Pavithra Ashokan

🎉 After 11 months of diving deep into data, coding challenges, and statistical mysteries, I've officially completed my Higher Diploma in Science in Data Analytics at National College of Ireland! From uncovering insights with Business Intelligence to navigating the complexities of Machine Learning and Databases, this journey has been both challenging and rewarding. It’s been an eye-opener into how data shapes our world, and I'm excited to apply these skills to real-world problems. Ready to tackle new data adventures while keeping my trusty spreadsheets and advanced tools by my side. Cheers to new beginnings and the end of study-induced social isolation! 🥳. A big thank you to everyone who supported me along the way 🙌🏼. #DataAnalytics #NextChapter #BusinessIntelligence #MachineLearning #Statistics #DataGovernance #Databases #SocialIsolationIsOver 🚀✨

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hello data aspirants out there, I am thrilled to share that I have successfully completed the Data Science Internship at InternIQ! Over the past few months, I've had the incredible opportunity to dive deep into the world of data science, honing my skills in: Data Analysis Python Programming Machine Learning Data Visualization Statistical Modeling This journey has been both challenging and rewarding, allowing me to work on real-world projects, collaborate with a talented team, and learn from some of the best in the industry. A huge thank you to the amazing mentors and colleagues at InternIQ who have supported and guided me throughout this experience. Key highlights from my internship include: ✅ Developing predictive models to analyze market trends ✅ Creating interactive dashboards to visualize complex datasets ✅ Implementing machine learning algorithms to solve business problems I am incredibly grateful for this experience and excited to apply these skills in my future endeavors. If you're looking for a passionate data enthusiast to join your team or collaborate on projects, feel free to connect with me! #DataScience #Internship #InternIQ #MachineLearning #Python #DataAnalysis #CareerGrowth

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🚀 Excited to share that I've completed the Data Analyst with Python track on DataCamp! 🎉 Huge thanks to National College of Ireland for providing me with this incredible opportunity to enhance my skills in data analysis. 🙏 Throughout this journey, I delved into the world of Python programming - starting from scratch and mastering essential techniques in importing, cleaning, manipulating, and visualizing data. 💻📊 I explored popular Python libraries like pandas, NumPy, Seaborn, and more, gaining hands-on experience that's crucial for any aspiring data professional or researcher. The interactive exercises and real-world datasets challenged me to sharpen my data manipulation and exploratory analysis skills. From joining data to hypothesis testing, each module expanded my understanding and proficiency in Python for data analysis. Excited to apply these newfound skills in real-world scenarios and continue growing as a data analyst! 🌟 #DataAnalyst #Python #DataCamp #NationalCollegeOfIreland #DataAnalysis #DataSkills #CareerGrowth #PythonProgramming #DataVisualization #Statistics

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I am excited to share that I have successfully completed my 3rd task at Oasis Infobyte! This project involved cleaning and standardizing the Airbnb dataset for New York City, and I am thrilled with the results. Key Insights from the Task: Data Cleaning: I replaced missing 'price' values with the mean, ensuring that the dataset is robust and reliable. Duplicates were removed, and string columns were standardized for consistency. Geographical Validation: I conducted thorough checks to ensure that all latitude and longitude values were valid, which is crucial for any geographical analysis. Outlier Detection: Using Z-score and IQR methods, I identified and removed outliers in the 'price' column. This step was essential to maintain the integrity of the data and provide accurate insights. Final Dataset: The cleaned dataset now contains 36,707 entries across 16 columns, with no missing values in critical fields such as price, latitude, or longitude. It has been saved as 'cleaned_dataset.csv' for future analysis. This experience has not only enhanced my data cleaning skills but also deepened my understanding of data integrity and its importance in analytics. I look forward to applying these insights in future projects! #DataScience #DataCleaning #Airbnb #OasisInfobyte #Analytics #LearningJourney

