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Kokorick AI's avatar
Kokorick AI
Houston, USA
AI Agents | LLMs, Computer Vision & Full-Stack Dev
89
Followers
AI Agents | LLMs, Computer Vision & Full-Stack Dev
Cover image for Full Stack Approach
Full Stack Approach
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Cover image for AI & Full-Stack Developer | LLMs, Machine Learning
AI & Full-Stack Developer | LLMs, Machine Learning
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Cover image for 🚀 Most AI outreach tools
🚀 Most AI outreach tools stop at writing messages. Warmo.ai (http://Warmo.ai) actually helps you find prospects, personalize outreach, and start meaningful conversations—all from one platform. Whether you're a freelancer, agency owner, recruiter, or founder, it's built to save hours of manual work and help you book more meetings. 🔥 Best part? The first users can use it completely FREE. If you've been waiting for an AI tool that actually helps you grow your business instead of just generating text, now's the time to try it. 👉 Check out Warmo.ai (http://Warmo.ai) and claim your free access while it's available. #AI #Sales #LeadGeneration #Outreach #Freelancer #Agency #Startup #BusinessGrowth #Automation #Contra
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Cover image for AI-Powered Code Editor for Modern Developers
AI-Powered Code Editor for Modern Developers
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Jupyter(2)
Sarbjot Singh's avatar
Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
Power BI Expert | Turning Raw Data into Actionable Insights
Cover image for Data Analytics Project | BlinkIT
Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz )
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Cover image for I’m excited to share my
I’m excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline. The Tech Stack: Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis. PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis. Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance. Project Highlights: ✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Cover image for Venezuela’s Oil Reserves Analysis Dashboard
Venezuela’s Oil Reserves Analysis Dashboard 📊 I am excited to share my latest data analytics project focusing on the energy sector. Using a dataset covering 23 reservoirs, I designed a comprehensive dashboard to track production capacity and resource distribution in Venezuela. Key Features: ✅ Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. ✅ Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). ✅ Stakeholder Mapping: Visualizing the production sum by major operators. Tools Used: [pandas(jupyter notebook)/mysql(for analysis and cleaning of data), Power BI / Excel(for building dashboard)] I’d love to hear your thoughts or feedback on the dashboard design! must visit my github for full project -( https://lnkd.in/dYKdZ8J2 )
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Cover image for Data Analytics Project | BlinkIT
Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales Medium-sized outlets outperform others in overall revenue FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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Jupyter(4)
IRENE MAINA's avatar
IRENE MAINA
Nairobi, Kenya
Data Analyst provided data driven decisions to stakeholders.
24
Followers
Data Analyst provided data driven decisions to stakeholders.
Cover image for House Price Analysis for Value Improvement
House Price Analysis for Value Improvement
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Cover image for Tanzanian Water Well Data Analysis Project
Tanzanian Water Well Data Analysis Project
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Cover image for Call Volume Prediction Model for Mtoto News
Call Volume Prediction Model for Mtoto News
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Cover image for https://github.com/Brene-m/AWS_Restatrt
https://github.com/Brene-m/AWS_Restatrt
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81
Jupyter(3)
Faisal Ahmad Gifari's avatar
Faisal Ahmad Gifari
South Jakarta, Indonesia
Detail-oriented Virtual Assistant and Data Entry Specialist
Detail-oriented Virtual Assistant and Data Entry Specialist
Cover image for Machine Learning Model for Water Quality Classification
Machine Learning Model for Water Quality Classification
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6
Cover image for Sentiment Analysis Deployment for Restaurant Reviews
Sentiment Analysis Deployment for Restaurant Reviews
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Cover image for Streaming Platform Recommendation System Development
Streaming Platform Recommendation System Development
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Jupyter(3)
Shakeel Ur Rehman's avatar
Shakeel Ur Rehman
Faisalabad, Pakistan
AI/ML Engineer | Computer Vision | Agentic AI | OCR | YOLO
New to Contra
AI/ML Engineer | Computer Vision | Agentic AI | OCR | YOLO
Cover image for End-to-End Telco Customer Churn Prediction
End-to-End Telco Customer Churn Prediction System Developed and deployed a production-grade Machine Learning web application designed to predict telecom customer churn and identify key drivers of customer attrition. This project bridges the gap between data science research and real-world deployment by transforming a Jupyter Notebook workflow into an interactive, cloud-hosted web service. Key Technical Highlights & Workflow: Exploratory Data Analysis & Preprocessing: Conducted thorough EDA on customer behavioral data, handled missing values, encoded categorical features, and performed feature scaling to ensure robust model performance. Model Training & Hyperparameter Tuning: Trained multiple machine learning algorithms (including Random Forest, XGBoost, and Logistic Regression) and optimized hyperparameters to achieve high predictive accuracy and generalization. Model Explainability (SHAP): Integrated SHAP (SHapley Additive exPlanations) values to make complex model predictions transparent, helping stakeholders easily interpret feature impacts (such as tenure, monthly charges, and contract types) on individual predictions. Backend & API Architecture: Built a high-performance RESTful API using FastAPI to handle real-time inference requests seamlessly, coupled with a clean, responsive frontend user interface. Cloud Deployment & DevOps: Successfully packaged the application and trained model (.pkl), navigated serverless deployment constraints by leveraging container-based cloud infrastructure (Render), and ensured continuous availability. Tech Stack: Python, Scikit-Learn, XGBoost, Pandas, NumPy, FastAPI, Uvicorn, SHAP, HTML/CSS, Git, Render.
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Cover image for App Name: GigPulse Category: 📊 Dashboard
App Name: GigPulse Category: 📊 Dashboard + 🤝 Social/Community What it does: GigPulse is a personal freelance project tracker built for independent professionals who juggle multiple platforms. Freelancers can log their projects, track earnings per platform, monitor project status, and attach video demos of their work all in one private dashboard. The community benchmarking layer lets users see anonymized stats from other freelancers in their niche, so you always know how you stack up. How I built on top of the AI-generated base: Bubble AI generated the core dashboard structure and data architecture. From there, I manually engineered the video upload and playback system per project, built privacy-filtered data workflows so each user only sees their own data, added platform-specific earnings tracking with status badges, and designed a clean dark UI with collapsible video players. The AI gave me the skeleton, I built the muscles. This is the Bubble AI-generated base after my initial prompt 'Build a freelance analytics dashboard app called "GigPulse" where freelancers can track their gigs, proposals sent, earnings per platform, client response rates, and monthly revenue goals. Include a community benchmarking section where users can see anonymized stats from other freelancers in their niche. Add user authentication, a personal stats dashboard with charts, a goal-setting tracker, and a community feed where freelancers share weekly wins.' Everything you see in the final build beyond this point was manually engineered.
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Cover image for Sign Language Detection
Sign Language Detection
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Cover image for Intelligent Weapon Detection System For
Intelligent Weapon Detection System For Banks, Shopping Malls, Schools etc, that detect and generate alert to the security team
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Jupyter(1)
Manideep racharla's avatar
Manideep racharla
Overland, USA
Data Analyst turning Data insights into business impact.
5.0
Rating
2
Followers
Data Analyst turning Data insights into business impact.
Cover image for Optimizing Home Delivery in Small Grocery Stores
Optimizing Home Delivery in Small Grocery Stores
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Cover image for Parking Lot Utilization Analysis Dashboard
Parking Lot Utilization Analysis Dashboard
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Cover image for Predictive Analysis of Airline Delays Using Machine Learning
Predictive Analysis of Airline Delays Using Machine Learning
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Cover image for Stock Price and Trading Indicators Analysis
Stock Price and Trading Indicators Analysis
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Jupyter(1)