Data Scientist & AI Engineer

Building AI products that move from notebook to production.

I am Avner Adda, a Tel Aviv based data scientist focused on applied machine learning, GenAI systems, RAG, and analytics products across consulting, healthcare, financial services, and consumer platforms.

PythonGenAIRAGAWSGCPSparkSQLDockerLangChainFirebase

About

Applied AI with a product mindset.

My work sits at the intersection of data science, software delivery, and business decision-making. I care about models that survive real users, real data quality, and real operational pressure.

What I bring

  • Translates ambiguous business questions into measurable data products.
  • Builds practical GenAI systems with retrieval, evaluation, and production constraints in mind.
  • Works across stakeholder groups, from technical teams to executives and client-facing consultants.
RAG and AI-agent workflows
Healthcare and financial analytics
Data products from prototype to adoption
Model evaluation and operational quality

Experience

Professional work

A record of building data systems, machine learning workflows, and applied AI solutions for production and advisory environments.

Data Scientist

Deloitte / Tel Aviv

2022 - Present

Enterprise AI, GenAI, healthcare analytics, and client-facing data science delivery.

  • Implemented NLP-based sensitive information masking for document workflows.
  • Architected and implemented an enterprise-scale Graph-RAG system for healthcare data processing.
  • Led clustering work over 1M+ patient records to optimize healthcare provider segmentation.
  • Delivered customer clustering and GenAI analyses for consumer goods and consulting teams.
PythonAWSGCPSparkNoSQLT-SQLTableauPowerBIDataikuNVIDIAGitLLMs

Data Scientist

Adopt-a-Contractor / Netanya

2020 - 2022

Production machine learning for marketplace quality, pricing, and operations.

  • Led machine learning projects from modeling through production release.
  • Built algorithms to detect fake requests and improve price prediction quality.
PythonMySQLElasticSearchLinuxAWSGit

Data Scientist

PowToon / Tel Aviv

2020

Time-series anomaly detection and KPI history mapping for SaaS analytics.

  • Detected anomalies using time-series methods and tested robustness in Python and AWS environments.
  • Retrieved BI warehouse data with SQL and built historical KPI behavior maps.
PythonSQLAWSPostgreSQLSnowflakeGit

Projects

Selected products and data systems

A mix of public products, consulting delivery, and machine learning systems across finance, healthcare, NLP, and AI automation.

View GitHub

Voice AI

Energy Leads Phone

Real-time phone conversation system for energy-sector lead routing and qualification.

PythonTwilioReal-timeAI

Fintech desktop app

ShekelSync

Personal finance desktop app for Israeli banks, credit cards, and portfolio tracking.

ElectronReactViteSQLiteFintech

GitHub contributions

Recent public contribution activity.

GitHub contributions graph

Project archive

Grouped by domain and delivery type.

Financial technology

Forecasting critical KPIs

Predicted bank KPI threshold crossings for proactive decision-making.

PythonTime SeriesForecasting

76% forecasting accuracy

Credit prediction

Machine learning model for creditworthiness based on bank account data.

RMachine LearningFinancial Analysis

85% accuracy, 76% recall

Healthcare and life sciences

RAG application

Retrieval-augmented generation for healthcare data exploration.

PythonRAGHealthcare Analytics

Improved decision speed

Healthcare provider profiling

Provider segmentation for improved drug accessibility.

PythonClusteringHealthcare

5% proposal rate improvement

Natural language processing

Confidential information masking

Automated sensitive information masking using AI models.

PythonHugging FaceNLP

92% accuracy, 50 docs/day

Product recommendation engine

Clustered Israeli products by nutritional value and price optimization.

PythonNLPClustering

95% segmentation accuracy, under 1s processing

Machine learning and AI

AI agent automation platform

Agent platform that identifies optimal tools for consultants handling complex tasks.

PythonLLMGenAIFastAPIDockerLangChain

82% user satisfaction, dramatic time reduction

Anomaly detection system

Real-time anomaly detection for SaaS KPI monitoring.

PythonTime SeriesML

Reduced downtime significantly

Tools

Technologies I use

A practical stack for data science, ML engineering, cloud deployment, analytics, and AI application development.

python
python
OpenAI
OpenAI
langchain
langchain
spark
spark
AWS
AWS
Google Cloud
Google Cloud
docker
docker
PostgresSQL
PostgresSQL
firebase
firebase
git
git
HTML
HTML
hugging face
hugging face
linux
linux
numpy
numpy
nvidia
nvidia
pandas
pandas
scikit learn
scikit learn
Selenium
Selenium
snowflake
snowflake
SQLAlchemy
SQLAlchemy

Education

Training and certifications

A foundation in applied mathematics and computer science, strengthened by hands-on cloud and machine learning certifications.

Data Science Program

Israel Tech Challenge

2019 - 2020

Full-time program built with leading technology companies to train STEM graduates as professional data scientists.

Machine LearningDeep LearningNLPComputer VisionResearchTeamwork

Master's Degree in Applied Mathematics & Computer Science

ESILV

2013 - 2018

Applied mathematics and computer science curriculum with banking, risk management, FinTech, and data science focus.

BankingHigh-frequency TradingRisk ManagementFinTechData ScienceSupervised Learning

Life

Languages and interests

A multilingual background and a mix of writing, community, sport, and continuous learning outside the core work.

French

Native

Mother tongue

English

Native

Bilingual proficiency

Hebrew

Professional

Professional working proficiency

Outside work

Technical writingReadingVolunteeringSoccerStrategic gamingSurfingCrossFit