Help & Supportcareers@gravityer.com
Data Science with less than a year in data analysis and visualization using Python and Tableau.
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 Data Science enthusiast with practical experience in data analysis, visualization, and storytelling using real-world datasets. Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn), Jupyter Notebook, and Tableau. Passionate about uncovering insights, solving complex problems, and driving data-driven decision-making through meaningful analysis and visualization.
Silver Oak University
B.Tech · Computer Engineering
January 1, 2021 – January 1, 2025
Financial Market Analysis
June 21, 2026 – Present
Conducted time-series analysis on stock market data to forecast price movements and evaluate investment opportunities.
SQL Project Airbnb - Hospitality Intelligence Hub
June 21, 2026 – Present
Developed an end-to-end Airbnb hospitality analysis project using SQL, involving data import, querying listings and booking details, and extracting key business insights.
Netflix Data Analysis
June 21, 2026 – Present
Analyzed Netflix's dataset to extract insights about content trends, genres, release timelines, and ratings.
Tableau Project Epic Games - Gaming Analytics
June 21, 2026 – Present
Designed an interactive Tableau dashboard to analyze Epic Games' data, highlighting user trends, sales performance, and key business insights
Data science program
Fingertips
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse data domains (finance, entertainment, hospitality, gaming), suggesting adaptability. The pursuit of a data science program indicates a proactive learning attitude. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's 'About Me' section highlights problem-solving, critical thinking, and communication, which are positive indicators for operational fit. However, without direct work experience or psychometric test results, it's difficult to fully assess these soft skills in a professional context.