Hitesh Pareek

Dashboard#2 IPL Analysis Dashboard: Uncovering Trends and Champions This insightful Excel dashboard offers a comprehensive overview of the Indian Premier League, providing valuable insights into team performance, match outcomes, and player achievements from its Debut Season 2008 till 2018. Key highlights include: Team performance analysis: Identifying winning trends based on batting or fielding first, along with top-performing teams and their winning strategies. Venue analysis: Revealing stadiums with the highest win rates and their impact on match outcomes. Player spotlight: Highlighting top Man of the Match winners and their contributions to team success. Toss impact: Analyzing the influence of winning the toss on match results. I'm eager to continue exploring the IPL's data-rich universe and uncover even more hidden patterns! 🔍 #IPL #CricketAnalytics #DataVisualization #Dashboard

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Hello, Connections I am excited to share my Coffee Shop Sales Analysis Dashboard. This Power BI dashboard project provides insightful analysis of sales data for a coffee shop. The dashboard is designed to help understand various aspects of sales performance as mentioned in the feature section below: Features Total Sales Month-wise: Visualizes the total sales over different months to identify trends and patterns. Peak Hours of Sales: Determines the busiest hours of the day for sales, aiding in staff scheduling and resource allocation. Sales Variation: Analyzes how sales vary on a daily and weekly basis, enabling better inventory management and marketing strategies. Total Sales by Store Location: Breaks down sales data by store location to identify top-performing and underperforming stores. Average Price Per Order: Calculates the average price per order to understand customer spending habits. Sales by Product Category: Categorizes sales data by product category to identify popular and less popular items. Inventory Management: Manages daily orders to optimize inventory levels and reduce waste. Kindly share your valuable feedback Shashank Singh 🇮🇳, Munna Das, Swapnjeet S, Mona Swarnakar, Nilay Mukhopadhyay, and the Codebasics team. Thank you. Live Dashboard Link: https://lnkd.in/gUQzKP3y

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Hello everyone, Here is my latest Tableau Dashboard Presentation. Topic- E-mail Interaction: Departmental and Seniority Level Analysis Aim of the Dashboard- Give a visual presentation on response rate , time management , seniority level interaction, topic frequency and devices used. Purpose of this analysis - The purpose of the dashboard is to provide a comprehensive view of internal communication dynamics within your organization. By visualizing key metrics and trends, the dashboard will help stakeholders make informed decisions to improve communication strategies, enhance employee engagement, promote a healthy work-life balance, and foster better collaboration across departments. Key Insights of this Analysis- 1) Sentimental Analysis- The sentiment of most of the e-mail is neutral which means that the E-mails are mostly Professional. 2) Work efficiency Analysis- The work efficiency of all the employees in all the departments is good as they open most of the e-mails within the working hours. But even within that the efficiency of the Finance department is less as their e-mail opening rate after the working hours is more compared to the number of e-mails they have received. 3) Seniority Interaction Analysis- The interaction between the senior and the c-level employee is very low which might be because most of the emails are professional. 4) Response Rate Analysis- The executive management department has the highest rate of e-mail opening which indicates that they are quite responsive with the email they receive Hope this analysis is appropriate. Do comment your thoughts and suggestion on this dashboard in the comments section. Thank you.......

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𝐏𝐨𝐰𝐞𝐫 𝐁𝐢 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐀𝐬𝐤𝐞𝐝 𝐈𝐧 hashtag Tech Mahindra Calling all freshers/aspiring data analysts and especially #powerbi enthusiasts ! Today, I am sharing the Power BI interview questions that were asked in a service-based company, Tech Mahindra, along with their answers. Note: Reposting For New Audiences 1. How to handle missing values? 2. Explain the difference between Calculated Column and Measure? 3. What is DAX and give an example? 4. Explain RLS (Row Level Security) and how do you implement RLS 5. How do you disable a graph that is changing dynamically? 6. Explain the process of publishing a report? 7. How to perform Join operations? 8. How to create relationships in Power BI? 9. Good Practices in Power BI? 10. How many types or roles are available in power bi service and what was your role?