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🚀 Excited to share my latest project as part of my data analytics internship at VerveBridge! 🌟 Task 2: Aviva R&A MI Report Analysis 📊 🔍 Overview: Conducted a comprehensive analysis of Aviva's reports to derive actionable insights and support decision-making processes. 💼 Tools & Technologies: Excel: Data cleaning, preprocessing, and preliminary analysis SQL: Database querying and data extraction Power BI: Data visualization and interactive dashboard creation 📈 Key Highlights: Analyzed sales performance, customer demographics, and policy trends. Identified key metrics and KPIs to track business performance. Created dynamic dashboards to visualize data insights, making it easier for stakeholders to interpret complex data. 💡 This experience has been invaluable in honing my data analysis and visualization skills, and I’m thrilled to apply these insights to drive business growth and efficiency. GIT HUB REPO:https://lnkd.in/drGxA4ND VerveBridge

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🎓 Exciting Announcement: Completed Google Advanced Data Analytics Certification! 🚀 I am thrilled to announce that I have completed the Google Advanced Data Analytics certification, a significant achievement considering my hectic schedule, and balancing classes, coursework and part-time. Throughout this comprehensive program, I explored intricate areas of machine learning models, regression, classification, and beyond. 🔍 From unraveling the complexities of machine learning algorithms to mastering regression analysis for predictive modeling, every lesson enhanced my proficiency. 📈 Additionally, the exploration of classification techniques has paved the way for more informed decision-making processes. 📊 The highlight of this course was undoubtedly the capstone project. 🌟 Designed to simulate real-world challenges, this project provided hands-on experience with actual datasets, requiring meticulous data preprocessing, model selection, and evaluation. It was a true test of my skills and determination. 💼💡 Completing this certificate has not only broadened my expertise but also equipped me with the resilience and adaptability to tackle real-world challenges head-on. 🌐 Armed with this newfound knowledge, I am eager to drive impactful change and innovation in the dynamic field of data analytics. Onwards and up! #DataAnalytics #MachineLearning #GoogleCertification #CapstoneProject #RealWorldDataAnalysis

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I am excited to share that I’ve successfully completed Task 4 of my project 'Sales Prediction' at Encryptix as a Data Science Intern, laying the groundwork for an innovative machine learning application. This phase involved rigorous data analysis and model selection to ensure accurate predictions and valuable insights. * Development and comparison various predictive models in the domain of Sales Prediction. * Aim to identify the most accurate model(s) based on their performance metrics and then apply the best-performing model to predict outcomes for new, unseen data. * This process likely includes data preprocessing, feature selection, model training, validation, and testing phases, Data Visualisation followed by an evaluation of the models’ predictive power and generalizability to new data. It’s a practical application of machine learning techniques to assess and predict the entertainment industry trends. #MachineLearning #DataScience #ProjectUpdate #Encryptix #internship #DataScienceIntern

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Excellent learning experience completing this project as part of the Exploratory Data Analysis using Python course in the PGPDSE-FT program at Great Learning. A new football club named ‘Brussels United FC’ has just been inaugurated & the team is looking to hire players for their roster. Management wants to make such decisions using data-based approach. Player data for all teams has been acquired from FIFA. The data contains details for over 18,000 players playing in various football clubs in Europe. It contains information on age, skill rating, wages and player value, etc. in the files named fifa.csv which is data file and fifa_variable_information.cs #HandsOnProject, #ITP, #NPVandEDA, #MyGreatLearning

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🎉 Excited to share that I have successfully completed my data analytics internship! 🎉 Over the past few days, I have worked on several exciting projects, including sentiment analysis, chatbots, and exploratory data analysis. This internship has provided me with invaluable experience and skills that I am eager to apply in future endeavors. Thank you,Slash Mark IT Startup , for providing such an enriching and supportive environment. I am eager to take the next steps in my data analytics journey and explore new opportunities ahead. #internship #dataanalytics #sentimentanalysis #chatbots #EDA #machinelearning #artificialintelligence

