Nandini Verma’s Post

Happy Monday, everyone! 🌟 As an Entry Data Analyst and Business Intelligence intern, I'm excited to dive into a week full of learning and growth. This week, my main focus will be on mastering predictive analytics and understanding its real-world applications. Predictive analytics is a powerful tool that helps organizations anticipate future trends and make data-driven decisions. I’m looking forward to enhancing my skills in this area and sharing my insights with you all. What are your goals for this week? Let’s achieve them together! 💪 #MondayMotivation #DataAnalytics #PredictiveAnalytics #CareerGoals

🌟 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐒𝐡𝐚𝐫𝐞 𝐦𝐲 𝐅𝐢𝐧𝐚𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞𝐛𝐚𝐬𝐢𝐜𝐬 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩 🌟 As part of the Codebasics Data Analyst Bootcamp, I have successfully completed my Data Analyst Virtual Internship at AtliQ Technologies. My project aimed to assist Shield Insurance Company in making data-driven decisions through an interactive Power BI dashboard, which provides crucial business insights. 🔍𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: • 26,841 customers contributing 989.25 million in revenue, with Delhi as the top region. • The 31-40 age group is the largest customer segment, driving 356 million in revenue from 11,455 customers. • A massive 85% revenue and 82% customer growth in March 2023, followed by a 41% decline in April. • The offline agent channel contributes to 55% of the customers and revenue. • POL4321HEL is the most popular policy, while POL2005HEL generates the highest revenue at 324.26 million. 💡𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: • Boost digital sales channels to diversify customer acquisition. • Focus on tailored offerings for the 31-40 age group to drive growth. • Investigate the sharp decline in April 2023 to avoid future drops. • Enhance marketing efforts around top-performing policies. 🙏A big Thanks to Dhaval Patel, Hemanand Vadivel, and Codebasics for this invaluable opportunity to work on real-world business challenges. 📽️Check out my video presentation below for detailed explanation of the Project! #codebasicsvirtualinternship #PowerBI #DataAnalytics #InsuranceTech #DataDriven #CodebasicsBootcamp

"🚀 Excited to share the successful completion of my 6-month internship at AI Variant Company as a Data Analyst! 📊 During this transformative journey, I proudly contributed to two impactful projects: 1. **Bank Analysis Project:** 🏦 Led the analysis of financial data, unraveling insights that steered strategic decisions for the banking sector. Implemented advanced analytics techniques using MySQL, Power BI, Tableau, and Excel for pattern identification and trend analysis. 2. **Manufacturing Analysis Adventure Work:** 🏭 Spearheaded a comprehensive analysis in the manufacturing domain, utilizing data-driven approaches with MySQL, Power BI, Tableau, and Excel to optimize processes and enhance overall efficiency. Explored innovative solutions for improved production and resource utilization. Thrilled to have received a certificate of accomplishment, now available on my LinkedIn profile. 🌐 Dive into the details of my journey and feel free to connect for discussions on data analysis or related topics! Grateful for these valuable experiences and eager to apply these skills in future endeavors! 🌟"

Task 3 of my online internship with Tata Data Visualization: Empowering Business with Effective Insights via Forage, and it's been a real deep dive into the world of data visualization with Power BI! 🚀 This task had me playing the crucial role of a data analyst, tasked with creating visuals that answer specific questions from the CEO and CMO of an online retail store. The aim was clear: to provide actionable insights for strategic decisions and expansion plans. Here's a brief on my approach: Step 1: Kicked off by cleaning the data in Excel using Power Query. This step was all about removing duplicates, filtering out zero unit prices and quantities less than one, and ensuring the data was pristine for analysis. Step 2: Imported the cleaned data into Power BI, where I calculated revenue using the SUMX function and visualized the 2011 revenue trends with a line chart, focusing solely on that pivotal year. Step 3: Created a side-by-side bar chart for the CMO, showcasing the top 10 revenue-generating countries (excluding the UK), accompanied by quantities sold - a visual feast of insights! Step 4: For a closer look at customer value, I designed a bar chart to display the top 10 customers by revenue, making sure to exclude any without a CustomerID and sorting them in descending order of revenue generated. Step 5: The final challenge was a map visualization highlighting regions with high demand for the store's products, strategically excluding the UK to focus on potential expansion opportunities. Each step was a building block in understanding not just how to create compelling visuals, but how to extract meaningful insights from raw data that can guide executive decision-making. Feeling proud and energized by what I've learned and accomplished! Here's to bringing data to life and making it speak volumes. Can't wait to share more about my journey and the insights it unfolds!

