Help & Supportcareers@gravityer.com
Data Science with 1+ years in AI, 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
Artificial Intelligence and Data Science graduate with expertise in Data Analytics, Process Automation, and Business Intelligence. Proficient in Python, SQL, Power BI, and Robotic Process Automation (RPA), with experience in developing automation solutions, data visualization dashboards, and data-driven insights. Strong analytical and problem-solving skills with a focus on optimizing business processes and improving operational efficiency.
BGS College of Engineering and Technology
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Oasis Infobyte
Python Programming Intern
July 1, 2025 – September 1, 2025
India
Beyond Staff
Data Analyst Intern
March 1, 2025 – March 1, 2026
London, England, United Kingdom
MindMatrix
Android App Development using Gen AI Intern
February 1, 2025 – February 1, 2026
India
Ikora AI - Intelligent Healthcare Companion
March 1, 2026 – March 1, 2026
Built an AI-based healthcare platform with medication tracking and SMS alerts for caregivers. Developed a web app with AI chat support and healthcare resource features.
A Multimodal AI Framework for Medical Image Diagnosis Using Google Gemini - [KSCST Approved]
October 1, 2025 – October 1, 2025
Developed a multi-disease medical diagnostic system using TensorFlow and CNNs for medical image classification and disease prediction. Integrated Generative AI to automatically generate intelligent diagnostic reports from model outputs.
Sales Analysis on Flipkart Products
July 1, 2025 – August 1, 2025
Built Power BI dashboards to analyze sales trends and top-performing products. Used Power Query and DAX for data modeling and calculations.
Email Spam Detection Using Machine Learning
November 1, 2024 – January 1, 2025
Built an NLP-based spam detection model using Scikit-learn with accuracy of 89%. Deployed the model on Hugging Face for real-world testing.
Fundamentals of ML and AI
AWS Skillbuilder
June 1, 2026 – Present
Introduction to GenAI & Cloud Computing
AWS Educate
June 1, 2026 – Present
Power BI Analytics
Microsoft Learn
June 1, 2026 – Present
Data Analytics Virtual Internship
Deloitte
June 1, 2026 – Present
Data Visualization for Business Insights
TATA Forage
June 1, 2026 – Present
Python Essentials 1 & 2
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative and research-oriented environment, as evidenced by participation in hackathons, KSCST approved projects, and authoring a research paper. The academic projects and internships show a breadth of interest in AI, ML, and data analytics, aligning with a culture that values continuous learning and diverse problem-solving approaches. However, the experience is primarily academic and internship-based, which might require mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate's resume highlights strong soft skills such as Analytical Thinking, Communication, Teamwork, Leadership, Problem Solving, Adaptability, Time Management, and Collaboration. These are crucial for operational fit in a data science team, enabling effective project execution and cross-functional interaction. The project diversity also suggests adaptability and a proactive approach to learning new domains.