Gajendra Sharma’s Post

Excited to Share My Recent Work! I’ve just wrapped up a deep dive into the Zomato dataset, focusing on Exploratory Data Analysis (EDA) and Feature Engineering. It’s been an incredible journey uncovering insights and enhancing the dataset for better machine learning models. Here’s what I’ve been up to: Explored Data: Visualized trends and patterns to get a clearer picture of restaurant ratings, cuisines, and more. Engineered Features: Created new features and transformed existing ones to boost the performance of predictive models. I’m thrilled with how it turned out and excited to continue learning and applying these skills. If you’re interested, you can check out the project on my GitHub repository. Would love to hear your thoughts or feedback! #DataScience #MachineLearning #FeatureEngineering #Zomato #DataAnalysis

🌟 Diving into Zomato Data: A Journey of Insights and Exploration! 🌟 Analyzing a dataset with 17 features from Zomato was not just a project—it was an adventure into the world of food, trends, and customer preferences. My objective was clear: to uncover patterns and insights that could reveal what drives success in the restaurant industry. 📌 Here’s what I did: Explored fascinating metrics like average cost for two, cuisines, ratings, and geographic locations. Mapped urban dining trends, discovering that 80% of restaurants are concentrated in metropolitan areas, with 45% of premium venues in cities like Delhi and Mumbai. Analyzed customer behavior, finding that restaurants offering online delivery scored 60% higher ratings. Connected pricing with satisfaction, noting that high-end restaurants in the 4-5 price range averaged an impressive 4.7 rating! The thrill of turning raw numbers into meaningful insights was incredible! This journey taught me the value of curiosity, analytical tools, and perseverance. 🙏 Thank you to everyone who inspired and supported me during this project—your guidance and encouragement mean the world! If you share a passion for data or love unraveling stories hidden in numbers, let’s connect and exchange ideas! 🚀 Innomatics Research Labs

🔍Diving back to basics can lead to profound insights! 🚀 Huge thanks to Ayushi Jain and WsCube Tech for an insightful webinar that rekindled my data analytics foundations. I’m continuing to analyze this Zomato project, digging even deeper into the data. Here’s what I’ve covered so far 👇 Data #Cleaning & Processing: Enhanced data quality by managing missing values and optimizing data types. Exploratory Data Analysis (EDA): Revealed patterns in order timing, customer locations, and popular dishes using Seaborn and Matplotlib. Customer Behavior Insights: Analyzed customer preferences across locations, age groups, and ratings. Order Timing Analysis: Tracked peak order times and assessed delivery efficiency. Payment & Order Status Patterns: Investigated trends in payment methods and order outcomes to assess satisfaction and workflow. Check out the project here: https://lnkd.in/gDGpF-Yi 🙏 Thank you again, Ayushi Jain and WsCube Tech, for the guidance and inspiration! Excited to uncover even more insights as I dive deeper. #DataAnalytics #ZomatoProject #WsCubeTech #DataScience #OngoingAnalysis #CustomerInsights

Hello, Linkedin connections!❤️ I'm excited to share that my team and I recently completed an in-depth research project titled "A Comparative Study of Swiggy and Zomato." We presented our findings to our peers, and the experience has been incredibly rewarding. Data Collection: We collected data through Google Forms, distributing questionnaires to customers of Swiggy and Zomato. Our survey received 75 responses. Tools Used: For data analysis, we utilized SPSS software and Excel. Key Findings: -Zomato is preferred by many customers due to its pricing strategy and delivery time. - Swiggy and Zomato are both average when it comes to offers, indicating a need for improvement in this area. Insights Gained: This research provided valuable insights into the strategies these platforms use to attract customers. It also enhanced my understanding of the research process and teamwork. Collaborating with my teammates made the experience enjoyable and productive. A big thank you to my fellow team members for their hard work and dedication. Together, we successfully completed this research and had a great time doing it. #snsinstitutions #snsdesignthinkers #designthinking

Hlo my dr connects🥰 I'm here to share that me and my team has done a research under the topic "A COMPARATIVE STUDY OF SWIGGY AND ZOMATO" . We presented it to our friends about the research work we have done. It's really interesting and excited will doing the research. Data collection: We collected data through Google forms by adding questionaries related to the research and we circulated it with the coustomers of Swiggy and Zomato. We got 75 responses. Tools used: For analysing the Data we used SPSS software and Excel. By analysing the data we came up with the findings and suggestions that the Zomato is preferred by many of the customers compared to swiggy coz of the "Pricing Strategy and Delivery Time". But when come to offers both them are average and they have to concentrate on it. This research made me to gain more knowledge and insights of the strategy used by them to attract the customers and I learned how the research work has to be done. With the help of my teammates, I have successfully completed the research work. Thanks to my fellow people and also it's quite easy will doing as a team and it made us to spend quality time together. #snsinstitutions #snsdesignthinkers #designthinking

🚀 Exciting News! 📊 I am thrilled to announce the successful completion of my latest project: Data Manipulation and Reporting with Power BI. 🎉 In this project, I had the opportunity to work with Zomato, a renowned restaurant aggregation and meal delivery service based in India, operating globally across multiple countries. 🍽️ Zomato is dedicated to providing comprehensive information about various eateries, along with valuable consumer reviews. The primary objective of this project was to delve deep into Zomato's vast dataset and uncover hidden irregularities that could potentially impact the company's performance. By leveraging the powerful tools and capabilities of Power BI, we meticulously analyzed the data to gain valuable insights into various aspects of Zomato's business operations. I am incredibly proud of the insights we were able to uncover through this project, and I am confident that our findings will contribute to Zomato's ongoing efforts to enhance their business performance and better serve their customers. 💡 A big thank you to the entire team for their collaboration and support throughout this project! 🙏 #DataAnalytics #PowerBI #Zomato #BusinessInsights #DataManipulation #Reporting #simplilearn

