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Data Science with less than a year in Machine Learning & NLP.
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
August 1, 2022 – June 30, 2026
VBR PU COLLEGE,Banglore
12th
June 1, 2022 – May 31, 2022
SVVS,Srinivaspura
10th
June 1, 2020 – 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 show a strong interest in applying data science and machine learning to diverse domains (IoT, car parking, general data analysis). This aligns well with a role that values innovation and practical application of technical skills. The breadth of tools and libraries used indicates a willingness to learn and adapt. However, the lack of professional experience means cultural fit beyond technical interest is largely unassessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects. The internship experience suggests a capacity for learning and applying new technologies. However, without direct behavioral assessment, specific soft skills like teamwork, problem-solving under pressure, or communication in a professional setting cannot be fully evaluated.