Help & Supportcareers@gravityer.com
Data Scientist with 1+ years in Machine Learning & Data Analytics
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 Analyst and Data Scientist with 1.3 years of experience specializing in deep learning, machine learning, and data analytics. Proven ability to analyze complex datasets, develop AI models for medical imaging, and create interactive dashboards for business insights. Adept at leveraging Python, SQL, and various ML/DL frameworks to drive data-driven decision-making and improve operational efficiency.
Datta Meghe Institute of Higher Education & Research University, Wardha
B.Tech · Computer Science and Design
August 1, 2021 – June 30, 2025
Gandhi Gram Junior, Seagram, Wardha, Maharashtra.
Class 12 · State Board
June 1, 2019 – May 31, 2021
AI VARIANT
Data Analyst Intern
July 1, 2025 – Present
India
Codon's Technology
Data Analytics Intern
July 1, 2024 – November 1, 2024
India
Hospitality Revenue & Occupancy Performance Analytics
October 1, 2025 – November 1, 2025
Designed and implemented Excel, Tableau, and Power BI dashboards to track and visualize hospitality KPIs and trends. Executed SQL queries to extract and aggregate booking and revenue data for weekly and class-wise performance. Analyzed revenue distribution by state, room type, and customer segment, identifying RT2 as the top-performing room type with 49,505 successful bookings. Conducted trend and utilization analysis showing a 57% revenue increase from April to July 2022, and weekday revenue contributing 56.83% of total income. Derived business insights highlighting Mumbai as the leading revenue city and luxury class as the highest revenue generator.
View ProjectKnee Osteoarthritis Analysis with X-ray Images Using Convolutional Neural Networks
December 1, 2024 – March 1, 2025
The project "Knee Osteoarthritis Analysis with X-ray Images Using Convolutional Neural Networks (CNNs)" focused on developing an AI-driven system capable of detecting and classifying knee osteoarthritis (OA) based on medical X-ray images. The proposed CNN model was trained to categorize OA into five distinct grades Healthy (Grade 0), Doubtful (Grade 1), Minimal (Grade 2), Moderate (Grade 3), and Severe (Grade 4) – enabling an automated and consistent approach to severity assessment. By leveraging deep learning techniques and medical imaging datasets, the model achieved high classification accuracy and effectively captured subtle visual differences across severity levels. The system significantly reduced the dependency on manual diagnosis while ensuring faster and more reliable evaluations. This project highlights the potential of deep learning in medical imaging to enhance diagnostic accuracy and assist healthcare professionals in early detection and treatment planning. The developed model contributes toward improving patient outcomes through timely intervention and efficient disease monitoring.
View ProjectMRI-based brain tumor detection using CNN
July 1, 2023 – September 1, 2023
Developed and optimized a deep learning model utilizing Convolutional Neural Networks (CNN) for automated brain tumor detection and classification from MRI images. The model accurately identified tumor categories – glioma, meningioma, pituitary, and tumor-free – achieving classification accuracies of 95.13% (100×100 images) and 92.2% (150×150 images). The project enhanced diagnostic precision and demonstrated the potential of AI-driven medical imaging for early and reliable tumor diagnosis
View ProjectIBM Data Analyst
IBM
June 1, 2026 – Present
Published Research paper on Knee Osteoarthritis Analysis with X-ray Images Using Convolutional Neural Networks
Unknown
June 1, 2026 – Present
Published Research paper on Brain tumor detection using MRI images- Based CNN
Unknown
June 1, 2026 – Present
Google Cloud career readiness Associate Cloud Engineer track
Google Cloud
June 1, 2026 – Present
Data Analyst Program - EXCELR
EXCELR
January 1, 2023 – October 27, 2025
Cultural Fit Analysis
The candidate's academic projects in medical imaging and hospitality analytics showcase a diverse application of data science skills. Their involvement in publishing research papers and leading a project team indicates a proactive and collaborative mindset. The breadth of tools and technologies used (Python, SQL, Tableau, Power BI, Deep Learning, Computer Vision) suggests a willingness to learn and adapt, which aligns well with a dynamic, innovation-driven culture. The current internship roles are relevant to the target role of Lead Data Scientist, demonstrating a clear career path alignment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through leading academic projects and publishing research. Their experience in automating tasks suggests a focus on efficiency. The project diversity, particularly in medical imaging and hospitality analytics, indicates adaptability and a broad interest in applying data science across different domains. However, the current experience level is primarily academic and internship-based, which may require more structured operational guidance in a senior role.