Steve Hillen’s Post

During my internship, I generated $25,000 revenue surge for my clients in 3 months using end to end data analytics. I started by diving into their data, searching for any hidden trends or patterns that could be exploited. It was like being a detective, following the clues to uncover the secrets of their business. One of the first things I discovered was a hidden revenue opportunities. My clients were amazed that they had been missing out on this all along. With my newfound insights, I helped my clients make strategic decisions that propelled their businesses forward. They were so grateful for my help that they even gave me a bonus! I also took the time to improve the quality of their data, which made it easier to analyze and more reliable. This led to even more accurate insights and better decision-making. Finally, I created a user-friendly dashboard that gave my clients real-time access to their data. This saved them a lot of time and made it easier for them to track their progress. My internship was an incredible experience. I learned so much about data analysis and how to use it to make a real difference in people's lives. If you're a business owner looking to take your company to the next level, I highly recommend using data analysis. It's a powerful tool that can help you uncover hidden opportunities, make better decisions, and save time. PS: Contact me today to discover how I can help you to unlock the power of data. #yourdatainsightspartner #dataanalytics #intern #experiance

🚀 Delving deep into data cleaning and analysis in Week 3! 💡 During my internship data analytics , this week I tackled real-world datasets, developing my skills with hands-on assignments. From cleaning messy data to looking after hidden insights, the experience was both challenging and rewarding. 💻💡 Thanks Rushikesh Konapure for this data set. Also big thanks to PrepInsta and Atulya Kaushik for hosting this Winter Internship. 🔍 In one assignment, I cleaned a dataset, handling missing values, and standardizing columns for a seamless analysis process. 🧹 Another task involved diving into a really messed up dataset, exploring, quantitites, items and prices relationships, ensuring data integrity, and transforming categorical data for clearer insights. 🧩 Each step of the way presented unique puzzles to solve, from managing special characters to cross-validating values for integrity checks. The journey through these assignments was a masterclass in Pandas and data wrangling techniques. 📈 Week 3 has been an enlightening chapter, solidifying my foundation in data cleaning, manipulation, and analysis. Looking ahead for what lies ahead in this thrilling data-driven adventure! 🌟🔍 #DataScience #Pandas #DataAnalysis #LearningJourney

🌟 Exciting Update from My MeriSKILL Internship Journey! 🌟 Thrilled to share that I've successfully completed first project as part of the MeriSKILL  internship, and the learning journey has been nothing short of phenomenal!🚀 Project 1 - Creating Sales Analysis Dashboard. TOOL USED: PowerBI PURPOSE: Analyzing the sales data to identify trends, top-selling products, and revenue metrics for business decision-making. DESCRIPTION: In this project, I have used a large sales dataset to extract valuable insights. Explored sales trends over time, identified the best-selling products, calculated revenue metrics such as total sales and profit margins, and created visualizations to present the findings effectively. This project showcases my ability to manipulate and derive insights from large datasets, enabling to make data-driven recommendations for optimizing sales strategies. COLUMN DESCRIPTION FOR SALES DATA ANALYSIS: • ORDER ID • PRODUCT • QUANTITY ORDERED • PRICE EACH • ORDER DATE • PURCHASE ADDRESS • MONTH • SALES • CITY • HOUR 📋Tasks Performed: 🔵Imported Dataset from Excel to Power BI Desktop. 🔵 Did Data Cleaning process like unnecessary column removal, changed data type, promoted headers, Removed Duplicates, and empty. 🔵Created a Separate Date Table Using the [Calendar] Dax function. 🔵Created necessary measures. 🔵Used efficient and suitable Visuals to represent Insights. 🔵Used Slicer and filter to make reports more dynamic and interactive. 🔑Key Insights: 🔵Total sales are 36 million. 🔵Fourth quarter of the year 2019, has reported the highest sales with $12Million which contribute about 33.5% of total sales. 🔵December is the month with highest sales of about $ 4.6 million. 🔵Total 209K units of products has been ordered. 🔵Macbook Pro Laptop has the highest sales about 8 million. 🔵San Francisco was the highest city in terms of sales with $8.3 million. #meriskill #powerbi #visualization #dataanalytics #sales #datadrivendecisions #internship #data #finances #Insights #DAX #powerquery #BIReporting #PowerBIDesktop