leena omrani

Led the development and optimization of analytical tools to track data platform maturity and assess the performance of analytical products by defining and implementing key performance indicators (KPIs). Collaborated closely with the development team to design and build interactive PowerBI dashboards using complex datasets from BigQuery SQL, delivering actionable insights for key stakeholders.

Collaborated with internal teams to support their data requests and provide actionable insights into their activities through data analysis. Worked closely with stakeholders to understand business needs and identify both internal and external data sources essential for conducting thorough analyses.

Identified, developed, and secured potential business opportunities by generating leads, maintaining client relationships, and coordinating promotional posts. This role involved strategic marketing efforts to expand the company's reach and client base.

Filtered and analyzed data from archives using Excel to identify potential long-term partners. This involved analyzing over 500+ files to make decisions on which files to archive, ensuring efficient data organization.

Currently pursuing an MBA with a minor in data analysis, focusing on marketing and business development strategies. This program enhances my ability to leverage data for strategic decision-making and business growth.

Activities and societies: Conducted marketing analyses using datasets and statistical models (clustering, supervised and unsupervised prediction). Analyzed and understood economic challenges. Mastered Big Data platforms and cloud tools (GCP, Azure). Utilized quantitative tools for marketing and Big Data (Hadoop, Spark, Kafka).

Completed a Master's program focusing on innovation, markets, and data science. This involved conducting marketing analyses using datasets and statistical models, and mastering Big Data platforms and cloud tools.

Undertook a Master's program focused on innovation, enterprises, and societies. This foundational year provided a comprehensive understanding of economic challenges and the role of data in modern business environments.

Activities and societies: Advanced data analysis, including data cleaning, transformation, and visualization using tools such as Python (Pandas, NumPy), SQL, and Tableau. Customer relationship management (CRM) and optimization of marketing campaigns using HubSpot and Google Analytics.

Completed an intensive Data Analyst Bootcamp, gaining advanced skills in data analysis, including cleaning, transformation, and visualization. Proficiently used tools such as Python, SQL, and Tableau for data-driven insights.