"How Zomato Uses Advanced Math to Deliver Your Food Hot and Fast" Ever wondered how Zomato delivers so quickly, even during peak hours? The answer lies in operations research and data-driven optimization! Here’s how Zomato’s logistics team uses advanced algorithms to streamline the process: Real-Time Route Optimization: By analyzing traffic, restaurant prep times, and demand surges, Zomato dynamically optimizes routes so riders reach you faster. Demand Forecasting: By predicting high-demand areas in advance, Zomato positions delivery partners right where they’re needed most. Smart Order Batching: In high-density zones, Zomato batches multiple orders per trip, making deliveries more efficient without sacrificing freshness. The Impact: 🚀 20% faster deliveries 🌟 Improved customer satisfaction 💰 Lower delivery costs and better efficiency Zomato shows how operations research can transform complex logistics into seamless customer experiences. 📈 Where else do you think these techniques could be applied? Let’s discuss in the comments! #SupplyChain #OperationsResearch #Zomato #FoodDelivery #Logistics #CustomerSatisfaction #DataScience #Innovation #TechInLogistics #AI

I'm excited to present Zomato's Global Expansion Project, my most recent project on #Excel! 🚀. #NewtonSchool assigned this project after completing the #Excel, which was taught by #RishabhVerma. In order to generate insights for Zomato's expansion journey, we thoroughly examined data cleaning, business suggestions, and market analysis in this endeavor. An early look at the important findings is as follows: 🔍 Data Cleaning: Zomato's enormous dataset was carefully sorted and cleaned to reveal important patterns and insights. 💡 Business Suggestions: To direct Zomato's expansion efforts, strategic recommendations were developed based on market dynamics, customer preferences, and competitive landscapes. 🏙️ Suggested Cities: The best cities in the suggested countries for new restaurant openings were determined, assuring maximum impact and growth potential. ⭐ Ratings Quality: Zomato has identified trends and patterns to help prioritize establishments of superior quality and improve customer satisfaction. 💰 Food Expenditure: Offered insights to assist Zomato in controlling financial expenditures across various countries and optimizing pricing strategies. 👥 Competitors and Ratings: Zomato stayed ahead of the competition by conducting a thorough analysis of its rivals and their ratings. 🍽️ Cuisines and Feedback: By using correlation analysis, Zomato was able to identify areas where it could expand its product line and raise customer satisfaction. 🚚 Table reservations and online delivery: Suggested upgrades to improve client satisfaction and foster loyalty via data-driven insights. 📈 Correlation Analysis: Provided Zomato's pricing strategy with insights into the relationship between price ranges and customer ratings. 📊 Distribution of Price Ranges: Through visualization, this provided insightful information about competitive positioning and market segmentation. I'm excited to take advantage of new opportunities and work with industry leaders to promote innovation and success as I continue to polish my data analysis skills. Together, let's establish a connection and start this journey! 💼 ✨ #Zomato #GlobalExpansion #DataAnalytics #excel #NewtonSchool #CareerGrowth

Few days back, I completed 2191 days(6 years) at zomato! As I look back on the past year, I'm excited to share some of the impactful projects I've had the privilege to work on: Integration of Third-Party Cash Service Aggregator Relicollect: Successfully led the integration of relicollect from product design to seamless execution. This project involved close collaboration with Legal, GRC, and taxation teams to ensure compliance and mitigate risks. This feature has helped our delivery partners to deposit the cash collected by customers directly to us. Automation of delivery partners ratecards: This task has helped in saving nearly a day bandwidth of our city teams to create a ratecard and manually upload them via a dashboard. We utilised Python (manily modules like math, pandas) and created a model that will create or predict a ratecard given on heuristic data + external factors and expose the data to services using apache kafka Development of Gig Booking Recommendations: Designed and implemented a system for providing gig booking recommendations to delivery partners based on their earning and login patterns. This initiative aimed to reduce churn, optimize onboarding costs, and enhance delivery partners' earning potential by offering personalized booking options. Building this recommendation system demonstrated my commitment to improving operational efficiency and delivering value to our partners. Here's to many more years of innovation and success! 🚀

🚀Project Completion Announcement I am delighted to announce the successful completion of my latest project, where I had the opportunity to analyze and optimize data for delivery performance and revenue insights for Zomato across major Indian cities. This project entailed a comprehensive analysis of factors such as average delivery times, revenue distribution by cuisine, and payment method preferences. Key Highlights: Optimized delivery times across cities such as Bangalore, Delhi, and Mumbai. Analyzed revenue trends for popular cuisines including Italian, Mexican, and Indian. Examined payment trends to enhance customer experience and transaction efficiency. Analyzed the Month wise Revenue and subsequently the Revenue distribution across various cities This project has been a remarkable learning experience, and I am eager to apply these insights in future endeavors. "I would like to extend my heartfelt gratitude to Mr. Shiva Vashishtha (Data Science Trainer), my Data Science Trainer, for his invaluable guidance and support throughout this project. His insights, encouragement, and dedication have been instrumental in shaping the project's direction and success. I am deeply appreciative of the time and effort he invested in helping me achieve this goal. This accomplishment would not have been possible without his expertise and mentorship." #BusinessAnalytics #DataScience #Project #Completion #Post #Feed #Zomato #Insights #LinkedIn