Open to opportunities

Ines Ouhichi

@inesouhichi

Message

Data Scientist and Software Developer building predictive models and scalable, interactive dashboards.

Tunisia

Message

What I'm looking for

I’m looking for a role where I can turn large, messy datasets into predictive insights, build production-ready APIs and dashboards, and collaborate with product teams to deliver measurable impact.

I’m a Data Scientist and Software Developer who enjoys turning complex data into predictive outcomes and usable products. I combine machine learning with software engineering to deliver end-to-end solutions—from data modeling to interactive user experiences.

In my recent role as a Junior Data Analyst at PerfAnalysis Consulting, I designed a PostgreSQL schema aggregating data from 4 heterogeneous providers and built a GraphQL API for cross-filtering and multi-dimensional comparisons. I also engineered composite performance indicators and delivered interactive Angular dashboards, taking insights from global KPIs down to individual match detail.

Previously, as a Data Scientist Intern at Philip Morris International, I performed feature engineering on a 602M-observation dataset using Snowflake and DBeaver, then built Python machine learning models to analyze battery degradation in IQOS ILUMA 4.0 devices. I’ve also built Logstash–Elasticsearch ingestion pipelines, Spring Boot microservices, and Angular dashboards, modeled seasonal patterns with SARIMA, and automated data extraction from Comtrade using VBA integrated with Talend ETL—building a strong foundation in scalable data engineering and analytics.

Experience

Work history, roles, and key accomplishments

Current

Junior Data Analyst

Current

PerfAnalysis Consulting

Feb 2025 - Present (1 year 4 months)

Designed a PostgreSQL schema aggregating data from four heterogeneous providers and built a GraphQL API for cross-filtering and multidimensional comparisons. Engineered composite performance indicators and delivered interactive Angular dashboards for drill-down from global KPIs to match-level detail.

PostgreSQL GraphQL Spring Boot Angular TypeScript Data Modeling Dashboarding Data Aggregation

Data Scientist Intern

Philip Morris International

Feb 2024 - Aug 2024 (6 months)

Performed feature engineering on a 602M-observation dataset in Snowflake and DBeaver to optimize data processing. Built Python machine learning models to analyze battery degradation in IQOS ILUMA 4.0 devices and created Power BI dashboards to support product optimization decisions.

Python Machine Learning Feature Engineering Snowflake DBeaver Power BI Data Processing

Data Analyst Intern

Vermeg Solutions

Feb 2023 - Jul 2023 (5 months)

Architected a Logstash–Elasticsearch pipeline for financial transaction ingestion and indexing. Delivered a Spring Boot microservice with Angular dashboards for real-time transaction visualization and forecasted seasonal patterns using SARIMA in Python.

Logstash Elasticsearch Spring Boot Angular Python SARIMA Microservices

Data Analyst Intern

E.P.S.M.C Data Analytics

Jun 2022 - Jul 2022 (1 month)

Automated the extraction of global trade data from Comtrade via VBA and integrated it with a Talend ETL workflow. Built Power BI visualizations and a Python Linear Regression model to forecast sales trends.

VBA Power BI Python Data Extraction Web Scraping ETL

Business Intelligence Intern

Wevioo

Jun 2021 - Aug 2021 (2 months)

Built a regional KPI dashboard tracking employee counts across Tunisia and France, surfacing candidate strengths and forecasting HR trends using machine learning models. Produced data-driven insights to support HR decision-making.

KPI Tracking Business Intelligence Machine Learning Python HR Analytics Forecasting Data Visualization KPIs