Help & Supportcareers@gravityer.com
Data Science with less than a year in Python & SQL.
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 Science & Analytics enthusiast with hands-on experience in Python, SQL, EDA, Machine Learning, and data visualization. Experienced in building end-to-end data pipelines, clustering models, and regression-based predictors. Proficient in Pandas, NumPy, Scikit-learn, Power BI, and MySQL. Seeking an entry-level Data Analyst or Data Science role to deliver data-driven insights.
Prof. Ram Meghe College of Engineering and Management
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Govt. Vidarbha Institute of Science and Humanities
12th · Science
N/A – May 31, 2022
Maharashtra State Board
10th · Secondary Examination
N/A – May 31, 2020
Nutritional Blind Spot Analyzer
June 1, 2026 – Present
Built a Python-based system to analyze food logs and predict potential Vitamin-D and Iron deficiencies using USDA FoodData API data. Applied K-Means clustering to segment users based on nutritional intake patterns and identified high-risk groups for Vitamin-D and Iron deficiencies. Built a regression model to estimate micronutrient gaps and generate personalized, data-driven dietary recommendations with actionable output.
Centralized Real Estate Platform for Multi-Agent Collaboration
June 1, 2026 – Present
Built a centralized platform for brokers, builders, and buyers with property listing, management, and advanced property search capabilities. Implemented secure login, appointment booking, and a structured relational database schema to manage multi-agent property transactions efficiently. Streamlined end-to-end property transactions and improved communication workflow between clients and sellers.
Real Estate Price Estimator
June 1, 2026 – Present
Performed full EDA and data preprocessing pipeline including outlier removal, categorical encoding, and feature selection on a large real estate dataset. Trained and compared multiple regression models (Linear Regression, Decision Tree) achieving accurate price predictions based on property attributes. Developed a web application allowing users to input property features and receive real-time price estimates, bridging ML output with end-user interaction.
Data Analytics Essentials
Cisco
June 1, 2026 – Present
Python Essentials 1
Cisco
June 1, 2026 – Present
Power BI
Udemy
June 1, 2026 – Present
Computer Networks and Internet Protocol
NPTEL
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Microprocessor and Interfacing
NPTEL
June 1, 2026 – Present
Introduction to Data Analytics
Simplilearn
June 1, 2026 – Present
Master Data Science & Analytics Process Automation
AICTE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of data science, which aligns with a results-oriented culture. The diversity of projects (nutritional analysis, real estate pricing) indicates a breadth of interest and adaptability. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit beyond a basic alignment with technical problem-solving.
Soft Skills & Operational Fit
The candidate lists several soft skills such as fast learner, logical thinking, problem-solving, and teamwork. While these are valuable, there is no direct evidence from the provided data (e.g., completed tests, work experience) to objectively assess these claims. The academic projects suggest an ability to work independently on defined problems.