Freelancers using Matplotlib
Freelancers using Matplotlib
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Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
248
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Go to sleep, may your sweet dreams come true...
36
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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1.7K
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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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1.1K
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Visual Analysis of Sales Data (Data Visualization with the Matplotlib Library)
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298
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Customer Segmentation Analysis (RFM) — Online Retail
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278
Matplotlib
(9)
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Rohit P.
India
Data Scientist, Python, ML Engineer & AI Developer
5.0
Rating
5
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Data Scientist, Python, ML Engineer & AI Developer
0
Disease Prediction Model | Machine Learning
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22
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Stock Price Visualization and Entry-Points | Machine Learning
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13
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CIFAR-10 CNN Classifier | Deeplearning
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8
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Iris-Flower Classification | Machine Learning
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10
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
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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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
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Skin Lesion Detection Using Convolutional Neural Networks – ISI…
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9
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Comprehensive Stock Analysis and Prediction Using LSTM: A Case …
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6
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Visualizing and Predicting California Housing Prices: A Linear …
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74
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(3)
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Nathanael Mbale
pro
New Jersey, USA
Connecting code with intelligence
1x
Hired
26
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Connecting code with intelligence
0
Book Recommendation Engine with K-Nearest Neighbors
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5
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Healthcare Cost Prediction Using Neural Networks
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2
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Chess AI Development with Alpha-Beta Pruning
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1
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Cat vs Dog Image Classification using CNN
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2
Matplotlib
(2)
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Manideep racharla
Overland, USA
Data Analyst turning Data insights into business impact.
5.0
Rating
2
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Data Analyst turning Data insights into business impact.
0
Predictive Analysis of Airline Delays Using Machine Learning
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2
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Parking Lot Utilization Analysis Dashboard
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21
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Optimizing Home Delivery in Small Grocery Stores
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3
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Stock Price and Trading Indicators Analysis
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0
Matplotlib
(1)
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Yusuf Adetona
Lagos, Nigeria
Professional Accountant | Bookkeeping, Financial Reporting
36
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Professional Accountant | Bookkeeping, Financial Reporting
1
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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84
Matplotlib
(1)
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Molka B
Tunis, Tunisia
AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
New to Contra
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AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
0
AI Bias Detection & Mitigation Tool for Hiring Models My role: AI/ML Engineer & Fairness Auditor Project description: AI Bias Detection and Mitigation Framework for Recruitment Systems. Built a complete, production-ready tool that: Detects gender, race, and age bias in hiring ML models Uses industry-standard fairness metrics (Disparate Impact, Demographic Parity, Equal Opportunity) Applies Reweighing mitigation (AIF360) → improves fairness while keeping accuracy loss < 2% Includes interactive Gradio demo for live testing Full business impact section + compliance notes (EEOC 4/5th rule, GDPR, EU AI Act)
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AI Bias & Fairness Audit – Retail Object Detection Model My role: AI Bias & Fairness Auditor | ML Risk & Compliance Analyst Project description: Conducted a full AI Bias & Fairness audit on a retail object detection model using demographic evaluation (gender-based analysis). Measured Disparate Impact, Statistical Parity, Equal Opportunity Difference, and performed statistical significance testing (Chi-Square). Identified category-specific bias and business risk impact. Implemented mitigation via threshold calibration and reweighting. Delivered a professional compliance-ready report with risk matrix and mitigation roadmap.
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AI-Powered QA Automation Suite My role: Senior QA Automation Engineer (Lead) Project description: AI-Powered QA Test Case Generator & Execution Dashboard is a comprehensive, enterprise-level quality assurance solution designed to bridge the gap between AI-driven test generation and robust execution reporting. The suite provides a full-cycle automation workflow: from creating test cases using GPT-4 from natural language user stories to executing them across API and UI layers, finishing with high-impact business metric analysis.
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AI Bias Audit - Object Detection Model (Retail Analytics) My role :AI Bias & Fairness Specialist / ML Model Auditor Project description: Conducted a comprehensive fairness audit of an object detection model (YOLOv8-Large) for retail analytics, identifying gender, skin tone, and age biases. Delivered actionable mitigation recommendations including data rebalancing, adversarial debiasing, and post-processing calibration. Provided Python-based metrics, visualizations, and a detailed report to ensure ethical, reliable, and regulation-compliant AI
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18
Matplotlib
(1)
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