HDHanine DJEBBI
@haninedjebbi
Senior Research Analyst with expertise in data analysis and insights.
TurkeyWhat I'm looking for
I am a Senior Research Analyst with a strong background in data analysis and insights generation. My experience includes conducting comprehensive primary research and analyzing complex datasets using statistical tools like Python and Excel. At Devotel, I successfully identified key trends in the telecommunications industry, leading to the development of two new market entry strategies. My collaborative approach has improved project efficiency by 20% through cross-department alignment.
Previously, as a Data Integrity & Reporting Analyst at Simyagrup, I managed a database of over 15,000 records, ensuring 100% accuracy for marketing and sales initiatives. My efforts in lead verification and data consistency resulted in a more reliable sales pipeline and improved financial forecasting accuracy by 15%. I have also worked as a Data Scientist, where I utilized SQL to analyze large datasets, achieving significant reductions in processing time and data errors.
Experience
Work history, roles, and key accomplishments
Senior Research Analyst
DEVOTEL
Sep 2024 - Present (10 months)
Conducted comprehensive primary research using various online sources and industry reports, analyzing over 10 sources per project to deliver actionable insights. Analyzed complex datasets using statistical tools and software (e.g., Python, Excel), leading to improvement in data processing efficiency.
Data Integrity & Reporting Analyst
SIMYAGRUP
May 2024 - Present (1 year 2 months)
Managed and enhanced client data across multiple CRM tools, updating and maintaining a database of over 15,000 records to ensure 100% accuracy. Performed lead verification by researching on LinkedIn and other sources, validating over 250 leads per week and resolving 90% of data inconsistencies.
Data Scientist
ATI- TUNISIE INTERNET
Jun 2023 - Present (2 years 1 month)
Utilized SQL commands in Jupyter Notebook to analyze large datasets, resulting in a 75% reduction in processing time. Implemented data preparation techniques to clean and transform raw data, resulting in a 30% reduction in data errors.
Data Science Project Leader
ESPRIT
Jan 2022 - Present (3 years 6 months)
Preprocessed a dataset of 600 records by applying feature engineering techniques, including image labeling, normalization, and one-hot encoding. Automated users' contracts by implementing a wide range of data mining methods, such as KNN, Logistic Regression, and ANN.
Education
Degrees, certifications, and relevant coursework
ECOLE SUPERIEURE PRIVEE D’INGENIERIE ET DE TECHNOLOGIE (ESPRIT)
Engineer's degree, Computer Science, Major in Data Science
Completed an Engineer's degree with a major in Data Science. Gained expertise in various data science methodologies and tools.
Availability
Location
TurkeyAuthorized to work in
Job categories
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