Help & Supportcareers@gravityer.com
Data Science with 1+ years in AI, Machine Learning, and Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated individual pursuing a B.Tech in Computer Science & Engineering with a specialization in AI & ML. Possessing strong programming skills in Python, SQL, C, and Java, coupled with expertise in machine learning techniques like supervised, unsupervised, and time-series analysis. Proven ability to build quantitative risk models, perform survival analysis for clinical trials, and develop AI pipelines for healthcare automation. Actively exploring AI and Machine Learning technologies with practical experience in real-world challenges.
Quantum University
B. Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Universal Group of Institution
Diploma · Computer Science Engineering
August 1, 2021 – June 30, 2024
Emmanuel Mission High School
Class 10
June 1, 2020 – May 31, 2021
Samatrix
Intern | Data Analyst
June 1, 2025 – July 1, 2025
Gurgaon, Haryana, India
AI & Sustainability Ongoing Internship
AI & Sustainability Ongoing Internship
June 1, 2025 – Present
India
MAI - Medical Artificial Intelligence (Healthcare Clinical-Trial Automation)
June 18, 2026 – Present
• Engineered an end-to-end AI pipeline that automates patient selection, real-time data monitoring, and risk analysis for clinical trials using Python. • Implemented predictive analytics modules to forecast treatment outcomes, improving trial-accuracy benchmarks. • Tech Stack: Python, Pandas, NumPy, Matplotlib, Scikit-learn, lifelines, Jupyter Notebook.
Electricity Generation Analysis Dashboard (Power BI)
June 18, 2026 – Present
• Analyses multiple-year electricity generation data and energy source distribution. • Applied data transformation and modeling techniques using Power Query and DAX • Created interactive visuals to track trends, compare energy sources, and evaluate growth patterns
Cultural Fit Analysis
The candidate shows a strong interest in AI and Data Science, aligning well with a target role in this field. The academic projects and internships demonstrate initiative and a willingness to explore diverse applications of AI, from healthcare to energy. However, the limited professional experience means there's less evidence of adaptability or experience in varied team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on analytical and research-based tasks. The internships suggest a proactive approach to learning and applying AI/ML concepts. However, the experience level is entry-level, and the descriptions lack details on collaboration, problem-solving methodologies, or handling project challenges, making it difficult to fully assess operational fit.