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Kokorick AI's avatar
Kokorick AI
Houston, USA
AI Agents | LLMs, Computer Vision & Full-Stack Dev
81
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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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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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)
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)
Hazem Khaled's avatar
Hazem Khaled
Giza, Egypt
Data Analyst & Computer Engineer | Power BI & SQL Expert
5.0
Rating
10
Followers
Data Analyst & Computer Engineer | Power BI & SQL Expert
Cover image for I’m glad to share that
I’m glad to share that I have successfully completed the Quantium Data Analytics Job Simulation on Forage! 📊 During this practical experience, I worked on end-to-end data analytics tasks including: 🔹 Data Cleaning & Preparation using Python. 🔹 Customer Segmentation & Purchasing Behavior Analysis to identify key drivers. 🔹 Statistical Testing (A/B testing) to evaluate trial store layout performance. 🔹 Data Visualization & Executive Commercial Reporting. Gained hands-on experience in translating raw data into actionable business recommendations!
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Cover image for Excited to share a new
Excited to share a new milestone! ​I’m thrilled to announce that I have successfully completed the AI & Machine Learning track at AMIT Learning (https://www.linkedin.com/company/amit-learning/) with a grade of 99%! ✨️ ​Throughout this journey, I’ve focused on bridging the gap between theoretical knowledge and real-world application, applying these concepts directly to hands-on projects like my current Traffic Congestion Analysis using Python, Pandas, and advanced data cleaning techniques. ​A big thank you to Maria Roshdy (https://www.linkedin.com/in/maria-roshdy-3b3000234/) and the entire team at AMIT Learning (https://www.linkedin.com/company/amit-learning/) for the valuable guidance and great learning experience. Looking forward to the next steps into predictive modeling and AI solutions! ​#ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) #MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) #DataScience (https://www.linkedin.com/search/results/all/?keywords=%23datascience&origin=HASH_TAG_FROM_FEED) #AMIT (https://www.linkedin.com/search/results/all/?keywords=%23amit&origin=HASH_TAG_FROM_FEED) #Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) #DataAnalytics (https://www.linkedin.com/search/results/all/?keywords=%23dataanalytics&origin=HASH_TAG_FROM_FEED)
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Cover image for OmniPulse Analytics Hub: A complete
OmniPulse Analytics Hub: A complete Business Intelligence solution transforming complex transactional and financial data into intuitive, decision-making executive dashboards.
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Cover image for This might be the project
This might be the project that took the most time and effort to bring to a final finish line, but the result is truly worth it. I am thrilled and excited to share with you OmniPulse Analytics Hub, an end-to-end Business Intelligence project I’ve been working on. The idea wasn't just about putting a few charts together; the real challenge was deep in the backend and setting up a solid data model: linking 18 tables, building a proper Star Schema, and writing custom DAX measures to deliver accurate, error-free KPIs. In this project, I focused on: • Professional data cleaning and preprocessing. • Table relationships and implementing Time-Intelligence using a dedicated DimDate table. • Developing advanced DAX measures to analyze sales trends, return rates, and inventory levels. • Designing a clean and intuitive user interface enabling management to read the numbers and make instant decisions. • Integrating a one-click Executive Summary providing a complete project overview, key metrics, and dashboard status for immediate decision-making. The dashboard features two main sections: 📌 Executive Overview (Comprehensive view of revenue, total sales, and overall performance rates) 📌 Category & Sales Breakdown (In-depth category analysis and low-stock tracking) The biggest takeaway from working on this project: A massive amount of disorganized data is worthless. The true art lies in turning a mess of numbers into a clear, actionable story. I'd love to hear your thoughts and welcome any feedback or suggestions! 👇 #PowerBI #DataAnalytics #BusinessIntelligence #PowerQuery #DAX #DashboardDesign #DataVisualization #DataModeling #Retail #DataScience
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Jupyter(1)