Data Analyst with less than a year in Python, SQL & 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
Analytical and detail-oriented Data Analyst with hands-on experience in Python, SQL, and Machine Learning. Proficient in extracting insights from large datasets, building predictive models, and creating interactive dashboards to drive business decisions.
G.H Raisoni College of Engineering
M.Tech CSE · Computer Science and Engineering
August 1, 2021 – June 30, 2021
Prof. Ram Meghe College of Engineering and Management
B.E CSE · Computer Science and Engineering
August 1, 2017 – June 30, 2017
Internship Studio
Data Analyst Intern
February 1, 2026 – March 1, 2026
India
Patient Management System For Internship Student
June 1, 2026 – Present
• Designed and developed a mobile-based Patient Management System for efficient EHR management. • Implemented CRUD operations for structured patient data handling via an intuitive mobile interface. • Spearheaded the design and development of a application using a user-friendly mobile interface application enabled clinical documentation, allowing interns to digitally track symptoms and notes improving accuracy by 90%.
Patient Monitoring System
June 1, 2026 – Present
• Developed an IoT-based remote patient monitoring system for real-time health data tracking. • Built an Android app integrated with temperature and heart-rate sensors for vital sign monitoring. • Implemented real-time data transmission to clinicians' mobile devices for faster medical response.
Crop Yield and Demand Predictive Using Machine Learning
June 1, 2026 – Present
• Developed and evaluated crop yield prediction models using ML algorithms to analyze agricultural outcomes. • Enabled data-driven crop selection for farmers by incorporating key environmental factors. • Implemented and compared KNN, SVM, and Random Forest algorithms to predict yield outcomes and identify the most accurate model. • Achieved 98% Random Forest accuracy, enabling reliable yield predictions. • Assessed model performance using industry-standard metrics including precision, recall, support, and AUC-ROC score.
Certificate for Core Java Programming and Enterprise Java Programming
Soham Institute Amravati
June 1, 2026 – Present
Certificate for Complete Python Pro Bootcamp From Udemy
Udemy
June 1, 2026 – Present
Certificate for Big Data Computing
NPTEL
June 1, 2026 – Present
Certificate for post graduation diploma in mobile computing
Sunbeam Institute Of Technology (CDAC) Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in areas like healthcare systems (Patient Management, Patient Monitoring) and agriculture (Crop Yield Prediction), indicating adaptability and a broad problem-solving mindset. The target role of Data Analyst aligns well with the skills demonstrated in the 'Crop Yield' project and the internship experience. However, the lack of professional experience beyond a brief internship makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume indicates an analytical and detail-oriented approach, which is crucial for a Data Analyst role. The project descriptions suggest an ability to work on diverse technical challenges. However, the short duration of the internship (1 month) limits the assessment of sustained operational fit and collaboration in a professional setting.