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Hi everyone, today I will be sharing my Fourth Power BI Task at Cognifyz Technologies. 📍 Task 4 : Investment Duration and Frequency 📋 Objective: Analyze investment durations and monitoring frequencies. ☑ Duration Distribution: Visualize the distribution of investment durations. ☑ Frequency Analysis: Examine investment monitoring frequencies and their impact on investment preferences. 📊 Key Insights : ✅ Mutual funds are more popular investment, with 18 members. Equity and Fixed deposits follow with 10 and 9 members. Public provident fund is the least popular with 3 members. ✅ Avenue by Durations: 1.19 investors prefer Duration of 3-5 Years. 2.18 investors prefer Duration of 1-3 Years. 3.very few investors choose less than 1 year or more than 5 Years. ✅ Investment Frequency: 1.72.5% of investors monitor monthly 2.17.5% of investors monitor Weekly 3.10% of investors monitor Daily. #cognifyz #cognifyzTech #cognifyzTechnologies #PowerBi #datavisualization #dax #internship

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I am extremely delighted to share that I have completed #task01 on Superstore Sales Operations using Power BI of my #internship with The Sparks Foundation! 📊 In this self-guided project, I: --Analyzed sales data of a sample superstore to identify the Technology category as the top profit contributor (50.82%). --Highlighted significant sales losses in Philadelphia, Houston, San Antonio, and Lancaster. --Observed underperformance of sub-categories of Furniture. I developed actionable strategies to minimize losses and enhance profitability, leveraging advanced data-driven insights. Dataset Link: https://shorturl.at/tcprw Video Link: https://shorturl.at/a8O7Z **PS: I would appreciate your opinions and recommendations regarding the project.** 😊 Apply Here for Internship under The Sparks Foundation: https://lnkd.in/eG6N3krs #DataScience #PowerBI #DataAnalysis #BusinessIntelligence #thesparksfoundation #DataVisualization #Analytics #GRIPJUNE24

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🚀 Excited to share my latest achievement in data analysis! 🚀 I’ve just completed 30 challenging questions using the Superstore(1) dataset in Python pandas. By leveraging basic filtering and the loc method, I’ve been able to extract valuable insights and sharpen my data manipulation skills. This hands-on experience has further enhanced my ability to navigate complex datasets efficiently. Looking forward to applying these skills in real-world scenarios and continuing my journey in data analysis! 💻📊 #DataAnalysis #Python #Pandas #LearningJourney #DataScience link to GitHub :- https://lnkd.in/g4WDAbuG

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🌟 Inviting Participation in Research Study 🌟 Hello Connections, I am Aniket Saha, a student of PIBM in the Business Analytics department. My research project focuses on developing a strategy for consumer migration from online to offline markets titled "Develop a Strategy for Consumer Migration from Online to Offline" using the conjoint analysis method. I am inviting you to participate in a study on the factors influencing motivation to buy online and offline modes. Your responses are completely anonymous and will only be used for research purposes. Thank you for taking the time to share your thoughts and experiences. Your contribution will be invaluable to our research! Google form link - https://lnkd.in/eredBmDz #ResearchStudy #OnlineOfflineStrategy #ConjointAnalysis #ConsumerBehavior #PIBM

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Hlo connections I am working as Power BI intern in Cognifyz Technologies. This is my first task that is Data Exploration and Summary. This task is done by the help of given data there are some details of members. In this task I follow some steps that are done in this. Steps: 1.Data Import: Import the dataset into Power BI. In this step first import tha data from the csv file. 2.Exploratory Analysis: Explore the dataset this step includes to explore the dataset and if required then transform dataset. 3.structure and data types. Calculate Statistics: Compute average age, percentage of individuals with various investments, and common savings objectives. In this step calculation performed using the formulas and measure the given things. 4.Visualization: Create charts for effective visualization of the summary statistics this is final step of Task 1 to visualise the measurements in charts In this task I use bar charts, cards and donut charts. Cognifyz Technologies #cognifyz #PowerBI #DataAnalytics

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Data Analysis Intern | Cognifyz Technologies 🔹 Level - 3 Task Completion I am currently a Data Analyst intern at Cognifyz Technologies, where I’ve successfully completed Level 3 gaining hands-on experience in data cleaning, preprocessing, statistical analysis, and visualization using Python. Working on real-world datasets has sharpened my skills in uncovering valuable insights and supporting data-driven decision-making. 💡 A special thanks Nallagoni Omkar Sir 🙏 for his constant guidance and support throughout my journey, helping me achieve this milestone! 🚀 💡 Key Skills & Tools: • Python (Pandas, NumPy, Seaborn, Matplotlib) • Data Cleaning & Preprocessing • Statistical Analysis & Data Visualization • Problem-Solving & Analytical Thinking 🎯 My focus is on delivering accurate insights from complex datasets, improving efficiency, and driving meaningful outcomes. Looking forward to continuing my growth in this field and contributing to impactful projects. 🌟 🔖 hashtag #DataScience #DataAnalytics #Python #MachineLearning #CognifyTechnologies #DataVisualization #ETL #BigData #DataDriven #InternshipExperience #DataAnalysis #BusinessIntelligence #TechForGood

