Rashi Gupta

Rashi Gupta

About

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Pursuing MBA In the field of Business analyst
Gwalior, Madhya Pradesh, India

Timeline

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Résumé

Jobs verified_user 0% verified
  • Redient Security
    Human Resources Intern
    Redient Security
    Jul 2026 - Current (1 month)
    Starting a intership in resident security
  • Learnx
    Human Resources Marketing Manager
    Learnx
    Jun 2026 - Jul 2026 (2 months)
    I am delighted to share that I have been appointed as an HRM Intern at Lernx. This opportunity will allow me to enhance my skills in recruitment, candidate hiring, interview conduction, talent acquisition, and team management.
  • CloudMint Solutions
    Human Resources Specialist
    CloudMint Solutions
    Dec 2025 - Mar 2026 (4 months)
    Human Resources Specialist intern
  • CodeAlpha
    Python Developer
    CodeAlpha
    Sep 2024 - Oct 2024 (2 months)
    i have done my intership with cod alpha 😄
Education verified_user 0% verified
  • Prestige Institute of Management Research Gwalior
    Master of Business Administration - MBA, Business Administration and Management, General
    Prestige Institute of Management Research Gwalior
    Jan 2025 - Jul 2026 (1 year 7 months)
    business analyst
  • Vijayaraje Govt Girls PG College
    Bachelor of Commerce, Computer Programming, Specific Applications
    Vijayaraje Govt Girls PG College
    Jan 2024 - Dec 2024 (1 year)
  • B
    Bright convert higher secondary school
    Bright convert higher secondary school
    Jan 2022 - Jan 2023 (1 year 1 month)
  • B
    High School Diploma
    Bright convert higher secondary school
    Jan 2020
  • Jiwaji University
    Bachelor of Commerce
    Jiwaji University
Projects (professional or personal) verified_user 0% verified
  • c
    customer analysis Analyzed customer data, built Logistic Regression & Decision Tree models, a Analyzed customer data,
    Mar 2026 - Current (5 months)
    Performed customer churn analysis using R to identify key factors influencing customer retention. Applied data preprocessing techniques including handling missing values, encoding categorical variables, and creating tenure-based segments. Conducted statistical analysis using summary statistics, correlation, histograms, and boxplots. Built predictive models using Logistic Regression and Decision Tree to classify churn behavior. Evaluated model performance using confusion matrix, accuracy, precision, recall, and ROC curve. Provided business insights to reduce churn and improve customer retention strategies.
  • e
    employee segmentation using ml target campaign
    Jan 2026 - Mar 2026 (3 months)
    This project focuses on analyzing employee feedback data to understand employee sentiments and organizational behavior. The system uses data analysis and machine learning techniques to classify and interpret employee opinions into meaningful insights. The dataset contains both structured and unstructured data such as employee details, feedback, and ratings. Data preprocessing techniques like handling missing values and encoding categorical variables were applied to prepare the dataset for analysis. Statistical tools such as mean, median, standard deviation, and correlation were used to understand data distribution and relationships between variables. Visualization techniques like scatter plots were used to identify patterns and trends. A ma
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