Freelancers using Jupyter in Athens
Freelancers using Jupyter in Athens
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Runo Ekpruke
Houston, USA
Full Stack Developer | Project Manager | Executive Assistant
41
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Full Stack Developer | Project Manager | Executive Assistant
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Full Stack Approach
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AI & Full-Stack Developer | LLMs, Machine Learning
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I chose to create a cohesive visual experience combining Virtual Assistance, Tree Crown Detection and Segmentation Systems, and creative artistic storytelling. The goal was simple to build a short narrative across four key scenes that feels human, modern, and technically grounded. Each scene reflects how I blend automation, computer vision concepts, and creative direction into functional, visually compelling work. I do not just execute tasks. I design workflows and use AI as a creative partner to deliver impact. If you are looking for someone who can bridge AI, automation, and creative production, I would love to connect. #VirtualAssistant #AIContent #ComputerVision #CreativeAI #VideoAdCreation #AutomationSpecialist #MorphicAI #TechContent #AIWorkflow #ContraTalent:
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Funny how skills stack over time. My background as a Virtual Assistant still shows up daily, staying organized, thinking ahead, and executing cleanly. I bring that same mindset into my work at Kokorick, where we build with modern tools like LLMs and focus on strong systems. Grateful for the path. #StartupLife #VirtualAssistant #Operations #LLM #RemoteWork
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Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
New to Contra
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Power BI Expert | Turning Raw Data into Actionable Insights
1
Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz )
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I’m excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline. The Tech Stack: Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis. PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis. Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance. Project Highlights: ✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Venezuela’s Oil Reserves Analysis Dashboard 📊 I am excited to share my latest data analytics project focusing on the energy sector. Using a dataset covering 23 reservoirs, I designed a comprehensive dashboard to track production capacity and resource distribution in Venezuela. Key Features: ✅ Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. ✅ Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). ✅ Stakeholder Mapping: Visualizing the production sum by major operators. Tools Used: [pandas(jupyter notebook)/mysql(for analysis and cleaning of data), Power BI / Excel(for building dashboard)] I’d love to hear your thoughts or feedback on the dashboard design! must visit my github for full project -( https://lnkd.in/dYKdZ8J2 )
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Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales Medium-sized outlets outperform others in overall revenue FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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IRENE MAINA
Nairobi, Kenya
Data Analyst provided data driven decisions to stakeholders.
23
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Data Analyst provided data driven decisions to stakeholders.
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House Price Analysis for Value Improvement
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Tanzanian Water Well Data Analysis Project
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Call Volume Prediction Model for Mtoto News
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https://github.com/Brene-m/AWS_Restatrt
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28
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Faisal Ahmad Gifari
South Jakarta, Indonesia
Detail-oriented Virtual Assistant and Data Entry Specialist
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Detail-oriented Virtual Assistant and Data Entry Specialist
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Machine Learning Model for Water Quality Classification
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Sentiment Analysis Deployment for Restaurant Reviews
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Streaming Platform Recommendation System Development
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FIRAS TLILI
Gafsa, Tunisia
Full Stack Machine Learning Expert
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Full Stack Machine Learning Expert
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Auto-Labeling Images with Florence 2 and SAM
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AI-Generated Imagery with Hugging Face Diffusion Models
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AI-Generated Imagery with Hugging Face Diffusion Models
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Football Video Analysis System with YOLO, OpenCV, and Python
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Ikram Aissiou
Algiers, Algeria
Data Scientist
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Data Scientist
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Forecasting Solar Energy Production
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Arabic Manuscript Detection using Active learning
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Customer Retention and Predictive Analytics System
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Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
6
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40+ years programming experience including recent AI and ML.
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AI-Powered Fraud Detection Platform for Kaggle Contest
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Lots of projects in the works! Too many really. Opus 4.5 has jammed my design episodes into hyper mode. I'm glad I heard Andrew Ng talk about the exhaustion after a day of working with agentic code helpers. That showed up months ago and I still didn't recognize. Now, having to hold so much in my mind at once while it is also growing at a recognizable pace is noticeably stressful. Here is my latest build, a useful agency for questions at high accuracy with 9 different agents available to work in tandem. Special thanks to my friend Enigma Specter who provided the original backend mechanisms. I salvaged his design with a nice web UI and added a web Researcher agent: https://guyzer.pythonanywhere.com/mrce/ You will need to register but it's just an email username and password, no verification loop yet. And you'll need an API key.
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Cyclical Adversarial Stepwise Improvement CASI: Live Demo We talk frequently about AI self-correction but few projects provide a robust architectural loop for it. CASI formalizes the process of non-linear refinement: The Generator proposes a solution or concept. The Critic applies structural pressure and targeted feedback. The system cycles automatically until Structural Coherence is reached. You can now test the CASI engine live and see how an autonomous refinement process delivers structurally superior output: Try the CASI web app here: https://guyzer.pythonanywhere.com/casi/
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Further investigations of the Biology Latent Space.
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Manideep racharla
Overland, USA
Data Analyst turning Data insights into business impact.
5.0
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2
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Data Analyst turning Data insights into business impact.
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Optimizing Home Delivery in Small Grocery Stores
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Parking Lot Utilization Analysis Dashboard
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Predictive Analysis of Airline Delays Using Machine Learning
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Stock Price and Trading Indicators Analysis
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