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Ciro 's avatar
Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
257
Followers
Go to sleep, may your sweet dreams come true...
Cover image for Customer Segmentation Analysis for Online Retail
Customer Segmentation Analysis for Online Retail
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3
Cover image for Popular Videogames Analysis: From Flat Data to Relational In...
Popular Videogames Analysis: From Flat Data to Relational Insights
1
390
Cover image for Sentiment Analysis of Movie Reviews
Sentiment Analysis of Movie Reviews
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338
Cover image for Home Value Prediction (Regression)
Home Value Prediction (Regression)
3
340
Matplotlib(9)
Rohit P.'s avatar
Rohit P.
India
Data Scientist, Python, ML Engineer & AI Developer
5.0
Rating
7
Followers
Data Scientist, Python, ML Engineer & AI Developer
Cover image for Disease Prediction Model | Machine Learning
Disease Prediction Model | Machine Learning
1
23
Cover image for Stock Price Visualization and Entry-Points | Machine Learning
Stock Price Visualization and Entry-Points | Machine Learning
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13
Cover image for CIFAR-10 CNN Classifier | Deeplearning
CIFAR-10 CNN Classifier | Deeplearning
1
8
Cover image for Iris-Flower Classification | Machine Learning
Iris-Flower Classification | Machine Learning
0
10
Matplotlib(5)
Mohsen M's avatar
Mohsen M
Italy
AI Chatbot Developer | Data Scientist | ML Engineer
AI Chatbot Developer | Data Scientist | ML Engineer
Cover image for Incident Response Fairness Analysis
Incident Response Fairness Analysis
0
15
Cover image for Machine Learning for Bone Tumor Diagnostics
Machine Learning for Bone Tumor Diagnostics
0
9
Cover image for Electricity Consumption Prediction for Malmi Office Building
Electricity Consumption Prediction for Malmi Office Building
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9
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Matplotlib(3)
Bulbul Gupta 's avatar
Bulbul Gupta
Indore, India
AI Chatbot Dev | Automate Support & IG DMs
30
Followers
AI Chatbot Dev | Automate Support & IG DMs
Cover image for Built a real-time object detection
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
0
64
Cover image for This project demonstrates an AI
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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24
Cover image for AI Chatbot for Customer Support
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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184
Cover image for This AI video demonstrates how
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.
1
166
Matplotlib(1)
Istiak Ahmed Khan's avatar
Istiak Ahmed Khan
Dhaka, Bangladesh
ML AI Automation Expert + Data Analyst
50
Followers
ML AI Automation Expert + Data Analyst
Cover image for Saving Lives through Early Clinical
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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460
Cover image for Email Marketing Analytics Dashboard –
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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543
Cover image for CarePoint Medical Dashboard The CarePoint
CarePoint Medical Dashboard The CarePoint Medical Dashboard is a modern, user-friendly healthcare interface designed to streamline patient management and hospital operations. The UI focuses on clarity, accessibility, and real-time data visibility for medical professionals. The dashboard features a clean layout with intuitive navigation, allowing users to quickly access key modules such as patients, appointments, doctors, and reports. A soft green color palette enhances readability while aligning with healthcare aesthetics. Real-time KPI cards for patients, appointments, and revenue Patient status tracking with visual indicators (Critical, Stable, Moderate) Monthly admissions trend analysis Upcoming appointments and recent patient records Department-wise distribution insights The interface is designed for efficiency, reducing cognitive load through organized sections and clear visual hierarchy. Interactive elements and minimalistic design ensure smooth navigation and quick decision-making. This dashboard improves operational efficiency, enhances patient monitoring, and supports healthcare professionals in delivering timely and data-driven care.
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443
Cover image for Predictive Marketing Analytics: Optimizing Advertising
Predictive Marketing Analytics: Optimizing Advertising ROI 1. The Business Problem Companies often struggle to determine which marketing channels actually drive revenue. Without a data-driven approach, advertising budgets are often misallocated across platforms like TV, Radio, and Newspapers, leading to inefficient spending and missed sales targets. This project aimed to build a predictive model to quantify the relationship between multi-channel marketing spend and total sales. 2. Strategic Insights & Market Analysis Through a rigorous analysis of historical advertising data, I identified the specific drivers of revenue growth: Dominant Revenue Driver: TV advertising emerged as the most critical factor, showing a massive 0.9 correlation with sales. Efficiency Analysis: While Radio and Newspaper spending contributed to the marketing mix, their direct impact on sales was significantly lower (0.35 and 0.16 correlation, respectively), suggesting a need for budget reallocation. Predictive Power: My analysis revealed that 81.6% of the variance in sales can be explained by TV advertising spend alone, providing a highly reliable foundation for future budget forecasting. 3. Data-Driven Solution I developed a Linear Regression model to provide leadership with a mathematical framework for sales forecasting. Reliability: The model was validated using a 70/30 train-test split, ensuring it performs accurately on new, unseen market data. Accuracy: The system achieved a strong R-squared value of 0.79 on the test set, meaning it can accurately predict nearly 80% of sales fluctuations based on planned marketing spend. Error Management: I performed a detailed residual analysis to confirm that the model’s error terms were normally distributed, ensuring the reliability of the forecasted figures. 4. Business Impact Budget Optimization: Provided a clear mathematical equation (Sales=6.948+0.054×TV) that allows the marketing team to calculate the expected return on every dollar spent on TV advertising. Strategic Planning: Enabled the transition from "gut-feeling" marketing to precision budgeting, allowing the company to maximize ROI by prioritizing high-impact channels. Risk Mitigation: By identifying the variance that the model couldn't explain, I helped the business identify where external market factors might still influence sales, allowing for more conservative and realistic financial planning. Technical Stack Modeling: Simple Linear Regression, Statsmodels (OLS), Scikit-learn. Analytics: Python, Pandas, NumPy. Visualization: Seaborn, Matplotlib, 3D Scatter Plots
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456
Matplotlib(1)
Yusuf Adetona's avatar
Yusuf Adetona
Lagos, Nigeria
Professional Accountant | Bookkeeping, Financial Reporting
37
Followers
Professional Accountant | Bookkeeping, Financial Reporting
Cover image for 1M+ Row Migration ROI: SQL
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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Cover image for Created a professional investor pitch
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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Cover image for My latest build turns that chaos into a sleek, interactive I...
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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Cover image for Dynamic Financial Statements with Excel Cube Formulas I've r...
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(1)