Freelancers using Matplotlib in Lagos
Freelancers using Matplotlib in Lagos
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Yusuf Adetona
Lagos, Nigeria
Professional Accountant | Bookkeeping, Financial Reporting
42
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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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Matplotlib
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Edward Eniang
Lagos, Nigeria
Data Scientist - AI/ML Engineer
New to Contra
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Data Scientist - AI/ML Engineer
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Algorithmic Trading with Python Project
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2
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Food Price Tracker & Forecasting Dashboard: A real-time food price monitoring system with predictive analytics and automated alerts.
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Hybrid machine learning models combine different types of algorithms to leverage their unique strengths, which results in improved predictive performance and robustness.
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Data Nerd
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9
Matplotlib
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Tserundede Ejueyitchie
Lagos, Nigeria
Data Analyst with 5+ years turning data into insights
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Data Analyst with 5+ years turning data into insights
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Sentiment Analysis of Hotel Reviews
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Data Cleaning with Python
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3
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Cardiovascular Disease Risk Prediction with Machine Learning
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Ahmad Tahir
Lagos, Nigeria
Insightful Data Analysis for Business Growth
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Insightful Data Analysis for Business Growth
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Artificial Intelligence Financial Market Prediction System
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3
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business performance analysis
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2
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Sales Dataset Analysis
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3
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Zacchaeus Olabode
Lagos, Nigeria
AI Web Developer | ML Automation & Business Analytics
New to Contra
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AI Web Developer | ML Automation & Business Analytics
1
Retail Inventory & Sales Forecasting Engine: This project involved building a predictive engine designed to solve the "stockout vs. overstock" issue. Using time-series analysis on past sales cycles, seasonality, and market trends, I created a model that predicts future inventory needs with high precision. It provides business owners with a clear "buying guide" for the upcoming quarter. Key Result: Reduced potential waste from overstocking while ensuring top-selling items never go out of stock, optimizing cash flow management.
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Customer Churn Prediction & Retention Analytics: Helps subscription-based businesses lower their attrition rates, I developed a "Churn Warning System." The model analyzes user engagement signals to flag customers who are showing signs of leaving before they actually cancel. This gives the business a proactive window to reach out with retention offers and save the account. Key Result: Identified the top 3 drivers of customer loss, allowing for data-driven retention strategies that protect long-term revenue.
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Automated Data Extraction & Invoice Processing Built a custom automation pipeline to eliminate the "manual data entry" bottleneck in accounts payable. Using OCR (Optical Character Recognition) technology, the system "reads" scanned invoices and PDFs, extracts key financial data, and formats it into a structured database or Excel sheet automatically. Key Result: Replaced hours of manual typing with a 95% faster automated process, virtually eliminating human entry errors.
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Automated lead scoring : Developed an intelligent lead-ranking system that automatically identifies high-value prospects for sales teams. By analyzing historical conversion data, the model assigns a "score" to every new inquiry. This allows businesses to stop wasting time on "window shoppers" and focus their energy on the leads most likely to close. Key Result: Streamlinimg the sales funnel by prioritizing high-intent leads, leading to a increase in conversion efficiency.
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35
Matplotlib
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Dev Femi Badmus
Lagos, Nigeria
FullStack Developer | Backend & Cloud Security
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FullStack Developer | Backend & Cloud Security
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GitHub - devfemibadmus/dufil.com: Python script to calculate st…
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Complete tasks by submitting images. Prizes, failed, pending, a…
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Car Wash Simple API Running on Google Cloud Functions
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3
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daniel habayomi
Lagos, Nigeria
Building Business Solutions with Design & Data
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Building Business Solutions with Design & Data
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Gasoline-Time-Series-Analysis
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3
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Danielhabayomi/BPD-Crime-Rate-Forecast
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Creative Logo Design for Waste Removal Business
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5
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Favour Orifa
Lagos, Nigeria
Machine learning engineer building intelligent models
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Machine learning engineer building intelligent models
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space x flight prediction
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A RAG chatbot based on the school's prospectus that assists university students with their questions
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Detection of Gi diseases
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Thyroid recurrence prediction
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Matplotlib
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