Alpha Beta Core’s Post

"🎓📊 After months of diving deep into the world of data, I'm thrilled to announce the successful completion of my Data Science internship! 🙌📈 From wrangling messy datasets to crafting predictive models, this journey has been a rewarding blend of challenges and growth. 💡💻 I want to thank Prodigy InfoTech for their guidance and support throughout this internship. 🙏 This experience has sharpened my analytical skills and provided me with valuable insights into the real-world applications of data science. 🌐 As I close this chapter, I'm excited to take the lessons learned and apply them to my future endeavors in data science. 🚀📚

During the third week of the internship with TheData Initiative(TDI), I engaged in tasks focusing on the transformation of various data types. Special thanks to Anne Nnamani.

Completed a 1 month internship in the domain of 'Data Science ' at AD Infocom Systems.

Delighted to share my latest project in CodersCave internship! 📊💼 🔍 Dive deep into comprehending consumer behavior through the analysis of transaction databases to uncover insightful information. 💡💳 🎥 Watch this brief video to receive an overview of the exciting field of consumer behavior analysis and how it may influence decision-making and business growth. 

"Successfully completed my fifth task in the internship! 🎉 Excited to share the details and discuss the next steps." #prodigyinfotech Task_05: Analyze traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualize accident hotspots and contributing factors.Repository. Data_set:  https://lnkd.in/dxMjTMyF: Steps: 1.Data Loading and Cleaning. 2.File Size Information. 3.Time Series Analysis. 4.Linear Regression Analysis. 5.Monthly, Hourly, Severity Analysis. 6.Pie Chart: Plot a pie chart for the distribution of severity levels. 7.City-wise Analysis. 8.State-wise Analysis ( based on Severity). View on Github: https://lnkd.in/dJdRm8qU View on Kaggle: https://lnkd.in/dXP9zfHR

Highlights of 4th week of internship at TheData Initiative(TDI) (TDI) related to data analysis. In this, we worked on measure and DAX. Here is my submission of week 4th project. Anne Nnamani

Hello connection, 🚀 Excited to share that I've successfully completed Task 2 of my machine learning internship at Prodigy InfoTech! Developed a K-means Clustering Algorithm to Group Retail Customers by Purchase History! In this project, I learned how to clean and prepare data for analysis, create meaningful features from raw data, and implement the K-means clustering algorithm to group customers based on their purchasing behavior.

Celebrating the Completion of an Enriching Journey of my Internship on "Mapping the Educational Landscape: A Comprehensive Data Analytics Study of Engineering Colleges in India"

Hello LinkedIn community! 🚀 Excited to share the highlights of my first MeriSKILL internship project in "SALES DATA ANALYSIS" 📊 Objective: Analyzing sales data to unearth trends, identify top-selling products, and establish key revenue metrics for informed business decision-making. Dashboard KPIs: - Total Sales - Sales Quantity - Total Profit Insights Derived: - Sales by Month: Visualizing the monthly trends to understand patterns and fluctuations. - Top 5 Cities by Sales: Unveiling the geographical hotspots driving our revenue. - Weekday Profit Analysis: Identifying profit variations across different days of the week. - Top 5 Best Selling Products: Recognizing the products that stand out in the market. - Top 5 Products by Sales: Highlighting the key contributors to overall sales success. It's been an incredible journey transforming raw data into actionable insights! 📈💡

🚦Successfully wrapped up a comprehensive Traffic Accident Data Analysis project as part of my Prodigy InfoTech internship! 🌐 Uncovered valuable insights on road conditions, weather impact, and hotspots. 🚗💡 #DataAnalysis #TrafficSafety #DataVisualization #Insights #ProdigyInfotech 📊