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Documenting The Data Journey So Far: ♻️ It's been 3 month since I started my Data Analytics journey and I recently thought of documenting the process here on LinkedIn. I am currently on Module 8 out of 10 in my data analytics course with Cisco Networking Academy. ♻️ Recently, I completed an Accenture project sim on Forage to gain hands on and real life experience analysing data for a fast growing tech company; (watch video in my penultimate post) ♻️ I'm currently taking a Tata Group project sim to help provide real-time business analysis for an online retail store. ♻️ So far, I have learned: * Excel: The use of basic functions in excel to clean, organize, and prepare data for analysis. How to use pivot tables and different charts in visualizing data and I have demonstrated this skill on the course, my project sim on Forage and the one I'm currently taking with Tata Group * Data understanding: by properly understanding the data structure, I am able to conduct proper analysis that turns out clean results. * Detailed report writing and presentation: Demobstrated this skill on the Accenture job sim through presentation of analysis and insights for Fast growing Tech company. (Watch video in my last post). * Data Visualization: So far I have used the column chart, bar chart, pie chart, and map chart in providing clear and simple data visualizations. * SQL: Currently learning basic SQL functions such as SELECT, FROM, WHERE to query for large databases. Other skills I have garnered include: critical and analytical thinking, tableau(basic) data modelling, data analysis, data cleanup amongst others. With my passion for data and keen interest to learn and grow professionally in the field, I'll keep improving,and documenting my journey. 🫠 Satori Analytics Michael Georgakopoulos Accenture SmartestEnergy Blue Orange Digital Caroline Helwig Dudley Vipsa Bhalani, M.Tech, MBA Cisco Networking Academy Catarina Valente GR8 Tech Workling Padelis Kollias #dataanalysis #datavisualization #SQL #tableau #Excel #dataanalytics

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🎉 Excited to Share My Latest Project! 📊 Hello LinkedIn Community, I am thrilled to announce the completion of my latest project: an interactive Amazon Prime Dashboard created using Tableau! This dashboard provides detailed insights into movies and TV shows available on Amazon Prime, helping users explore and analyse content more efficiently. Check out the dashboard in action here 🔗 :- https://lnkd.in/ennSNTQ4 Check out my other projects here 🔗 :- https://lnkd.in/eWTwYVDi 🚀 Impact and Benefits: For Viewers: Quickly find and choose the best content tailored to personal preferences. For Analysts: Gain valuable insights into viewing trends and audience preferences. For Content Creators: Identify gaps and opportunities in the current content offerings. 🔍 Key Features: Comprehensive Data Visualization: Easily navigate through a wide array of movies and TV shows using visually appealing and intuitive charts. Detailed Analytics: Dive into ratings, genres, release dates and description for a better understanding of content trends. User-Friendly Interface: The dashboard is designed to be accessible to all, from casual viewers to data enthusiasts. Custom Filters and Views: Tailor your exploration with customizable filters based on genre, rating, year, and more.

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Excited to Announce My Latest Milestone! I am thrilled to share that I have successfully completed the 'Data Visualization with Python' course on DataCamp! This course has equipped me with the knowledge and skills to leverage Python's most popular and robust data visualization libraries, including Matplotlib, Seaborn, Bokeh, and more. 📊 I've learned how to create stunning static and interactive visualizations for categorical, aggregated, and geospatial data. This journey has been incredibly rewarding, and I am eager to dive deeper into Visualizing Geospatial Data in Python. A big shoutout to DataCamp for their excellent resources and support. Onward and upward! 🌟 #DataScience #Python #DataVisualization #Matplotlib #Seaborn #Bokeh #GeospatialData #LearningJourney #DataCamp

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I’ve successfully completed an SQL Intermediate course and received my certification! 📜This course has significantly enhanced my SQL skills, enabling me to tackle complex queries and optimize database management. #SQL #DatabaseManagement

