You will get impactful social banner (linkedin)
Rising Talent
Project details
You will get a LinkedIn banner (or other social media) that reflects your sector, your professionalism and your personality
Main Type
Social Media CarouselSocial Platform
Instagram, Facebook, YouTube, LinkedIn, Twitter, Reddit, Discord, Product HuntFile Format
JPG, PNGWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 0 | 2 | 2 |
Feed Template | - | - | - |
Source Files |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
2 reviews
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YA
Yunuen A.
Mar 24, 2025
Online sales
I’d work with him again, good communication, very professional, he did an excellent job. Great experience working with him him overall.
MH
Matthieu H.
Nov 30, 2024
Improve Rag Application
Good work and fast, I recommend
About Emmanuel
AI & Machine Learning - AI Agent | Amazon Web Services
100%
Job Success
Paris, France - 4:00 am local time
I have a scientific background with a focus on Physics & Chemistry (bachelor level), and Neurosciences (master level) before becoming a Python Developer and Data Scientist. Here are some projects I developed for my customers:
Created several custom ChatGPT chatbots to allow users to ask questions about customers' own documents (PDF, website, text, Excel).
- Used diffusion models like Stable Diffusion or DALL-E to create new images from text instructions or edit existing images (change background, add characters, etc.).
- Fine-tuned a deep learning model to classify comments automatically as positive or negative.
- Trained a deep learning model to transcribe handwritten text into excel
- Gathered data from websites and generated graphs to display information relevant to the customers.
- Created web applications to allow customers to upload data, process it, and visualize it.
Technical Stack
Data gathering :
- scraping (beautifulsoup, selenium, scrapy, splash), use of tools facilitating scraping like zyte.com. Scraped sites: Google, Fnac, Cultura, Amazon etc.
- various API calls: google sheet, pipedrive, pubmed etc.
Data processing :
- reading files in different formats: json, csv, text, excel
- data cleaning and processing with pandas and numpy
- data storage in databases: mongoDB, DocumentDB, PostgreSQL
Data visualization
-Python visualization libraries: matplotlib, seaborn, plotly
- Dashboard generation with PowerBI (Microsoft) and QuickSight (AWS)
Data analysis, prediction and classification
- use of sklearn and statsmodels to analyze the data
- training of pre-trained deep-learning model with tensorflow and pytorch to do sentiment classification (NLP)
- use of chatgpt to do Question Answering with a vector database (FAISS, pinecone etc.)
Creation of containerized application (docker)
- creation of API with Flask, FastAPI
- application creation with streamlit and Flask, deployment on AWS (lambda, API gateway, S3, SQS)
CI/CD: gitlab, serverless framework
Steps for completing your project
After purchasing the project, send requirements so Emmanuel can start the project.
Delivery time starts when Emmanuel receives requirements from you.
Emmanuel works on your project following the steps below.
Revisions may occur after the delivery date.
generation of image