Data Science with 1+ years in Data Analysis & Reporting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and result-driven MIS Executive with strong skills in Advanced Excel, Power BI, MySQL, and Data Analysis. Experienced in handling large-scale data (up to 2,000+ weekly records), creating dashboards, automating reports, and conducting trend/ratio analysis. Seeking a challenging role where I can contribute in data-driven decision-making, reporting automation, and performance analysis to support business growth.
Delhi University
M.A. English · English
August 1, 2023 – June 30, 2025
Delhi University, Kalindi College
B.A. Sanskrit (Hons.) · Sanskrit
August 1, 2019 – June 30, 2022
CBSE
10th
N/A – May 31, 2017
CBSE
12th
N/A – May 31, 2019
The Music & Dance School Name
MIS & Data Reporting Executive
December 1, 2022 – March 1, 2024
Delhi, Delhi, India
Data Analyst Training
Ducat
February 1, 2025 – September 1, 2025
Advanced Diploma in Computer Applications (ADCA)
UCI Institute
April 1, 2024 – March 1, 2025
Cultural Fit Analysis
The candidate's experience in a music and dance school, while not directly in a tech-heavy industry, shows adaptability and the ability to apply data analysis skills in diverse environments. The role involved direct contributions to business growth through reporting and promotional ideas, indicating a results-oriented approach. The pursuit of data analyst training and an ADCA certification demonstrates a proactive attitude towards skill development and career transition into data science, aligning with a culture of continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing large datasets and maintaining student records. Their experience in automating reports and conducting analysis suggests a detail-oriented and problem-solving approach. The ability to suggest and implement promotional ideas indicates a proactive and business-aware mindset. However, the academic background in non-technical fields might suggest a learning curve for advanced theoretical data science concepts.