Help & Supportcareers@gravityer.com
Data Science with less than a year in AI & Machine Learning.
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 hands-on experience in Python, SQL, Power BI, and data visualization. Skilled in analyzing data, building interactive dashboards, and uncovering insights that support business decisions. Passionate about transforming raw data into meaningful solutions that drive growth and efficiency.
Prof. Ram Meghe Institute of Technology and Research
B.E. · Industrial Internet of Things (IIoT)
N/A – June 30, 2026
Edu-versity
Artificial Intelligence Intern
January 1, 2025 – March 1, 2025
India
Motorola Mobile Sales Performance Dashboard
November 1, 2025 – December 1, 2025
Analyzed 769M+ sales revenue, 19K+ units sold, and 4K+ transactions using KPI dashboards and trend analysis to monitor key business metrics and growth patterns. Generated an interactive Motorola Mobile Sales Dashboard in Power BI, consolidating sales, customer, and transaction data to deliver a unified view of business performance. Generated interactive reports with slicers, drill-down features, and customer/payment analytics, improving decision-making efficiency and business insight generation.
Credit Scoring Model
January 1, 2025 – March 1, 2025
Created a Credit Scoring Model using Machine Learning to predict customer creditworthiness and support loan approval decisions. Collected, cleaned, and preprocessed financial and customer data using Python, Pandas, and NumPy to improve data quality and model performance. Performed exploratory data analysis (EDA) to identify key factors influencing credit scores and borrower risk profiles. Engineered and selected relevant features to enhance model performance and improve prediction accuracy.
State-Level Finalist OpenAI x NxtWave Buildathon.
OpenAI x NxtWave
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with a Data Science role, demonstrating a clear interest and foundational skill set in the domain. The diversity of projects (credit scoring, sales dashboard) shows an ability to apply data analysis across different business contexts. The competitive programming achievement suggests a drive for continuous learning and problem-solving, which are positive indicators for cultural fit in a data-driven environment. However, the candidate is still pursuing their bachelor's degree, indicating limited real-world professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on structured problems, analyze data, and present findings. The focus on improving model accuracy and decision-making efficiency suggests a results-oriented approach. However, without direct assessment data, it's difficult to fully evaluate collaboration, stress handling, or adaptability in a professional setting.