🚀 I'm thrilled to share that I've successfully completed my data analytics internship with Ai Variant !! 💡 Over the past few months, I had the opportunity to work on a challenging and insightful Bank Analytics project, where I deepened my expertise in Excel, SQL, and Power BI. 🏦 Bank Analytics Project Link: https://lnkd.in/dvYEaxez In this project, I developed a comprehensive dashboard divided into three key sections: 1. Home 🏠 : Provides an at-a-glance view of key loan metrics such as total payments, revolving balances, loan amounts, and annual income, along with interactive filters for detailed analysis. 2. Loan Overview 💴: Visualizes loan distribution over time, by home ownership type, and verification status. It also includes metrics such as loan status by month, offering insights into trends and patterns. 3. Loan Segmentation 💹: Breaks down loan data by employment length, grade, and other factors, allowing for a deeper understanding of the loan portfolio and customer segments. This experience allowed me to apply my technical skills to real-world data, uncover actionable insights, and create visualizations that support data-driven decision-making. I'm incredibly grateful to the AiVariant team for their support and guidance throughout this journey. Looking forward to continuing to grow in the field of data analytics! 🚀 #DataAnalytics #PowerBI #SQL #Excel #Internship #BankingAnalytics #AiVariant #DataVisualization #FinancialAnalysis

🎉 Wrapping up an amazing chapter! I’ve officially completed my Data Analyst internship at Unified Mentor Mentor, and what a journey it’s been! From diving into data to uncovering insights that drive real decisions—each project taught me something new. 📊💡 Here’s a quick preview of what I’ll be sharing soon: 🔍 Key data trends we analyzed and how they impact business 📈 Visualization techniques that tell powerful stories 🚀 Lessons in data-driven decision-making I’m excited to post more details about these projects, and I’d love to hear your thoughts and insights! What data challenges are you tackling in your own work? Let’s talk in the comments! 👇 #DataAnalytics #DataScience #CareerGrowth #LearningJourney #DataVisualization #Analytics #GrowthMindset #TechSkills #UnifiedMentor #DataDriven

🎉 First Project Completed! Excited to share that I have successfully completed my first project as a Data Analyst Intern at Unified Mentor his project focused on Employee Attrition Analysis using Power BI, where I: Analyzed key trends and patterns in employee retention and turnover. Built interactive dashboards to visualize critical insights for decision-making. Provided actionable recommendations to address attrition challenges. This experience has enhanced my skills in data analysis, visualization, and problem-solving. Looking forward to tackling more projects ahead! 🚀

I'm thrilled to share that I have completed task 1 of my Oasis Infobyte Data Analytics internship. I meticulously address missing values through strategic imputation or informed handling, while my keen eye eliminates duplicate records, guaranteeing data uniqueness and clear conclusions. Consistent formatting and units across datasets are my secret weapon for seamless analysis and accurate comparisons. I don't shy away from outliers; instead, I leverage my expertise to identify and handle them, ensuring my analysis reflects reality. This comprehensive approach transforms raw data into a polished foundation for uncovering valuable insights that drive impactful decision-making. It's not just a skill, it's a commitment to excellence in data analysis.

🚀 Excited to share my latest project from The Sparks Foundation's Data Science and Business Analytics Internship! 📊 🔍 Task 3: Exploratory Data Analysis - Retail 🛒 📅 Internship Batch: #GRIPMARCH2024 🎓 📝 Task Description: Conducted in-depth analysis of the Sample Superstore dataset to gain insights into sales trends, profitability, and factors influencing customer demand. 🔍 Key Steps: 1. Problem Understanding: Explored dataset variables such as Ship Mode, Segment, Country, City, Prices, and Region to identify trends and relationships. 2. Basic Cleaning: Handled missing data and converted categorical variables for accurate analysis. 3. Tested Assumptions: Analyzed profit and loss trends across different states and cities, and identified factors impacting subcategory demand. 4. Data Visualization: Utilized Power BI Public for visualizations, including bar charts and scatter plots, to present key insights. 5. Statistical Analysis: Employed statistical tests to validate assumptions and draw actionable insights. 🔗 Links: 📽️ Video Demonstration: https://lnkd.in/gDuYJyrK 📄 LinkedIn : https://lnkd.in/gPkjQWYm 📂 GitHub : https://lnkd.in/eaJy7bbW 📈 Key Findings: - Identified regional sales patterns, with the East Coast leading in revenue. - Uncovered insights into customer segments, with loyal customers driving a significant portion of sales. - Explored the impact of shipping modes on sales performance. 💬 Excited to share more insights from my journey in data analytics! Let's connect and discuss further. #DataAnalytics #DataScience #TheSparksFoundation #GRIPMARCH2024 #RetailAnalysis #LinkedInPost #DataInsight Feel free to customize this LinkedIn post with your specific project details, including any additional insights or achievements you'd like to highlight.

Greetings LinkedIn community, Thrilled to announce the successful completion of Task 3 in my Data Science Internship at Prodigy Infotech! 🌐 Decision Tree Magic Unveiled! 🌳 Excited to announce the successful creation of a Decision Tree Classifier, predicting customer purchases based on demographic and behavioral data from the Bank Marketing dataset. 🚀💼 🔍 Key Steps Taken: Data Exploration: Unraveled insights from demographic and behavioral data. Model Building: Constructed a powerful Decision Tree Classifier for predicting customer choices. Evaluation: Analyzed model accuracy and effectiveness. 👉 Explore the Project: Dive into the journey of predicting customer behavior on GitHub:https://lnkd.in/gqKp5_zN Thrilled about the predictive power unlocked and eager to apply these skills in real-world scenarios! 🌈✨ #DataScience #MachineLearning #DecisionTree #BankMarketingDataset #PredictiveAnalytics