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
Aspiring Data Scientist with strong foundations in Artificial Intelligence and Machine Learning. Skilled in machine learning NLP,data visualization and SQL with hands-on experience in building predictive models and analytics dashboards. Passionate about leveraging data to solve real-world problems and support bussiness decision-making.
GEC,Chamarajanagar
B.E
N/A – June 30, 2026
VBR PU COLLEGE,Banglore
12th
N/A – May 31, 2022
SVVS,Srinivaspura
10th
N/A – May 31, 2020
Online food ordering and delivering
June 19, 2026 – Present
Developed a mini-project to allow customers to browse restaurants, order food online, and track delivery status. Implemented modules for Customer, Restaurant, Delivery Agent, and Admin. Technologies are Java, CSS, HTML.
IoT Based Smart Biofloc Monitoring System for Fish Farming using Machine Learning
June 19, 2026 – Present
Implemented an IoT-enabled system to monitor water quality parameters (pH, temperature, dissolved oxygen, ammonia) in real time. Applied machine learning algorithms (Random Forest, SVM, Logistic Regression) for classification and prediction of water quality. Technologies & Libraries: Python, Scikit-learn, Pandas, Matplotlib, MySQL.
Car Parking Management System Using DEEP LEARNING
June 19, 2026 – Present
Developed a database-driven system to manage vehicle entry, exit and parking availability. Technologies are Python, YOLO, OpenCV.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in applying data science to diverse domains, from IoT to computer vision and traditional web applications. This diversity suggests adaptability and a willingness to explore different problem spaces. The stated passion for solving real-world problems aligns with a results-oriented culture. However, the lack of professional experience and team-based project descriptions makes it challenging to assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
The candidate's resume indicates a passion for leveraging data to solve real-world problems and support business decision-making, suggesting a problem-solving mindset. The academic projects demonstrate initiative and the ability to apply learned concepts. However, without specific assessment data on communication, logical reasoning, work attitude, stress handling, or team collaboration, it is difficult to fully assess soft skills and operational fit. The project descriptions are concise but lack detailed problem statements, methodologies, and outcomes, which could indicate a need for improved communication of technical work.