Freelancers using Dash Plotly in Thessaloniki
Freelancers using Dash Plotly in Thessaloniki
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Ari Harrison
PRO
San Francisco, USA
AI & ML Engineer
$1k+
Earned
7x
Hired
16
Followers
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AI & ML Engineer
1
Luxury Furniture 3D Visualization App
1
12
0
Tesla Stock Price Dashboard
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31
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Auto Sales Revenue Forecast Dashboard
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AI Groceries An AI-powered online grocery delivery platform built with Next.js 15, React 19, Supabase, Claude API, and Stripe. Designed around "The Harvest Table" philosophy -- abundant, warm, and grounded in real food provenance.
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55
Dash Plotly
(3)
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Mohsen M
Italy
AI Chatbot Developer | Data Scientist | ML Engineer
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AI Chatbot Developer | Data Scientist | ML Engineer
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Incident Response Fairness Analysis
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15
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Machine Learning for Bone Tumor Diagnostics
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9
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Electricity Consumption Prediction for Malmi Office Building
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9
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(3)
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Eduardo Sierra
Tegucigalpa, Honduras
UI/UX Designer & Researcher | Market Research Background
18
Followers
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UI/UX Designer & Researcher | Market Research Background
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Data Analysis and Data Visualization
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6
3
This week, I had the opportunity to create UI components for a project management startup
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This is a running app concept that I've been designing on Figma
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102
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I designed a tiered pricing for a survey management platform. As well as the CTA buttons
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123
Dash Plotly
(1)
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IRENE MAINA
Nairobi, Kenya
Data Analyst provided data driven decisions to stakeholders.
22
Followers
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Data Analyst provided data driven decisions to stakeholders.
0
House Price Analysis for Value Improvement
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2
1
Tanzanian Water Well Data Analysis Project
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2
0
https://github.com/Brene-m/AWS_Restatrt
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27
1
Call Volume Prediction Model for Mtoto News
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0
Dash Plotly
(2)
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Syed Fatik Islam
Gujrat, Pakistan
Data Scientist delivering insights through analytics and ML
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Data Scientist delivering insights through analytics and ML
0
Chat Data Analysis and Sales Insights Platform
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7
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Instagram Chat Analysis
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13
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Sales Analysis of a Clothing Retail Shop
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13
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(1)
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Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
New to Contra
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I’m an AI & Machine Learning engineer with expertise in deve
0
CricVision AI - Advanced Cricket Analytics Dashboard! CricVision AI is an intelligent cricket analytics platform that leverages machine learning to provide real-time match predictions and comprehensive player insights. The dashboard predicts wicket probability, expected runs per ball, and boundary likelihood using three trained ML models with StandardScaler normalization. It features interactive match scenarios (Powerplay, Middle, and Death overs), over-by-over projections, win probability calculations, and economy rate forecasts. Users can compare players head-to-head, analyze form trends over recent innings, visualize run distribution through wagon wheels, and get AI confidence scores for all predictions - making it a complete solution for cricket enthusiasts and analysts.
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I created WealthWise Agent, a smart personal finance planner designed to craft personalized budget plans and investment strategies. This app takes into account user inputs like salary, expenses, and financial goals, and then uses a Large Language Model (Gemini) to analyze these factors based on the 50/30/20 budgeting rule. It offers a clear step-by-step reasoning log, a detailed JSON-structured financial plan, and an interactive visualization of budget allocation, empowering users to make informed choices to reach their financial goals. 💻 Tech Stack Used: Frontend/UI: Gradio (custom themed with CSS, Orbitron font) AI/Logic: Google Gemini (gemini-1.5-flash) with LangChain agents Data: yFinance API for real-time stock/ETF data, Pandas & NumPy for calculations Visualization: Plotly Express for interactive charts
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SLM vs LLM for startups SLMs (1B–3B parameters) are becoming a kind of cheat code for startups: they can be run with a single GPU or even a powerful CPU, data can remain on your own infrastructure, and you still get almost LLM quality for very targeted tasks like support bots, internal search, or document workflows. In numerous benchmarks, contemporary SLMs are only a few F1 points behind bigger models while being up to 10–300x cheaper per request to serve. Huge language models (between 50 billion and 70 billion+ parameters) are still the preferred option when we talk about complex multi-step reasoning, long contexts, and highly open-ended generation. Nevertheless, the vast majority of startup scenarios do not need such models for every single request.
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I’m excited to share AuditFlow AI – AI-powered continuous auditing platform built specifically for Chartered Accountants and audit firms. CA's practices today are drowning in manual sampling, 40–60 hour audit cycles, talent shortages, and rising client pressure for faster delivery with lower fees. Most frauds and GST/TDS errors go undetected until the assessment stage because traditional methods check only 2–5% of transactions. AuditFlow AI changes that completely: upload any ledger/Excel/CSV and in under 10 seconds it scans 100% of transactions, flags duplicates, round-figure entries, weekend fraud, high-value anomalies, and vendor loops – with plain-English AI explanations for every red flag. Tech stack: Python, Flask, XGBoost, Isolation Forest, scikit-learn, Bootstrap 5, and trained on 5,000+ synthetic + real-world patterns
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31
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(2)
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AKHILESH YADAV
Kolkata, India
Data Science | Mathematics Tutor| AI Automations
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Data Science | Mathematics Tutor| AI Automations
1
Time Series Analysis on Chicago Taxi Trips
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1
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CineMatch-Engine: A High-Performance Movie Recommendation System
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1
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Real Estate Price Prediction and Recommendation System
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4
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(1)
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Khal Ben
Tangier, Morocco
AI Innovator: Data-Driven Solutions Expert
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AI Innovator: Data-Driven Solutions Expert
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FX Risk Assessment & Management Model
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13
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Facebook scraper
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9
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Power BI Dashboards
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8
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RAG_ChatBot
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3
Dash Plotly
(1)
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