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🔍 Project Title: Zomato Sales Analysis 🔗 GitHub Repository: https://lnkd.in/e225jj2p 📝 Overview: This project dives into Zomato’s customer and order data to uncover key trends, patterns, and actionable insights. Using Python for data manipulation and visualization, I explored customer behaviors, peak ordering times, and other metrics critical for business strategy. ✨ Project Highlights: Data Preparation: Cleaned and preprocessed datasets with Python libraries, handling missing values and converting time data to enable detailed temporal analysis. Exploratory Data Analysis (EDA): Extracted meaningful insights through advanced EDA, segmenting orders by time of day, frequency, and location. Visual Storytelling: Leveraged Matplotlib and Seaborn to create intuitive visualizations, highlighting peak order times, popular locations, and restaurant types. 📊 Key Findings: Order Trends: Discovered peak ordering times, providing insights for operational optimization (e.g., evenings or weekends). Popular Cuisine Types: Identified top cuisines and restaurant preferences, aiding in targeted customer outreach. Customer Patterns: Noted key demographic preferences and spending behaviors, offering actionable intelligence for customer engagement strategies. This project helped me advance my skills in data wrangling, visualization, and deriving business insights. You can find the full code and documentation in my GitHub repository linked above! #DataAnalysis #Python #EDA #DataVisualization #DataManipulation #ZomatoAnalysis #GitHub #DataScience #Pandas #Seaborn #Matplotlib #DataCleaning

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D-MART Sales Dashboard Created an interactive sales dashboard in Microsoft Power BI to analyze key metrics, including sales, profit, and quantity by category, region, and time period, enhancing data-driven decision-making.

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🔍 Exploring Crime Trends in India: A Tableau Project Excited to share my latest project utilizing Tableau to delve into the patterns and insights within India's crime data. 🇮🇳📊 🔍 Project Overview: I analyzed a comprehensive dataset on crimes in India, spanning various regions and categories. 📊 Visualizations Utilized: Pie Charts: Unveiling the distribution of different crime types across states. Bar Charts: Comparing crime rates over time and across regions. India Map: Visualizing crime hotspots and trends geographically. Calculated Fields: Custom metrics to deepen the analysis and extract meaningful insights. 🔎 Key Findings: Identified prevalent crime types in different states. Uncovered temporal patterns and variations in crime rates. Mapped out areas with higher concentrations of specific crimes. 📈 Impact and Insights: This project not only showcases my proficiency in data visualization with Tableau but also sheds light on critical societal issues, offering insights that can inform policymaking and interventions. I'm eager to discuss the methodologies used, insights gained, and potential implications.🌟 hashtag #tableau hashtag #DataScience hashtag #DataVisualization hashtag #Analysis

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Hey connections!! I earned a certificate "Introduction to Tableau" from DataCamp. This course helped me in Data Visualization Here we will build charts, graphs, and maps to present different types of data with the D3. js. library. we will also learn about JSON(JavaScript Object Notation) and how to work with data online using an API(Application Programming Interface). Thank you Dr. ELN Kiran Kumar Sir #Datacamp #DataVisualization #Tableau

