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 Science with 1+ years in Data Analysis & Machine Learning
Aspiring Data Analyst and results-driven computer science engineering graduate with strong skills in machine learning, data analysis, and statistics. Experienced in collecting, cleaning, and interpreting large datasets to generate actionable insights that support data-driven decisions. Proficient in Python, SQL, Excel, and Power BI, with hands-on experience developing machine learning models and AI solutions. Skilled in cross-functional collaboration, data storytelling, and applying analytical thinking to create effective, innovative solutions. Motivated to contribute to advancements in AI and machine learning while supporting organizational growth.
APJ Abdul Kalam Technological University
BTech · Computer Science
August 1, 2022 – June 30, 2026
Analysis of Factors Affecting Student Academic Performance
January 1, 2025 – June 30, 2026
Performed data cleaning and preprocessing on student performance datasets by handling missing values and standardizing data formats to improve data quality. Conducted exploratory data analysis (EDA) using Python libraries such as Pandas and NumPy to examine relationships between demographic and academic variables. Created data visualizations using Matplotlib and Seaborn to analyze patterns in student performance across factors such as gender, parental education level, and test preparation. Generated insights from the dataset to better understand factors affecting student performance and academic results.
View ProjectBike Sales Data Analysis Using Excel and Power BI
January 1, 2025 – June 30, 2026
Conducted large-scale data cleaning and preprocessing in Microsoft Excel, standardizing categorical fields and resolving inconsistencies to improve dataset reliability. Built an interactive Power BI dashboard to visualize key performance metrics, including regional sales trends and purchase rates. Performed customer segmentation analysis using demographic attributes such as age, income, and marital status. Generated actionable insights for targeted marketing strategies and identification of ideal customer profiles.
View ProjectAI - Driven Data Analytics Foundational
Illinois Tech, NSDC
August 1, 2025 – Present
Python for Data Science
NPTEL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science techniques. The certifications from reputable institutions (Illinois Tech, NPTEL) indicate a commitment to continuous skill development. The project diversity, though academic, shows an ability to apply skills across different datasets (student performance, bike sales), which aligns with a growth-oriented culture. The target role of Data Science is well-aligned with the candidate's stated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills and analytical thinking through project execution. The resume highlights attention to detail in data cleaning and effective communication in data storytelling and presentation. These attributes suggest a positive operational fit, particularly in roles requiring data interpretation and stakeholder communication.