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Thrilled to announce the successful completion of my second internship project at CodeClause: 'Demand Forecasting for a Retail Store'. Develop a time series forecasting model to predict the demand for products in a retail store. Use historical sales data to forecast future demand, considering seasonality and trends. This project has been an immersive dive into the realm of data analysis and business intelligence. With this project, I enhanced my skills in Python, Pandas, and Statsmodels by developing a robust time series machine learning model. I extend my heartfelt gratitude to CodeClause for this invaluable opportunity and eagerly anticipate applying these newfound skills and insights in my future endeavors. hashtag #DataAnalysis hashtag #MachineLearning hashtag #Internship hashtag #InternshipDiaries hashtag #CodeClause hashtag #ProjectCompletion GitHub :https://lnkd.in/d7QdRZiq

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I am very much excited to unveil my first project on Pizza Sales Analysis using SQL 🍕! I would like to extend my gratitude to WsCube Tech and Ayushi Jain for their invaluable assistance and guidance throughout this project. This project was not only an opportunity to refine my SQL skills but also a chance to see the direct impact of data analytics on business decision-making. The potential of SQL to provide such actionable insights is truly inspiring,  and I am eager to hunt through even deeper into this field. The entire process involved the following steps: 1. Gathered data from multiple Csv files and put it all in one place using SQL server after unzipping folder. 2. Cleaned up the data to remove any junk or missing fields, making sure we're working with quality data. 3. Organized the data in a proper way to understand how different factors related to each other, like Highest-Priced Pizza. 4. Used SQL commands to find various activities, finding insights like total sales, Most Common Pizza Size, Highest-Priced Pizza, Category-Wise Pizza Distribution, Cumulative Revenue Analysis, Orders Distribution by Hour, Average orders, and more. 5. By combining data in the Model View from different tables, we could see the huge Sales of Pizza. 6. Grouping and Sorting the data helped us to spot trends and figure out the needs to change for making more profit. 7. Lastly, images were added and background had been decorated to visualize more attractive our presentation. I would love to hear from my network/connections—especially those who are seasoned in SQL—about any tips or tricks that could further enhance my understanding and efficiency. 😊 Please feel free to share your experiences or advice in the comments! 🙏 #SQL #DataAnalysis #SalesOptimization #SQLQuery #Businessinsights #PizzaInsights #PizzaHutsales #SQLAdventure #SQLMagic #Businessintellegence

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I have recently completed an Introduction to Tableau course, marking the final step in my Business Analytics journey. This experience has not only enhanced my analytical skills but also deepened my appreciation for the power of data. Through this course, I've gained a profound understanding of how effectively data can be visualized and presented in Tableau. The ability to transform complex datasets into clear and actionable insights is truly remarkable, and mastering this tool has been a transformative part of my learning journey. As I reflect on this milestone, I am more convinced than ever that the right data, when beautifully presented, can drive decision-making and foster innovative solutions. I am excited to leverage these skills to bring value to my current and future projects, helping organizations make data-driven decisions with clarity and impact. #BusinessAnalytics #DataVisualization #Tableau #CareerDevelopment #LifelongLearning

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Okay, that was a little bit more of a pain to go through, but I still did it. This course took me through the Pandas library, with a greater focus on manipulating a DataFrame through Python. In the lessons "Summary Functions and Maps" and "Grouping and Sorting," I couldn't really wrap my head around the significance of "lambda" in Pandas, and the wording of certain exercises didn't exactly tell me what I had to do. I also still found I had some difficulty with the .agg() method, which can call multiple defined, chosen functions on a DataFrame. In the future, I'll see if I can practice the use of these two a lot more. There also seemed to be some deprecated methods and techniques for which Colab was showing error messages. Still got 13 more to go.

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Excited to share that I've completed my Power BI training! Looking forward to applying these skills to drive data-driven decisions. #SIRTCollege #SageWinterSchool #PowerBI #DataAnalytics #ProfessionalGrowth #Data

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It's been a month already!  I’m thrilled to share that I’ve embarked on Master of Science in Data and Computational Science at the University College Dublin (UCD)!!! This program has already proven to be the perfect avenue for deepening my understanding of advanced data analytics, data-driven insights, and strategic decision-making. As I dive deeper into the course, I look forward to embracing new challenges and connecting with like-minded professionals who share the passion for data. #DataAnalytics #UCD

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