundryGPT-4oNLPSentiment AnalysisPython
04
Mobile App · SLM
Offline Vision Assistant for the Visually Impaired
Personal Project · Flutter / Supervised ML
- Built a fully offline Android accessibility app using Flutter that leverages on-device supervised machine learning to identify objects and scenes in real time, converting visual information into spoken audio feedback for visually impaired users.
- Integrated camera, flutter_tts, and speech_to_text packages to enable a hands-free, voice-driven experience — allowing users to ask questions and receive instant audio descriptions without an internet connection.
- Implemented a Provider-based state architecture and CI/CD workflow via GitHub Actions to automate APK builds, ensuring reliable releases and a production-ready deployment pipeline.
100%
Offline
Real-time
Inference
Android
Platform
FlutterDartTensorFlow LiteCamera APIText-to-SpeechSpeech-to-TextGemma 3 1BSmall Language ModelSDGs
View on GitHub05
Data Visualisation
China Import/Export Transport Analysis
Tableau Public
- Built an interactive Tableau dashboard exploring China's import/export transport patterns — analysing trade volumes, shipping modes, and commodity flows across global corridors.
- Designed multi-layered filters and drill-down views enabling dynamic exploration of trade data by year, commodity type, and transport mode (sea, air, rail, road), surfacing actionable insights for supply chain analysis.
- Applied calculated fields and LOD expressions to derive year-over-year growth rates and market share breakdowns, visualising shifts in China's top trading partners and strategic export corridors.
4
Transport Modes
YoY
Growth Trends
Tableau
View DashboardSkills
Technical
Arsenal.
Programming & Machine Learning
PythonpandasNumPyMatplotlibscikit-learnXGBoostLightGBMPyTorchTensorFlowSQLStatistical ModellingSupervised LearningUnsupervised LearningNatural Language Processing (NLP)Deep LearningFeature EngineeringModel Evaluation & Cross-ValidationMLOps
Data Tools
Power BITableauGoogle AnalyticsJupyterGitApache SparkAirflow
Cloud & Databases
Google Cloud PlatformBigQueryDataflowCloud StorageAzure AI FoundrySQL Server
Core Competencies
Recommendation SystemsForecastingCustomer AnalyticsA/B TestingETL PipelinesModel Interpretability
Education
Academic
Foundation.
Current
Master of Science in Data Analytics for Business
KEDGE Business School
Master 2nd Year
Sep 2025 — Present Bordeaux, France
Bachelor of Technology in Electronics and Communication Engineering
University of Engineering & Management
BTech
Jul 2017 — May 2021 Kolkata, India
Certifications
☁️
Google Cloud Certified: Associate Cloud Engineer
Google Cloud
2023
🤖
Microsoft Azure AI Fundamentals — AI-900
Microsoft
2026
🗄️
SQL for Data Science
Coursera · UC Davis
2022
📋
Professional Scrum Master I
Scrum.org
2026
Contact
Let's Build
Something.
I'm actively looking for internships and CDI opportunities across the EU. Whether you have a role, a project, or just want to talk data — I'd love to hear from you.
Available from Now
Based in Paris, France with French Work Authorisation. Open to internship and CDI roles in data science, machine learning, and analytics across the EU.
Data Science InternML EngineeringAnalyticsNLP Research
Send a message
Or email directly: deepayans77@gmail.com