Rituraj Deb

Rituraj Deb

Software Engineer

Followers of Rituraj Deb376 followers
location of Rituraj DebSouth Korea

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  • Timeline

  • About me

    Data Analyst Enthusiast | Python | | pandas | SQL | PowerBI | Machine Learning | Tableau | Statistics

  • Education

    • Royal Global University

      2021 - 2023
      Master of Computer Applications - MCA Computer Science 8.33
    • Garden City University

      2018 - 2021
      Bachelor's degree Computer Science 8.56
  • Experience

    • Tech Savvy Software & Security Consultancy

      Feb 2023 - May 2023
      Software Engineer

      • Converting UI/UX designs into functional websites using HTML,CSS and javascript. • Using responsive design principles to make sure website function property across a range offscreen size anddevices. • Testing web apps for usability ,functionality, browser and device compatibility. Debugging issues as theyarise.

    • Learnvista Private Limited

      Jul 2024 - now
      Data Analyst

      Marketing Campaign Data Analysis  Clean and preprocess raw data by correcting inconsistencies, handling missing values to ensure that the data is accurate andreliable for analysis.  Using Python, specifically libraries like Pandas, Matplotlib, and Seaborn, to perform exploratory data analysis (EDA) onmarketing campaign data for identifying trends, patterns, and campaign performance within the dataset. This includes analyzingthe effectiveness of various marketing campaigns by looking at metrics such as customer acquisition cost (CAC), return oninvestment (ROI), and conversion rates. Using PowerBI to create interactive dashboards and visual reports use for displayingvisual representations of marketing campaign results. Credit card and Personal Loan Details Analysis  Performing data cleaning tasks to ensure datasets are free of errors, inconsistencies, and outliers. This involves handling missingvalues, duplicate entries,flagging data issues that could impact the results of analyses, such as improperly formatted dates orincorrect data types, and working to resolve them.  Examining credit card usage over time to identify peak spending periods, preferred payment methods, and customer behaviorsrelated to spending limits. Exploring loan data to identify trends in delinquency, prepayment behavior, loan history and otherdetails that affect loan performance.Collaborating with seniors to identify high-risk customers and potential fraud by analyzingtransaction patterns and credit behavior.Creating visually compelling reports and dashboards using PowerBI to help stakeholdersunderstand key insights related to credit card and personal loan details. Show less

  • Licenses & Certifications

    • Statistics and Machine Learning for Data Science

      Learnbay
      Feb 2025
    • The ultimate guide in becoming a SQL server DBA

      Udemy
      Oct 2019
      View certificate certificate
    • Data analysis advance mysql

      Udemy
      Oct 2020
    • The ultimate MYSQL bootcamp

      Udemy
      May 2020
      View certificate certificate
    • Python for data science

      Learnbay
      Jan 2025