Freelancers using Matplotlib
Freelancers using Matplotlib
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Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
264
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Go to sleep, may your sweet dreams come true...
18
Award season meets analytics — and it all comes to a head this Sunday, January 11, when the Golden Globes 2026 ceremony takes place in Los Angeles. To celebrate, I built a full-stack data project exploring the 2026 Golden Globes movie nominations, starting with a custom CSV dataset featuring: 🎬 Movie, Director, Genre, Nominations 🍅 Tomatometer, 🍿 Popcornmeter, Metascore Approval & User Score From there, I created: 📊 Python visualizations with Matplotlib & Seaborn 🍩 Power BI Donut Charts showing genre distribution and metascore approval This project combines technical depth with cultural relevance, showing how data can illuminate trends in film recognition and audience reception. Read my Article on Medium ➡️ Article (https://medium.com/@ciroduro01/golden-globes-2026-a-data-driven-look-at-the-movie-nominations-8df7a40e84b1)
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Celebrating Cinema Through Data: Diane Keaton at 80 Some projects go beyond numbers. To honor the 80th birthday of legendary actress Diane Keaton, I built a Python Notebook on Kaggle featuring a curated selection of 25 of her most iconic films. From Annie Hall to Something’s Gotta Give, the dataset highlights her impact across decades of cinema. This project is both a technical showcase and a cultural tribute, proof that data analysis can capture not only trends, but also the legacy of an artist. Read the full article here: Diane Keaton: 80th Birthday Tribute (https://medium.com/@ciroduro01/diane-keaton-80th-birthday-tribute-c2abaffb64d2)
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1.6K
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Customer Segmentation Analysis for Online Retail
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4
2
Home Value Prediction with Random Forest Model
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5
Matplotlib
(9)
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Rohit P.
India
Data Scientist, Python, ML Engineer & AI Developer
5.0
Rating
7
Followers
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Data Scientist, Python, ML Engineer & AI Developer
0
Iris-Flower Classification | Machine Learning
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10
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Hand Gesture Video Control | Computer Vision
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41
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CIFAR-10 CNN Classifier | Deeplearning
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12
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Stock Price Visualization and Entry-Points | Machine Learning
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16
Matplotlib
(5)
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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
0
Electricity Consumption Prediction for Malmi Office Building
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9
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Machine Learning for Bone Tumor Diagnostics
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11
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Incident Response Fairness Analysis
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16
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Matplotlib
(3)
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mayank
Delhi, India
Expert Data Visualization with Tableau & Matplotlib
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Expert Data Visualization with Tableau & Matplotlib
0
Skin Lesion Detection Using Convolutional Neural Networks – ISI…
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15
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Comprehensive Stock Analysis and Prediction Using LSTM: A Case …
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8
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Visualizing and Predicting California Housing Prices: A Linear …
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77
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(3)
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Istiak Ahmed Khan
Dhaka, Bangladesh
Power BI Data Analyst + ML AI Automation Expert
5.0
Rating
99
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Power BI Data Analyst + ML AI Automation Expert
3
Saving Lives through Early Clinical Risk Detection Application is live at: https://495a-35-237-151-197.ngrok-free.app The Problem: Heart failure is a leading cause of global mortality; the difference between survival and fatality often depends on how early a high-risk patient is identified. The Solution: I developed a clinical diagnostic tool that analyzes patient health markers to forecast mortality risk, assisting medical professionals in prioritizing life-saving care. Key Impacts: Early Intervention: The model identified that follow-up time is the single most critical factor in reducing fatalities, emphasizing the need for early diagnosis and consistent monitoring. Precision Diagnostics: By analyzing heart efficiency (ejection fraction) and chemical markers like serum creatinine, the tool provides a high-accuracy (84.49%) risk score for every patient. Clinical Support: The system helps doctors look past "statistical flukes" by accounting for outliers in medical data, ensuring that extreme clinical cases are caught rather than ignored. Actionable Health Insights: Demonstrated a clear link between age, heart efficiency, and chemical abundance, giving providers a data-driven framework to improve long-term patient outcomes
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The E-Commerce Orders Dashboard provides a comprehensive overview of order performance, revenue trends, and customer purchasing behavior. Designed for online businesses, this dashboard transforms transactional order data into actionable insights that support growth, operational efficiency, and strategic decision-making.
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1.2K
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Email Marketing Analytics Dashboard – UI/UX Design Struggling to track campaign performance across multiple channels? This dashboard is designed to give you a complete, real-time view of your marketing efforts in one clean and intuitive interface. A powerful, easy-to-use dashboard that helps you monitor email, SMS, social media, and push campaigns without the confusion of scattered data. Every key metric is presented clearly so you can make faster, smarter decisions. Key Capabilities: Track open rates, click rates, conversions, and revenue in real time, Compare performance across multiple marketing channels, Identify your top-performing campaigns instantly, Understand audience engagement with clear visual breakdowns, Spot trends and optimize campaigns quickly. Most businesses run campaigns but struggle to understand what’s actually working. This dashboard eliminates guesswork by turning your data into clear, actionable insights — helping you improve ROI and scale winning strategies. Perfect For: Digital marketers, E-commerce brands, Agencies managing multiple campaigns, Startups looking to optimize growth. If you want a high-converting, professional dashboard that not only looks great but drives real business decisions — I can help you build it.
