Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data analytics, machine learning, and business intelligence.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated B.Tech student pursuing a degree from IIT (BHU) Varanasi, with a keen interest in Data Analytics, Machine Learning, and Problem Solving. Possesses foundational skills in Python, SQL, and various data manipulation and visualization tools. Completed a Data Analyst internship at Zeus Solutions, contributing to revenue projection, dashboard development, and data pipeline automation. Demonstrated ability to execute impactful projects such as Credit Card Fraud Detection, Stock Price Prediction, and Ola Ride Data Analytics, showcasing strong analytical and technical capabilities.
Indian Institute of Technology (BHU), Varanasi
B.Tech (IDD)
N/A – June 30, 2026
Navjeevan Aca Sr Sec Sch, Near Housing Board, Sikar
12th CBSE
N/A – May 31, 2019
Zeus Solutions
Data Analyst Intern
May 1, 2025 – July 1, 2025
India
Credit Card Fraud Detection using ML
June 27, 2026 – Present
• Conducted Exploratory Data Analysis (EDA), Univariate Analysis, Bivariate Analysis and Data Visualization. • Utilized ML Algorithms such as K-Nearest Neighbours, Logistic Regression and Support Vector Machine. • Performed Hyperparameter Optimization using Grid Search, achieving classification recall of 94%. • Evaluated and compared model performance on the basis of F1 Scores, Confusion Matrix and ROC Curve.
Stock Price Prediction with ARIMA
June 27, 2026 – Present
• Implemented Time Series forecasting model using Python and ARIMA to predict stock price and sales trends, leveraging Pandas, NumPy, and Stats Model for efficient data preprocessing and model training. • Optimized forecast accuracy by ADF test for data differencing & analyzing ACF/PACF to reduce forecast error. • Achieved low forecast error with MAE of 3.13% and RMSE of 11.13%, validating model reliability and error distribution.
Ola Ride Data Analytics
June 27, 2026 – Present
• Engineered 10 SQL views on 103,024 ride records to analyze booking success (62%) and cancellations (28%). • Analyzed payment trends across 7 vehicle types, identifying key revenue and demand patterns. • Built a 5-page Power BI dashboard visualizing INR 35M+ revenue across payment methods and ratings. • Identified driver-side cancellations (17.89%) as primary revenue leakage across 28,933 rides. • Performed customer segmentation to rank top-5 high-value customers, supporting retention strategy.
Cultural Fit Analysis
The candidate's academic projects show a strong interest in data analytics and machine learning, aligning well with a Data Analyst role. The diversity of projects (fraud detection, stock prediction, ride analytics) indicates adaptability and a broad interest in applying data science to different domains. Participation in extracurricular activities and leadership roles suggests a proactive and engaged individual. The internship experience further solidifies the practical application of skills in a business context. Overall, the candidate appears to be a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through project work, identifying revenue leakage and optimizing forecast accuracy. Collaboration with cross-functional teams is mentioned in the internship, indicating an ability to work in a team environment. The leadership roles (Marketing Manager, Induction Mentor) suggest initiative and responsibility. However, without specific assessment data, the depth of these soft skills and operational fit cannot be fully ascertained.