As I have completed my Task 1 retail sales analysis during my internship at Interny Official Analyzing data to uncover trends, patterns, and insights that drive sales growth. Looking forward to applying my skills in data analytics to help optimize strategies and maximize ROI. #DataAnalytics #InternshipExperience #RetailAnalysis
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Excited to share insights from the recent exploratory data analysis (EDA) on retail sales! 📊💼 We delved into key metrics, identified trends, and uncovered actionable insights to drive business growth.Stay tuned for a detailed breakdown of our findings! #DataAnalytics #RetailSales #Insights" As a part of my internship. I completed my first project EDA on retail sales and gain some knowledge towards various sales trend anlysis, forecasting, customer behavior, product performance and inventory management. Oasis Infobyte #oasisinfobyte #Internship # Data analytics
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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
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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
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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
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🔍 Thrilled to have completed a rewarding internship in Market Research at [Corizo]. 📊 During this experience, I had the opportunity to delve into data analysis, consumer behavior studies, and market trend identification. 💡 It was a fantastic opportunity to apply classroom knowledge in a real-world setting, contributing to meaningful insights for the team. Grateful for the chance to learn and grow in such a dynamic field! #MarketResearch #InternshipExperience #DataAnalysis
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⭐️Thrilled to share my recent internship experience! I've successfully completed a 1-month internship with Mentorness, where I had the opportunity to work on two exciting data analysis projects: 1. Walmart Sales Analysis (SQL) • Utilized complex SQL queries to derive insights from Walmart's sales data. • Analyzed sales transactions, customer behavior, and product performance to improve business decisions. • Created a comprehensive PowerPoint presentation and a video explaining my analysis. 2. Food and Beverage Industry Survey Analysis (Excel & Power Bl) • Explored survey data in-depth using Power Bl and DAX functions to uncover key consumer insights. Designed an interactive dashboard showcasing trends and preferences in the food & beverage industry. • Developed a PowerPoint presentation and a video to explain the findings. It was an amazing learning experience where I honed my skills in SQL, Excel, Power Bl, and DAX. Excited to apply this knowledge in future opportunities! #dataanalytics #internship #sql #powerbi #dax #walmartsales #businessinsights #dataanalysis
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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
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🌟 Excited to share my recent experience from my internship at OESON, where I explored data analysis using advanced Excel techniques! 🌟 During this internship, I worked on a comprehensive project analyzing an e-commerce database. My tasks included formatting data, creating insightful tables, performing statistical analyses, and developing a detailed sales dashboard. Key Insights & Conclusions: Regional Focus: Strategies need improvement for the least profitable regions, such as Canada, the Caribbean, and Central Asia. Seasonal Strategies: Implement discounts or combined offers during less profitable months (February, September, and November) to boost sales. Dominant Category: Fashion is the top-performing product category, contributing significantly to both sales and profits. Product Intervention: Adjust pricing or reduce costs for the least profitable products, including keyboards, watches, and mixers/juicers. This project has been an incredible learning experience, allowing me to apply and enhance my data analysis skills with Excel. I’m grateful for the mentorship and support from Aritri Debnath (Ghosh) at OESON and Tanishq Chohan (Founder & CEO | OESON). Eager to apply these insights to real-world scenarios and continue my journey in data analytics! #OESON #OGTIP #DataAnalytics #Excel
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Just wrapped up an in-depth analysis of retail store data during my internship at NMD Pvt.Ltd, and it’s been quite revealing! We analyzed sales, profitability, and customer behavior for a sample superstore and uncovered some key insights and opportunities for improvement: • Technology products are dominating, contributing nearly half of the total business. • Shipping costs are cutting into profitability more than expected. • Some of the top-selling products aren’t as profitable as they seem. • Adjusting our discount strategy could lead to significant gains. For the full report, feel free to check out my GitHub: https://lnkd.in/gJB23UWN If anyone else is in retail or data analysis, I'd love to hear your thoughts! #RetailAnalysis #DataInsights #BusinessStrategy #NMDPvtLtd
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I'm thrilled to announce the successful completion of my Sales Data Analysis project as part of the MeriSKILL internship program. Throughout this internship journey, I've had the opportunity to dive deep into a vast sales dataset, unraveling insights that will shape strategic decisions and drive business growth. From identifying sales trends to analyzing product performance, it's been an exhilarating ride filled with learning and discovery. Key highlights of the project include: 🔍 Exploratory Data Analysis: Conducting comprehensive exploration of the sales data to uncover patterns and trends. 📈 Trend Analysis: Identifying sales trends over time and extracting actionable insights to optimize business strategies. 🏆 Product Performance: Analyzing product sales performance to understand customer preferences and market demand. 💰 Revenue Metrics: Calculating key revenue metrics such as total sales and profit margins to evaluate financial performance. 📊 Data Visualization: Creating visually appealing dashboards using Power BI to communicate insights effectively. Report Link - https://lnkd.in/g2zZphnW This internship experience has been incredibly rewarding, allowing me to apply my analytical skills to real-world business challenges. I'm excited to continue leveraging data-driven insights to make a meaningful impact in future endeavors. #DataAnalysis #Sales #PowerBI #Meriskill #Internship #DataDrivenDecisions #BusinessAnalytics MeriSKILL
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