Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Deep Learning & AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and results-driven Data Science and Machine Learning Engineer with hands-on experience in deep learning, predictive modeling, and data visualization. Proven track record at ISRO in engineering high-accuracy CNN-based classification models for satellite telemetry. Proficient in Python, PyTorch, SQL, and deploying scalable APIs. Seeking to leverage expertise in data architecture and advanced analytics to drive product optimization and solve complex challenges.
Gujarat Technological University (GTU), Ahmedabad
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
ISRO Space Applications Centre (SAC)
DS & ML Research Intern
January 1, 2026 – April 1, 2026
Ahmedabad, Gujarat, India
BrainyBeams
Data Science Intern
August 1, 2025 – December 1, 2025
Ahmedabad, Gujarat, India
Customer Credit Card Segmentation
June 23, 2026 – Present
Executed advanced clustering techniques (K-Means, Hierarchical, DBSCAN) on ~8,950 records to identify distinct customer transaction behaviors. Synthesized segmented datasets into actionable business intelligence dashboards using Power BI to drive targeted marketing strategies.
View ProjectCNN-Based Satellite Signal Classification
June 23, 2026 – Present
Processed complex MDB array data by transforming signals into image formats, building an end-to-end dataflow pipeline for telemetry classification and Engineered a Flask API endpoint tested via Postman, allowing users to submit data and retrieve classification predictions alongside confidence scores. Achieved ~96% classification accuracy, utilizing MS Access and ODBC for robust data ingestion and preprocessing.
Music Recommendation System
June 23, 2026 – Present
Constructed a dynamic recommendation engine deployed via Streamlit, integrating YouTube API to curate highly personalized music suggestions. Conducted extensive Exploratory Data Analysis (EDA) to refine recommendation algorithms and optimize user experience metrics.
View ProjectCultural Fit Analysis
The candidate's projects and internships show a strong alignment with an AI Engineer role, focusing on machine learning, deep learning, and data science applications. The diversity of projects (satellite signals, music recommendations, customer segmentation) indicates a broad interest and adaptability. The experience at ISRO, a prominent research organization, suggests a drive for impactful work. The candidate's profile aligns well with a culture that values innovation, technical depth, and practical application of AI/ML.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a detail-oriented and results-driven individual. The ability to work on complex problems (satellite signal classification) and deploy functional APIs indicates good problem-solving and execution skills. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a collaborative setting cannot be definitively evaluated.