Help & Supportcareers@gravityer.com
Data with less than a year in Python, SQL & 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
Passionate and knowledgeable data analyst with practical skills in SQL, Python, Excel and Power BI. I like cleaning, analysing, and visualising data in order to discover valuable information that will help in making better decisions. I am eager to use what I have learnt in practical work, become a participant in business development, and continue to learn in a rapidly changing, data-driven world.
Malla Reddy Institute of Technology and Science, Hyderabad
B.Tech · Data Science
N/A – June 30, 2025
Jyothishmathi Institute of Technological Sciences, Karimnagar
Diploma · Electronics and Communication Engineering
N/A – June 30, 2022
Zilla Parishad High School
Secondary School Certificate
N/A – May 31, 2019
Super Store Sales DashBoard
June 1, 2025 – July 1, 2025
I created an interactive Power BI dashboard using sales data from Superstore to uncover important business information and support decision-making based on data. designed user-friendly reports with drill-through and slicer features to illustrate monthly and quarterly sales performance, category breakdowns, and customer insights. used DAX for analytics, including sales forecasting and performance trend analysis I used Power Query to clean and modify the data, and applied DAX formulas for complex calculations, trend analysis, and predictions.
Crime Rate Prediction Using Logistic Regression
January 1, 2025 – February 1, 2025
Created a predictive model using Logistic Regression to analyze and predict crime rates based on historical and demographic data. Cleaned, transformed, and preprocessed large datasets using Pandas and NumPy to ensure data quality and accuracy. Performed exploratory data analysis, EDA, and feature engineering to improve the performance of a model. Visualized insights and model results using Matplotlib and Seaborn to support data-driven decisions
Fake News Detection Using Machine Learning
March 1, 2024 – April 1, 2024
Developed machine learning model to identify real and fake news articles with the help of Natural Language Processing. Collected and filtered huge text datasets, deleted noise, stopwords, and duplications to enhance the quality of data. Enhanced practical skills in text analytics, NLP, data cleaning, and model development of the ML, and being cognizant of how the misinformation detection affects society.. Attained 90 percent accuracy on the post-data cleaning, feature extraction and model tuning.
Deloitte's Data Analytics Virtual Experience
Delottie Data Analytics Job Simulation Certificate Forage
January 1, 2025 – Present
Introduction to Machine Learning
Swayam NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical application of data science techniques, aligning with a data-driven culture. The diversity of projects (fake news detection, sales dashboard, crime rate prediction) shows a broad interest in applying data skills to different domains. The pursuit of certifications further indicates a self-starter mentality and commitment to professional development, which generally fits well within a growth-oriented team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, clean and preprocess data, and visualize results. The summary highlights eagerness to learn and contribute, suggesting a positive attitude towards continuous improvement and collaboration. However, without specific psychometric test results, a detailed assessment of logical reasoning, stress handling, and team collaboration is not possible.