Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, Pandas & 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-driven Computer Science undergraduate with strong foundations in data analysis, machine learning, and statistical modeling. Experienced in working with real-world datasets using Python, Pandas, NumPy, and Scikit-learn to extract insights and build predictive models. Skilled in data cleaning, feature engineering, and data visualization. Familiar with deploying data applications using Streamlit. Seeking opportunities in Data Science / Data Analytics roles.
Nitte Meenakshi Institute of Technology
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Central Academy Sector 1
12th Grade
June 1, 2021 – May 31, 2022
Central Academy
10th Grade
June 1, 2019 – May 31, 2020
Aqmenz Pvt Ltd
Data Analysis Intern – Diabetes Dataset
March 1, 2024 – April 1, 2024
India
Smart Parking Occupancy Prediction System
April 1, 2026 – Present
Built a machine learning model to predict parking occupancy using historical data. Performed data preprocessing, feature engineering, and model training. Implemented predictive analytics for next-hour occupancy forecasting. Visualized trends and revenue insights using dashboards.
EduVest - Investment Analytics and Forecasting Platform
March 1, 2026 – Present
Developed a data-driven investment analysis platform using Python and Streamlit. Collected and processed real-time stock data using yFinance API. Performed time-series analysis and basic forecasting for profit prediction. Built dashboards for portfolio performance visualization.
Fake News Detection using Machine Learning
November 1, 2024 – Present
Built a classification model using TF-IDF and Logistic Regression. Performed text preprocessing and feature extraction. Evaluated model using accuracy, precision, and recall metrics. Deployed using Streamlit.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying data analysis and machine learning to different domains (finance, urban planning, natural language processing). The internship experience aligns well with a data analyst role, indicating a practical application of learned skills. The breadth of technical skills listed (Python, SQL, various libraries, databases) suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach through academic projects and an internship. The project descriptions indicate an ability to work on data-driven problems from collection to deployment. However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, and team collaboration directly.