Finance Meets Data
Finance Meets Data
β‘ Finance and Analytics x IEEE - ULFSII β‘
We’re thrilled to announce our upcoming workshop series: Finance meets Data.
Join us to discover where finance meets the power of analytics, led by Elie Dina, PhD student in AI & Data Science!
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Dates: Thursday, 8 May 2025
Saturday, 10 May 2025
π’ Time: 7:30 PM (GMT+3:00)
π Location: Online – Google meet Link sent via Mail after Registration
β¨ What to Expect:
- Explore data types
- Learn cleaning & pre-processing techniques
- Visualize market trends and choose the right graphs
- Perform hands-on stock analysis using Python
Let's shape the future of finance together! ππ«΅π»
#Stay_Sharp_Stay_Cool #IEEEULFSII
Date and Time
Location
Hosts
Registration
- Date: 08 May 2025
- Time: 04:30 PM UTC to 06:00 PM UTC
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Add Event to Calendar
- Contact Event Hosts
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Instagram: @finance_analytics_club
Email: joseph.am-makhlouf@ieee.org
- Co-sponsored by Finance and Analytics
Speakers
Mr Elie Dina
Finance Meets Data
Biography:
Mr. Elie Dina is a researcher in the field of Natural Language Processing (NLP), with a focus on Emotion Recognition and Explainable models. His expertise encompasses a wide array of skills and accomplishments, including the adept utilization of statistical methodologies and machine learning techniques to dissect and model datasets of varying sizes, from modest to extensive scales. He graduated with Data Science Bachelor from the Lebanese University, Natural Language Processing M.Sc from the University of Lorraine, and he's undergoing his PhD currently with the university of Artois within the company Happiso. He has successfully navigated the intricacies of deploying machine learning models within production environments, demonstrating a keen proficiency in implementing these solutions effectively.
With a versatile background, Mr. Dina has ventured into diverse industries, leaving an indelible mark in sectors such as environmental studies, e-commerce, and finance. His toolset includes mastery in programming languages like Python and R, coupled with a deep understanding of pivotal machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. Beyond technical prowess, Mr. Dina excels in communication, effortlessly conveying complex technical concepts to non-technical stakeholders and delivering data-driven insights with precision to decision-makers.
Email:
Address:France