Suhani Kumari’s Post

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

🚀✨ Excited to share that I have completed a virtual internship with Quantium, where I had the incredible opportunity to dive deep into data analytics in the retail sector! 🛒📈 During this internship, I: 🔍 Analyzed customer purchasing behaviors for chips, identifying key segments that contribute to 70% of sales. 📊💰 🏬 Evaluated the impact of new store layouts, leading to recommendations that could potentially increase sales by 15%. 💡📈 📊 Developed data visualizations to effectively communicate insights to stakeholders, making data-driven decisions clearer and more impactful. 🎨📉 This experience has significantly enhanced my skills in data validation, visualization, and statistical testing. I’m looking forward to applying these insights in future projects! 🚀🌟 Check out my portfolio on GitHub to see some of the projects I worked on during my internship: https://lnkd.in/gycnMvka 🔗 #DataAnalytics #Internship #Quantium #Retail #DataScience #DataVisualization #CareerGrowth #LearningJourney

As part of my internship journey with Interny, I'm excited to share my progress and showcase the Task 1. In this task, I completed several steps to preprocess and analyze a dataset of retail sales. Firstly, I cleaned the data by removing missing values and outliers using pandas, ensuring that the dataset is ready for analysis. Then, I aggregated the sales data at a monthly frequency to observe sales trends over time. Additionally, I standardized product categories to group similar products together for better analysis. Finally, I visualized the sales trends using line plots and compared the sales performance across different product categories using bar plots. To summarize my progress, I shared a screen recorded video on LinkedIn showcasing each step of the task, providing a clear explanation of my approach and outcomes. By completing this task and sharing my process on LinkedIn, I aim to demonstrate my analytical skills and commitment to professional development. #interny

🚀 I'm excited to share my internship experience at #OasisInfobyte 🚀 ✨ I worked on a project to help retailers suggest products to customers using data analysis. My goal was to create a model that predicts what customers will buy based on their past purchases and interactions. 🌟 Project Overview: Objective: Develop a robust model to predict customer purchase behavior based on retail sales data. I used a dataset provided by #OasisInfobyte, which included customer purchase history and product details. My model can help retailers improve product recommendations and increase sales. 🌟 In the future, I plan to enhance the model by: - Adding demographic data - Analyzing seasonal trends - Personalizing marketing strategies based on individual customer preferences 🌟 Check out my project on GitHub : https://lnkd.in/eFQ6xK6t #Oasisinfobyte #internship #bigdata #data #Oasisinfobytefamily #dataAnalysis #machinelearning

Built a Decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Used a Bank marketing dataset for the analysis. #Datascience #DataVisualization #trends #insights #ProdigyInfoTech #internship

🎉 Excited to start a new chapter as a Market Research Intern at Metatech Insights! Metatech Insights is at the forefront of delivering actionable market research and insights, empowering businesses to navigate today’s fast-changing industries with precision and confidence. Their mission to unravel trends and transform data into strategic opportunities aligns perfectly with my passion for uncovering market potential. During this internship, I look forward to honing my skills in healthcare consulting and diving deeper into tools and methodologies like data analysis, competitive intelligence, forecasting, and strategic planning. I’m eager to apply research frameworks and technologies that drive innovation in healthcare markets while gaining hands-on experience in solving complex business challenges. If you have any advice or resources about market research, healthcare consulting, or tips for making the most of an internship, I’d love to hear them! Feel free to drop your insights in the comments or connect directly. 🤝 Let’s connect and stay tuned for updates on my journey in the world of market insights! 🌟 #NewBeginnings #MarketResearch #DataAnalysis #StrategicInsights #InternshipJourney #ProfessionalGrowth #MetatechInsights #HealthcareIT #MedicalDevices #HealthcareConsulting #CareerDevelopment #InternshipExperience

🚀Hello Connections! I am excited to share that I received an internship opportunity from Internship Studio in the field of Data Analytics based on my impressive performance in the Common Internship Test. Looking forward to learning and developing new skills. #internshipstudio #dataanalyst #dataanalysis #keeplearning #keepgrowing

"Excited to share that I have successfully completed a 1-month Business Analytics Internship! 📊🚀 This experience has deepened my understanding of data analysis and business insights, helping me build skills that I’m eager to apply in future opportunities. Grateful for the knowledge gained and looking forward to leveraging these skills in the next chapter of my career! #BusinessAnalytics #InternshipExperience #ContinuousLearning #DataDriven #CareerGrowth"

Coffee Shop Sales Profitability Analysis As part of my internship with InternnCraft, I conducted a comprehensive analysis of a coffee shop transaction dataset to evaluate product profitability and forecast future trends. Key Findings: - Data Cleaning: Addressed missing values, standardized categorical data, and ensured data integrity. - Exploratory Data Analysis: Analyzed transaction distributions, sales by location, and revenue by product category. - Profit/Loss Analysis: Estimated costs and identified loss-making products. - Predictive Modeling: Implemented Random Forest, Linear Regression, and Lasso Regression models to forecast future profits. - Time Series Forecasting: Utilized ARIMA for predicting sales trends and seasonal patterns. For more details, check out the full report on https://lnkd.in/dtuHa-QT. #DataAnalysis #PredictiveModeling #Internship #DataScience #BusinessAnalytics #Internncraft

🚀🌟 New Project: Sales Data Analysis 🌟📊 In my internship at Afame Technologies, I'm working on a dynamic Sales Data Analysis project aimed at transforming sales data into actionable insights. Key objectives of the project include: Revenue Insights: Calculating total sales, profit margins, and other revenue indicators. Trend Analysis: Uncovering patterns in sales data to aid demand forecasting. Top Performers: Identifying best-selling products and high-revenue markets. Data Visualizations: Developing dashboards to present findings effectively. This project is enhancing my analytical and visualization skills, preparing me for impactful roles in data-driven decision-making. #AfameTechnologies #Internship #SalesDataAnalysis #DataAnalytics #CareerGrowth