Lathika Kanakam’s Post

🎊🎊Excited to share my latest project! Successfully built a decision tree classifier to predict customer purchasing behavior using the Bank Marketing dataset. Uncovered valuable insights into customer preferences. #datascience #internship #prodigyinfotech #machinelearning #decisiontree #customeranalytics"

Hey everyone! I’m excited to share that I just finished a data analysis project on Walmart’s sales data during my internship at Brainwave Matrix Solutions. It was a great experience uncovering trends and insights that could really impact business strategies. Looking forward to sharing more with you all! #DataScience #Walmart #Analytics #Internship #MachineLearning #DataAnalysis

Excited to share my latest internship project on EDA and Retail Sales Data! Delving deep into the intricate patterns of consumer behavior and market trends, this project explores the power of exploratory data analysis (EDA) in deciphering retail sales data. From uncovering seasonal fluctuations to identifying top-selling products, this analysis offers valuable insights for optimizing business strategies and enhancing customer experiences. Stay tuned for the video presentation showcasing the journey from raw data to actionable insights! #DataAnalysis #RetailInsights #InternshipProject #oasisinfobyte #internship #Dataanalytics, #datascience, #campusabmassador

🎉Just wrapped up Task 2 of the InfoTech Internship, where I dove into the world of predictive Mall Customer Shopping. 🛍️💳 Ready to uncover the secrets hidden in your shopping cart? Let our model guide you! 📈. Let's dive into the world of smart shopping together! 🛒💡 #ShoppingInsights #SmartSpending #RetailTech

The project Customer Churn Prediction that I completed during my internship with Mentorness! This project aims to dive into the world of classification tasks and gain hands-on experience in data pre-processing and analysis, and machine learning model development. This presentation, shows the insights on the discontinuation of business with a company and the task to predict it accurately.

I am excited to share the Car Price Prediction System project that I developed during my internship at InternPe . This project leverages machine learning to provide accurate predictions for used car prices based on various factors such as the car's model, manufacturer, year of purchase, fuel type, and kilometers driven.

This was a part of my Machine Learning Internship with Mentorness where I had to build a system that could Forecast the sales of Furniture and here I'm attaching the presentation.

Excited to share my latest project from my internship at InternnCraft, "Coffee Shop Sales Analysis"! I've had the opportunity to delve deep into transactional data from a local coffee shop, analyzing sales trends and operational strategies to drive business growth. Project Highlights: Objective: Conducted detailed sales analysis to uncover patterns and trends influencing product profitability. Achievements: Identified top-selling products, analyzed store performance across locations, and provided strategic recommendations for increasing sales. Insights: Leveraged data visualization techniques to visualize sales trends and seasonal variations, guiding effective inventory management and marketing strategies. Recommendations: Proposed actionable steps for profit increase and loss mitigation strategies based on comprehensive data analysis. This project was a fantastic opportunity to apply data-driven insights in a real-world context, optimizing sales performance and customer satisfaction. I'm eager to continue leveraging my skills in data analysis and strategic planning to drive business success! #DataAnalysis #BusinessStrategy #CoffeeShop #SalesAnalysis #LinkedInProject #DataDrivenDecisions #Internncraft #DataScience

Sales Prediction using Advertising Data TheBlackPearls Internship Project: Description: This demo showcases my internship project at TheBlackPearls, where I developed a predictive model to forecast sales based on advertising spending. Explore how I utilized a variety of regression techniques, including Linear Regression, Decision Trees, and XGBoost, to understand the impact of different media channels on sales and optimize marketing strategies. Folder: sales-prediction Link: https://lnkd.in/drxtmAX9

Exciting insights from my recent internship project on ice cream sales analysis! 📊🍦 Here's a glimpse into what I discovered: ▪️Identified the top-selling ice cream products based on total sales count, providing valuable insights into customer preferences and demand trends. ▪️Explored the correlation between sales and various factors such as weather conditions, temperature, and day of the week, helping optimize stocking strategies and enhance customer satisfaction. ▪️Discovered key patterns and trends in sales data, enabling better forecasting of future sales and informed decision-making processes. I'm incredibly proud of the work I've accomplished during my internship, and I'm grateful for the support and mentorship I've received from SHAI For AI | شاي للذكاء الاصطناعي https://lnkd.in/diE_g7Cd #Internship #IceCreamSales #DataAnalysis #LearningAndGrowth