Help & Supportcareers@gravityer.com
Data with less than a year in Data Analysis & Visualization.
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 analytical aspiring Data Analyst with a solid background in data analysis, visualization, and database management. Skilled in Python, SQL, Power BI, and Tableau, with practical experience in data cleaning, data storytelling, and generating actionable insights. Strong academic grounding in Economics and Mathematics with hands-on project experience solving real-world problems using analytical tools. Committed to applying technical skills and critical thinking to support data-driven decisions in a collaborative, team-oriented environment.
DAVV University
Masters in Economics · Economics
August 1, 2020 – June 30, 2022
Jiwaji University
Bachelor of Science · Mathematics, Physics, Chemistry
August 1, 2016 – June 30, 2019
Nath Outsourcing Solutions Pvt. Ltd.
Data Analyst
October 1, 2025 – Present
Mohali, Punjab, India
Smarg Technologies Pvt. Ltd.
Data Annotation Internship
July 1, 2025 – September 30, 2025
Indore, Madhya Pradesh, India
Airplane Authority Project
June 1, 2026 – Present
This project involved analyzing operational data of an Airplane Authority to gain insights into flight performance, passenger traffic, delay patterns, and resource utilization. The aim was to assist decision-makers in optimizing scheduling, improving on-time performance, and enhancing passenger experience.
Covid 19 Analysis Project
June 1, 2026 – Present
It focused on exploring, analyzing, and visualizing global and regional COVID-19 data to understand the spread, mortality rates, recovery trends, and vaccination progress. The goal was to provide actionable insights to support public health decision-making and raise awareness using data-driven stories.
Customer Churn Analysis Project
June 1, 2026 – Present
It aimed to identify factors contributing to customer attrition and predict which customers are most likely to churn. By leveraging historical customer data, the project helped the business develop strategies to improve customer retention and reduce revenue loss.
IDMB movies Project
June 1, 2026 – Present
It focused on exploring and analyzing movie-related data to uncover insights about ratings, genres, popularity trends, and influential factors behind successful movies. The objective was to help film enthusiasts, producers, and analysts make data-driven decisions in the film industry.
Life Expectancy Project
June 1, 2026 – Present
It involved examining global health and economic data to understand the factors influencing life expectancy in different countries. The main goal was to uncover relationships between life expectancy and variables such as GDP, healthcare spending, education, and lifestyle indicators.
CloudyML Data Analyst
CloudyML
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
SQL & MySQL Fundamentals
Unknown
June 1, 2026 – Present
Power BI Basics & Projects
Unknown
June 1, 2026 – Present
Tableau for Beginners
Unknown
June 1, 2026 – Present
MS Excel
Unknown
June 1, 2026 – Present
C++ Learning - Professional Courses Completed
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse topics (health, economics, entertainment, business operations), indicating a broad interest in applying data analysis across different domains. The target role is 'Data', which aligns well with the candidate's stated skills and experience as a Data Analyst. The breadth of tools and techniques mentioned (Python, SQL, Power BI, Tableau, Excel) suggests adaptability and a willingness to learn, contributing positively to cultural fit in a dynamic data team.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail, communication skills, and the ability to meet deadlines in a fast-paced environment. They have experience collaborating with team members and participating in discussions, indicating a team-oriented approach. The academic projects and internship show a commitment to applying analytical skills to real-world problems, which aligns with operational needs for data-driven decision-making.