Adel Dahani work email
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Adel Dahani personal email
Hello, and welcome to my profile. If you’re reading this, it means your sales and customer support teams are likely struggling with overwhelming call volumes, and your operators are wasting time screening basic inquiries instead of focusing on qualified leads. For the last 4 years, I have been providing automations for business operations as a freelancer, an AI Engineer at IBM, and now at our agency AY. In that time I worked with huge clients such as L’Oreal, Nestle, and several luxury hotels in the UK, US, and Dubai.It became apparent to me that most large businesses were overwhelmed with complex call volumes and lead qualification, resulting in:1) sales teams screening calls when they should be selling2) customer support dealing with repetitive inquiries that can be automated3) significant revenue lost during peak hoursSo we started integrating AI voice agents that could: - Handle up to 10 concurrent calls (that's 1,000 calls per day!)- Automatically qualify leads before they reach your sales team- Integrate seamlessly with any existing CRM- Cut support costs down to < $0.10 cents per minuteHere’s what they have achieved for some of our clients:- Ramada by Wyndham: Sales team now focused purely on closing deals instead of screening calls, with AI handling 60-70% of initial inquiries- A1 Properties: Lead qualification time reduced from hours to minutes, with complete CRM integration for real-time lead tracking- Clinique des Champs Elysées: Reduced response times from hours to seconds, with zero missed inquiriesSo if you’re a sales director managing > 500 employees, you can book a free audit of your call handling process to see how you could increase conversion and revenue per call. Book your free session in my featured section.Our agency promises to implement AI voice agents so your human operators are selling to qualified leads, not screening calls.
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Co-FounderAy AutomateSan Francisco, Ca, Us -
Head Of Generative AiDiez Agency Mar 2024 - PresentUnited Arab Emirates- Define and implement the company's generative AI strategy, aligning it with business objectives and market trends.- Work with clients to understand their needs and challenges, and propose tailored generative AI solutions that drive business value.- Lead the design and development of generative AI products and services that can be offered to clients.- Drive R&D initiatives in generative AI, exploring new techniques and technologies to maintain a competitive edge. -
Ai EngineerIbm Feb 2023 - Apr 2024- Leveraged Azure's OpenAI capabilities, specifically GPT-4 32k, andharnessed the power of Generative AI in conjunction with advanced NLPtechniques. This fusion led to the development of a platform adept at documentcondensation and content origination, enabling the crafting of detailedsummaries from diverse input sources.- Streamlined raw data for optimal model interaction, conducted deep analysesusing Python on Azure Databricks, and managed the Generative AI (GenAI)output for seamless integration with SQL servers.- Designed and implemented time-series forecasting models for salespredictions. Established an MLOps pipeline encompassing feature storerefresh, data validation, model training, evaluation, and inference.- Developed an automated dashboard for a retail sales forecasting model in thecoffee capsule industry, improving sales forecasting accuracy and efficiency.- Utilized Microsoft Azure and Databricks as cloud and data processing tools forenhancing project outcomes and deploying models. -
Generative Ai ConsultantL'Oréal Oct 2023 - Mar 2024Paris, Île-De-France, FranceConsulting Company: IBMClient: Global Beauty & Cosmetics Brand - L'OrealTechnical Expertise: Vertex AI, Google Cloud Platform (GCP), Machine Learning, Time Series Forecasting, LSTM (Long Short-Term Memory), Large Language Models (LLMs), Generative AIRole Summary:Responsible for implementing of an advanced forecasting model designed to analyze large sales datasets, incorporating external factors for accurate future trend predictions. Utilizes a deep learning approach, leveraging LSTM networks and LLMs, to ensure precision in forecasting. The role encompasses the creation of a comprehensive pipeline that integrates these technologies using Vertex AI on the Google Cloud Platform environment, facilitating efficient data processing and enabling the client to make informed decisions based on predictive insights. -
Generative Ai ConsultantGsk Aug 2023 - Mar 2024London Area, United KingdomConsulting Company: IBMClient: Large pharmaceutical company - GSKTechnical Expertise: Azure Databricks, Microsoft Azure, Azure Openai, AutoGen, Generative AI, Machine learningRole Summary:Focused on the development of an AI-centric platform, our project aimed toexcel in tasks like document condensation and content origination. By tappinginto the capabilities of Azure's OpenAI offerings, notably GPT-4 32k, andblending it with cutting-edge Natural Language Processing (NLP) techniques,we achieved the ability to craft comprehensive summaries from a myriad ofinput documents.Contribution: - Streamlining and configuring raw data for seamless modelintegration.- Orchestrating data frameworks and conducting in-depth analyses usingPython within Azure Databricks.- Pioneering in prompt creation, experimenting with diverse techniques such aszero-shot, enhanced zero-shot, few-shot, and enhanced few-shot within theAzure OpenAI ecosystem.- Managing the GenAI output and ensuring its seamless integration with SQLservers.- Collaborating intensively with software teams to optimize the project'siterations.- Ensuring the outcomes resonated with the envisioned user specifications. -
Generative Ai ConsultantErgo Group Ag Aug 2023 - Nov 2023GermanyConsulting Company: IBMMy key responsibility was to develop a clustering solution for some insurance documents. This involved the innovative use of Azure OpenAI's Embedding and GPT-4 technologies, combined with advanced clustering algorithms, to improve the accuracy and efficiency of document categorization. -
Data ScientistNestlé Feb 2023 - Jul 2023New York, United StatesConsulting Company: IBMThe project focused on improving the sales forecasting process for NespressoUSA's coffee capsules. An automated dashboard was introduced to enhancethe efficiency and precision of sales predictions. Central to this initiative was theestablishment of an MLOps pipeline tailored for capsules sales forecasting.This pipeline integrated various stages, from features refresh in the Databricksfeature store to data validation, model training, evaluation, and inference. Toensure optimal performance and seamless deployment, tools from Azure andDatabricks were employed.Contribution: - Devised an automated dashboard for coffee capsules salesforecasting model for Nespresso USA, enhancing sales forecasting efficiencyand precision.- Created an MLOps pipeline for sales forecasting for Nespresso USA,incorporating features refresh in Databricks feature store, data validation, modeltraining, evaluation, and inference.- Leveraged Azure and Databricks tools for project improvements and modelsdeployment. -
Ai EngineerFreelance Jun 2020 - Feb 2023- Working on Machine learning, computer vision and NLP problems.- Deployment solutions for AI models, by creating APIs and deploy them on AWS as an EC2 instance or lambda function.- Automated solutions for Data collection.- Applied AI for algorithmic trading.- Managing and deal with long term projects.- I've worked on more than 50 projects from multiple clients around the glob.
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Ml EngineerInnsightful Jun 2022 - Aug 2022Sunnyvale, California, United StatesEvaluate and implement a mental health assistant using Gen AI (GPT-3)
Adel Dahani Education Details
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Artificial Intelligence -
Mathematics -
Gpge Ibn Tahir ErrachidiaMpsi
Frequently Asked Questions about Adel Dahani
What company does Adel Dahani work for?
Adel Dahani works for Ay Automate
What is Adel Dahani's role at the current company?
Adel Dahani's current role is Co-Founder.
What is Adel Dahani's email address?
Adel Dahani's email address is ad****@****ate.com
What schools did Adel Dahani attend?
Adel Dahani attended Ecole Nationale Supérieure D'informatique Et D'analyse Des Systèmes - Ensias, Cpge Moulay Youssef, Gpge Ibn Tahir Errachidia.
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