Help & Supportcareers@gravityer.com
Data Science with less than a year in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analytics and Data Science professional with hands-on experience in Excel, SQL, Python, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis, and interactive dashboard creation to derive actionable insights. Seeking an entry-level opportunity to apply analytical and problem-solving skills in a dynamic, growth-oriented organization and contribute to data-driven decision-making.
NMAMIT, Nitte
MCA
August 1, 2023 – June 30, 2025
SDM College of Business Management, Mangalore
BCA
August 1, 2020 – June 30, 2023
I.T. Vedant
Data Science & Analytics with Artificial Intelligence
August 1, 2025 – April 1, 2026
India
E-Commerce Discount Prediction System
June 1, 2025 – June 1, 2026
Developed a machine learning-based system to predict personalized customer discounts using purchasing behavior. Performed data cleaning and feature engineering using RFM metrics (Total Spending, Frequency, Quantity). Designed a business-driven discount strategy ensuring higher discounts for high-value customers. Applied feature scaling and trained a Random Forest Regressor for accurate and continuous predictions. Evaluated model performance using MAE, RMSE, and R2 Score. Built and deployed a Streamlit web application for real-time discount prediction.
Excel Employee Sales Dashboard
June 1, 2025 – June 1, 2026
Analyzed sales and profit data across regions, categories, and time periods to identify key trends. Cleaned and transformed data using Advanced Excel functions to ensure accuracy. Developed an interactive Excel dashboard using Pivot Tables, charts, and slicers for dynamic analysis. Tracked KPIs such as sales, profit, and salesperson performance to support data-driven decisions.
Power BI DMart Sales Analysis
June 1, 2025 – June 1, 2026
Created an interactive Power BI dashboard to analyze sales, profit, and quantity across categories, regions, and time periods. Performed data modeling and developed DAX measures to calculate KPIs such as total sales, profit margin, and growth trends. Designed dynamic visuals with slicers and filters to enable drill-down analysis and business insights.
Power BI E-Commerce Sales Analysis
June 1, 2025 – June 1, 2026
Designed a Power BI dashboard to monitor order volume, year-to-date sales, total sales amount, and target achievement through summary KPI cards. Developed data relationships and DAX calculations to compare actual sales against targets and observe monthly sales movement across product categories. Evaluated category, sub-category, and state-wise performance using interactive charts and slicers to support business decision-making.
Advanced Excel, SQL, and Power BI, Tableau, Python Certification
Itvedant Education Pvt Ltd
June 1, 2026 – Present
The Complete Python Bootcamp from Zero to Expert
Sara Academy
June 1, 2026 – Present
Python 101 for Data Science
IBM Developer Skills Network
March 1, 2026 – Present
Data Analysis with Python
IBM Developer Skills Network
March 1, 2026 – Present
Introduction to Data Analytics
IBM
August 18, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. The diversity of projects, ranging from predictive systems to sales analysis dashboards, indicates adaptability and a broad interest in different data applications. The professional training and multiple certifications highlight a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. However, the lack of professional experience beyond training means their ability to collaborate in a corporate setting and handle real-world project complexities is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem-Solving, Data-Driven Decision Making, and Attention to Detail, which are crucial for a Data Science role. Their project work demonstrates an ability to translate business requirements into analytical solutions, indicating a good operational fit for roles requiring practical application of data science principles. The academic projects show initiative and a structured approach to problem-solving.