Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in Data Analysis & Business Intelligence
Highly analytical and results-driven professional with a background in Mechanical Engineering and a strong passion for data analysis. Possessing 0.5 years of experience across sales and data analysis, I excel in market research, data visualization, and generating actionable insights. Proven ability to leverage tools like Python, SQL, and Tableau to solve complex business problems and contribute to strategic decision-making. Eager to apply analytical skills and technical expertise to drive innovation and efficiency in a challenging role.
IIT (ISM) Dhanbad
Bachelor of Technology · Mechanical Engineering
August 1, 2021 – June 30, 2025
CHILDREN'S GARDEN SCHOOL
Senior Secondary education
June 1, 2018 – May 31, 2020
DAV PUBLIC SCHOOL
Secondary education
June 1, 2016 – May 31, 2018
Sales Partners
Trainee Manager
May 1, 2025 – July 1, 2025
Mumbai, Maharashtra, India
My Analytical School
Data & Business analyst intern
June 1, 2023 – July 1, 2023
India
QuickRide Monetization and User Retention Enhancement.(Case Study)
August 1, 2023 – June 1, 2026
Worked on problem statement that finding reasons of drop in retention and revenue for QuickRide. Conducting RCA and find out multiple flaws in User journey of booking and main problem is Car poolers make a pact outside QuickRide to share their vehicle. Proposed monetization-focused solution, including dynamic pricing, reward for ride delays, Emergency & safety checkpoints etc. through GTM strategy and success Matrics.
Data Analysis on Employee Data using Tableau-SQL integration
August 1, 2023 – June 1, 2026
Performed joins, views, subqueries, and other queries to analyze department-specific KPIs, including salary, employee count, gender ratio, and span of control. Migrated data and structured charts into an interactive dashboard in Tableau Public for enhanced visualization.
Starbucks Customer Segmentation
August 1, 2023 – June 1, 2026
Consolidated and processed three datasets containing over 300,000 entries, ensuring data cleanliness and merging where necessary. Conducted EDA and applied PCA to reduce dimensionality. Applied data-driven insights using PCA and K-means clustering to segment customers, optimizing targeted marketing efforts and improving overall cost-efficiency. Supported strategic decision-making by providing a clear framework for process optimization in customer outreach, contributing to the company's operational efficiency and sales growth.
Cultural Fit Analysis
The candidate's academic background in Mechanical Engineering combined with self-driven data analysis projects and an internship suggests a proactive and adaptable individual. Participation in case competitions and club leadership roles indicates a collaborative spirit and initiative. The diversity of projects, from monetization strategies to customer segmentation, shows a broad interest in applying data to various business problems, which aligns well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate shows potential in problem-solving, leadership, and communication, as evidenced by project descriptions and positions of responsibility. Their academic projects indicate an ability to work through complex problems and present solutions. The 'Trainee Manager' role, though short, suggests exposure to sales strategy and customer engagement, which could translate to understanding business needs in a data analyst role.