Ashis Panda’s Post

🚀 Excited to share our latest research breakthrough in e-commerce customer feedback analysis! 📊 Our paper titled "Customer Feedback Analysis for E-Commerce Website with Machine Learning" co-authored with my esteemed partner Mr. Ravishan Welikumbura, has just been published! 🔍 In this study, we delved into the realm of sentiment analysis using machine learning techniques to dissect and categorize customer reviews into positive and negative sentiments. Our dataset, comprising 7920 samples sourced from Kaggle, underwent a robust preprocessing pipeline to ensure accurate analysis. 🎯 Our primary goals were crystal clear: 1. Understand Customer Sentiment 2. Enhance Customer Satisfaction 3. Facilitate Informed Business Decisions 💡 Leveraging Logistic Regression and Naive Bayes algorithms, we not only identified sentiments but also compared their efficacy in the e-commerce domain. The results were promising, showcasing the power of sentiment analysis in optimizing user experiences and driving commercial growth. 🌟 Our research underscores the pivotal role of sentiment analysis in augmenting e-commerce businesses' understanding of customer feedback. It's not just about numbers; it's about actionable insights that pave the way for enhanced customer satisfaction and sustained growth. 🚀 Excited to hear your thoughts and discussions on this groundbreaking research! Let's revolutionize the e-commerce landscape together. #MachineLearning #SentimentAnalysis #Ecommerce #CustomerFeedback #Research #DataScience

The Power of Linked Lists: A Grocery Shopping Analogy Let's explore the concept of Linked Lists—a fundamental data structure in computer science—through a relatable real-life scenario: grocery shopping! 🛒 **Linked Lists**: Just as a Linked List consists of nodes connected sequentially, imagine your shopping list as a Linked List where each item represents a node, and each node points to the next item you need to grab. 🍎 **Adding Items**: As you stroll through the grocery store aisles, you mentally add items to your shopping list. Each time you pick up a new item, you link it to the previous one, creating a chain of items to buy. 🍞 **Dynamic Updates**: Unlike arrays, Linked Lists offer flexibility. If you remember you need bread after you've already added milk and eggs to your list, no problem! You simply insert "bread" between "milk" and "eggs" by adjusting the links accordingly. 🥚 **Removing Items**: Completed your shopping for one item? Just unlink it from your list. If you've already grabbed the milk, you can remove it from your list without affecting the rest of your shopping plan. 🧺 **Efficiency in Motion**: Linked Lists shine in scenarios where frequent insertions and deletions occur, much like the dynamic nature of grocery shopping. They're a perfect fit for applications where data needs to be managed and updated on the fly. By visualizing Linked Lists through the lens of a routine grocery run, we demystify this essential data structure and highlight its practical applications in real-world scenarios. Whether you're a software engineer optimizing algorithms or a shopper streamlining your shopping trip, understanding Linked Lists empowers you to navigate your tasks with efficiency and precision. 🛍️💻 #DataStructures #LinkedLists #Algorithm #PracticalApplications #codinglife #apnacollege

Real-time data isn't just about getting information faster; it’s about transforming how businesses operate and make decisions. Consider traditional business intelligence: you make a decision, wait days or weeks to see the results, then adjust. It’s like trying to drive while only looking in the rearview mirror. Real-time data changes this completely. Platforms like Segment and Amplitude don’t just report what happened—they show what’s happening right now. Imagine the difference between knowing a customer left your site and being able to re-engage them in the moment, while they’re still thinking about your product. Here’s the key insight: the faster you can respond to customer behavior, the more likely you are to succeed. In our case, we use real-time data to optimize our opt-in and checkout experiences. With Segment and Amplitude, we track conversion rates and average cart value in real time, enabling rapid adjustments. If we’re spending $xxxK daily on ads for an offer and testing a new value stack, we can gauge its performance within hours rather than waiting days for Excel vlookups. Look at companies like Amazon. They don’t wait to analyze shopping patterns. Their recommendations update instantly as you browse, with every click, pause, and search reshaping your experience in real time. The companies that lead aren’t just collecting data—they’re acting on it immediately. Every interaction becomes an opportunity to improve, adjust, and optimize—in real time. What’s your best example of using real-time data to transform customer experience?

🚀 Excited to share my latest project on "Predicting Consumer Purchases from Website Engagement"! This work dives deep into the nuances of e-commerce consumer behavior, leveraging data analytics to forecast purchasing decisions. 📊 Employing Logistic Regression, Random Forest, and Gradient Boosting models, I uncovered what drives consumers to make a purchase. Extensive Exploratory Data Analysis revealed key predictors like page engagement and seasonal buying trends. Through hyperparameter tuning, I achieved a notable improvement in model performance, with Gradient Boosting showing a cross-validation score of 0.66. This project not only enhanced my skills in data science and machine learning but also offered valuable insights into optimizing e-commerce strategies through data-driven decisions. I'm eager to hear your thoughts on the approaches used and how predictive analytics can further transform the e-commerce landscape. Let's connect and discuss! #DataScience #MachineLearning #Ecommerce #Analytics #PredictiveModeling #LinkedInPresentation

🔍 Enhancing Customer Satisfaction & Market Dynamics with Data Science 🌟📊 Data science is reshaping e-commerce strategies! Explore how businesses analyse customer feedback, optimise pricing, and navigate market dynamics using data-driven insights. Embrace the power of data for sustainable growth: https://lnkd.in/dkrY4R5U. #DataScience #CustomerSatisfaction #MarketAnalysis #BusinessStrategy

Data science is revolutionizing e-commerce by enabling companies to identify and mitigate fraud risks more effectively, apply intelligent pricing models based on real-time market conditions, and enhance customer retention through targeted engagement strategies. With precise inventory forecasting and personalized shopping experiences, businesses are now able to meet demand while boosting operational efficiency. This data-driven approach empowers e-commerce platforms to stay competitive and responsive, meeting customer needs with a level of accuracy and personalization that was previously unimaginable. Learning data science has become essential in this data-driven world. Why wait to gain these impactful skills? Register with Datasmith Lab and start your journey in mastering data science today! ☎: +92 313 999 9488 🌐: www.datasmithlab.com 📩: contact@datasmithlab.com #DatasmithLab #EcommerceAnalytics #DataScience #CustomerExperience #MarketTrends #InventoryOptimization

Trying to understand customer data platforms (CDPs)?   Here's most important thing marketers need to know: If you need apples 🍎 you shouldn't be evaluating oranges 🍊   Don't get stuck with a platform that’s more confusion than solution. In our new "No-BS Guide to CDPs" we cut through the hyp to give you the truth: not all CDPs are created equal.   Don’t get caught investing in a platform that overpromises and under delivers. Get the facts before you make your move 👇 #CDPTruth #MarketingTech #CDPMyths #MarTechDebunked #Experiture #MarketingStrategy

Hey data enthusiasts! 💻✨ Ever wondered how Amazon seems to know exactly what you want to buy? It’s not magic—it’s data analytics at work! Dive into the world of predictive algorithms and find out how your shopping habits are shaping your next purchase. 🛒🔮 #dataispower  #dataanalytics #amazontips #predictiveanalytics #onlineshopping #datadriven #algorithms #retailtech #techinsights #personalshopper #datapower #ecommerce

🌟 Unlocking Customer Insights with Data Science in E-commerce 📊🛍️ In the competitive world of e-commerce, data science is the game-changer! Discover how data analytics personalises customer experiences, optimises pricing, and detects fraud to drive business growth. Dive into the transformative power of data science: https://lnkd.in/dkrY4R5U  #DataScience #Ecommerce #CustomerInsights #BusinessGrowth