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Hello Everyone, Excited to share my Power BI dashboard packed with key insights from the past 3 years of IPL data! 🏏📊🏆 𝙋𝙧𝙤𝙗𝙡𝙚𝙢 𝙎𝙩𝙖𝙩𝙚𝙢𝙚𝙣𝙩: New sports blog "Sports Basics" wants to boost traffic with an IPL 2024 data-driven magazine for fans, analysts, and teams. Data journalist Peter Pandey tackles the challenge under chief editor Tony Sharma. 𝙋𝙧𝙞𝙢𝙖𝙧𝙮 𝙄𝙣𝙨𝙞𝙜𝙝𝙩𝙨: 📈 Top Run Scorers: Witness the top 10 batsmen dominating the runs leaderboard. 🏏 Batting Averages: Discover the most consistent batsmen based on average runs scored. 🚀 Strike Rate: Identify the fastest batsmen maximizing runs per ball faced. 💥 Top Wicket-Takers: Unearth the bowlers who consistently rattled the opposition. 🎯 Bowling Averages: Recognize the most economical bowlers with the lowest average runs conceded per wicket. 🛡️ Economy Rate: Spotlight bowlers with exceptional control, minimizing runs conceded per over. 💥💥 Boundary Specialists: Find the boundary kings with the highest percentage of fours and sixes hit. 🛑 Dot Ball Experts: Commend the bowlers who applied the brakes most effectively. 🏆 Winning Teams: Witness the IPL's reign supreme over the past 3 seasons. 🏆 Chase Masters: Discover the teams most adept at achieving victory while chasing targets. 𝙎𝙚𝙘𝙤𝙣𝙙𝙖𝙧𝙮 𝙄𝙣𝙨𝙞𝙜𝙝𝙩𝙨 𝙖𝙣𝙙 𝙋𝙧𝙚𝙙𝙞𝙘𝙩𝙞𝙤𝙣𝙨: 🏆👑 Orange & Purple Cap contenders 🔝 Top 4 Qualifying Teams 🥇🥈 Potential Season Winner & Runner-Up 𝙈𝙮 𝘿𝙧𝙚𝙖𝙢 𝙏𝙚𝙖𝙢 & 𝙏𝙤𝙥 𝘼𝙡𝙡-𝙍𝙤𝙪𝙣𝙙𝙚𝙧𝙨: Data-driven insights helped me assemble my ultimate IPL fantasy team and identify the top 3 all-rounders. 𝙏𝙤𝙤𝙡𝙨 𝙐𝙨𝙚𝙙 🛠 : Power BI: Data analysis & visualization Microsoft Powerpoint: Creating canvas background images OBS: Recording Adobe Premiere Pro: Editing - Live Dashboard Link 🔗 : https://lnkd.in/gnjA962A - Presentation Link 📽 : https://lnkd.in/g3-tTujH - NovyPro Dashboard Link: https://lnkd.in/ggxuQ_pK While unforeseen circumstances prevented timely submission, this project has been an invaluable learning journey. For that, I'm grateful to the Codebasics Team, especially Dhaval Patel and Hemanand Vadivel, for their incredible mentorship and interesting challenge initiatives via Youtube & Discord. Though the project wasn't submitted on time, I'd appreciate everyone's visit and feedback. Feel free to share your insights - I'm eager to learn and improve! 😊 #powerbi #codebasics #powerbidashboard #dataanalytics #github #dataanalysisportfolio #data #presentation #codebasicsResumeChallenge #codebasicsresumechallenge10 #IPL2024 #cricketdata #sportsanalytics #BCCI #dataanalysis #dashboard #powerbi #predectiveanalysis #excel #python #sportsanalysis #analysis #analytics

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Transforming Data into insights 📊 Unlocking the Nifty-50 💹 : Using Power BI for In-Depth Market Analysis. Proud to share my latest project where I conducted a comprehensive descriptive analysis of the Nifty-50, enriched with interactive graphs and visualizations📊.Discover the key trends and insights shaping India's premier stock market index. Would love to hear your thoughts and feedback! hashtag #PowerBI hashtag #DataAnalysis hashtag #DataVisualization hashtag #Analytics hashtag #Nifty hashtag #stocks hashtag #Nifty50 hashtag #MarketTrends hashtag #Trends Shivam Joshi Codons

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#Passion provides purpose,but data drives decisions.✨ 🚀 Excited to unveil our Latest Project: #Harnessing_SQL_for_Targeted_Instagram_Marketing: #Data_Retrieval_and_Analysis"! 🎯 where we leveraged #SQL to retrieve and analyze Instagram data. The primary objective was to develop targeted marketing strategies that drive higher engagement and more effective audience outreach. In this phase, we meticulously examined the dataset using SQL, providing valuable insights to help users understand their business growth and answer key questions. A big thank you to Mani Teja and Pujala Bhanuprakash, for the guidance and support! 🙏 Nagaraju Ekkirala Innomatics Research Labs Raghu Ram Aduri #Group_Member : MD Tahseen Equbal and Santosh Cy Check out the project on #GitHub: https://lnkd.in/gNexZs99 🚀 #DataAnalytics #SQL #InstagramData #MarketingStrategies #BusinessGrowth #TechTrends Feel free to connect and share your thoughts! 🤝

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I'm glad to share that I have successfully completed DAX- Basic Concepts from 365datascience. This certificate helped me to gain the usage & functionality of DAX in PowerBI which will act as stepping stone in my data journey. #Powerbi #DataAnalyst #DAX #PowerQuery #DataModelling #Sql #learn365

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