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The Financial Performance Dashboard provides a comprehensive overview of an organization’s financial health by tracking revenue, expenses, profitability, and key financial indicators. Built using Power BI, this dashboard enables finance teams and decision-makers to monitor performance, identify trends, and make data-driven strategic decisions.
6
940
Matplotlib
(1)
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Nathanael Mbale
pro
New Jersey, USA
Connecting code with intelligence
1x
Hired
27
Followers
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Connecting code with intelligence
1
Book Recommendation Engine with K-Nearest Neighbors
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Healthcare Cost Prediction Using Neural Networks
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Pomodor Study Planner
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Chess AI Development with Alpha-Beta Pruning
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Matplotlib
(2)
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Bulbul Gupta
Indore, India
AI Chatbot Dev | Automate Support & IG DMs
38
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AI Chatbot Dev | Automate Support & IG DMs
0
Built a real-time object detection system using computer vision that can identify and track multiple objects in images and video streams. The system uses deep learning models to detect objects and draw bounding boxes with high accuracy. It processes frames in real-time and provides instant visual insights. 💡 This solution can be used in security systems, surveillance, traffic monitoring, and smart automation. 🔥 Key Highlights: • Real-time object detection • Bounding box visualization • Fast and accurate predictions ⚙️ Built using Python, OpenCV, and TensorFlow. DM me
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This project demonstrates an AI chatbot that responds instantly to user queries and automates customer conversations. It is designed to save time, improve response speed, and capture leads without manual effort. The chatbot can be customized for websites, Instagram DMs, and other platforms based on business needs. Perfect for businesses looking to automate customer support and increase conversions.
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AI Chatbot for Customer Support Automation This AI chatbot helps businesses automate customer queries and reduce response time by up to 60%. 🔹 Problem: Businesses often struggle with delayed responses, repetitive queries, and high support workload. 🔹 Solution: Developed an AI chatbot using NLP that can understand user intent and provide instant, accurate replies. 🔹 Key Features: • Handles common customer queries automatically • Basic intent recognition using NLP • Fast and real-time responses • Easy integration with web/mobile apps 🔹 Result: • Reduced response time • Improved customer experience • Lower support workload
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This AI video demonstrates how businesses can automate customer support using AI chatbots. It highlights the problem of slow responses and shows how AI can handle queries instantly, improving efficiency and customer experience. Ideal for businesses looking to scale support operations.
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200
Matplotlib
(1)
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Yusuf Adetona
Lagos, Nigeria
Professional Accountant | Bookkeeping, Financial Reporting
38
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Professional Accountant | Bookkeeping, Financial Reporting
2
1M+ Row Migration ROI: SQL Server to PostgreSQL I engineered a Python ETL pipeline to migrate legacy SQL Server data to PostgreSQL, prioritizing cost-efficiency and absolute integrity. The Problem: High licensing costs and a need for cloud-scalability without risking the "Source of Truth." The Outcomes: 🔹Savings: Projected 65% reduction in annual licensing fees 🔹Integrity: 1,055,008 rows reconciled with zero violations 🔹Audit: Flagged 24,000+ quality issues (negative prices, invalid emails) during the move The Impact: Shifted from reactive maintenance to proactive cloud-scaling on AWS/Azure with a cleaner, more reliable database. Why Me? As an Accountant & Data Engineer, I bring "ledger-style" reconciliation to architecture. I don’t just move data; I audit it. Open for Migration contracts. Let’s cut your costs.
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Created a professional investor pitch deck for a customizable bedding business. I combined clean design, structured storytelling, and financial insight to communicate the company’s mission, market opportunity, traction, business model, customer profiles, and financial KPIs. The deck includes premium slide layouts, branded color themes, clear charts, and subtle animations optimized for live presentations. Perfect for investor meetings, fundraising, and strategic presentations. Below is the full project link https://github.com/adetonayusuf/pitch-deck-for-a-start-up/tree/main #pitchdecks #powerpoint #presentation #anythingappchallenge #rivechallenge #contraeverywhere
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My latest build turns that chaos into a sleek, interactive Insurance Application Summary Dashboard built for speed, insight, and control. Traditional reports hide insights behind endless spreadsheets. This dashboard flips the script, it reveals the story instantly: Clarity isn’t cosmetic, it’s profit. Good reporting tells what happened. Creative reporting shows where to act next. By blending storytelling, interactivity, and business logic, this becomes a true decision engine for underwriting teams. If approvals still take 75 days, your reporting is the bottleneck. I build data products that turn chaos into profit-driving clarity. Now open to projects merging data strategy + design + visualization for faster, smarter decisions. 📊 Explore the vision. 💬 DM to discuss your toughest data challenge.
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Dynamic Financial Statements with Excel Cube Formulas I've released an analytics-engineering project demonstrating how to build fully customizable financial reports (I/S, B/S, C/F) using Excel Cube Formulas linked to a Power Pivot data model. Core Value: Provides finance teams with unrestricted report formatting (solving the Pivot Table layout problem) while ensuring data integrity through a DAX-powered model. The entire report is dynamic, automatically updating for year-to-year comparisons. Stack: Power Query, Power Pivot, DAX, Excel Cube Formulas. View the code and detailed explanation: [https://github.com/adetonayusuf/Financial_Statement_with_Cube_Formula] What's your favorite advanced Excel trick?
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107
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(1)
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