About Me

  • I am a motivated and teamwork-oriented Data Analyst with over three months of hands-on experience in analyzing data to drive effective business solutions. My technical proficiency includes skills in Python, SQL, and advanced Excel, enabling me to extract meaningful insights from complex datasets. I am eager to contribute to innovative projects that leverage data to inform strategic decisions.

Work Experience

Data Analyst Trainee
- Anudip Foundation
  • A non-profit organization focused on skill development and training.
  • Data Analytics Trainee at Anudip Foundation, mastering Excel, Power BI, Python (NumPy, Pandas), and MySQL for data analysis and visualization.
10/2024 - 01/2025
Offline
Python Intern
- Internshala
  • An online internship platform connecting students with various internships.
  • Completed internship focused on Python programming, developing applications using Tkinter for GUI design.
  • Gained hands-on experience in software development, debugging, and implementing core Python concepts.
10/2023 - 12/2023
Virtual

Education

High and Intermediate School - PCM
04/2017 - 06/2019
R.M.P.P.I.COLLEGE JAUNPUR
Diploma In Computer Science (UPBTE)
07/2020 - 08/2022
R.M.P.P.I.COLLEGE JAUNPUR
Bachelor of Technology - Computer Science and Engineering
07/2021 - 01/2025
Dr. Kedar Nath Modi Institute of Engineering and Technology - AKTU

Projects

Mobile Sales Dashboard
  • A project focused on sales analysis through a dynamic dashboard.
  • Created a mobile sales dashboard using Power BI, integrating data from Excel for advanced analysis and visualization of key sales metrics, trends, and performance insights.
07/2021 - 06/2025
Diwali Sales Data Analysis
  • A detailed analysis aimed at understanding sales patterns during the festival season.
  • Cleaned and preprocessed the dataset by handling missing values, removing irrelevant columns, and categorizing customers based on their spending behavior.
  • Performed exploratory data analysis (EDA) to generate key insights on customer segmentation (High Spenders vs. Low Spenders), gender distribution, and sales performance by age group and region.
  • Visualized sales distribution by gender, age group, and state using various plotting techniques, including bar plots, count plots, and interactive visualizations with Plotly.
  • Created an interactive dashboard showcasing top-performing states in terms of sales.
11/2024 - 11/2024