Help & Supportcareers@gravityer.com
Data Science with less than a year in Data Analytics & 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
Aspiring Data Analyst skilled in SQL, Python, and Power BI with hands-on experience in data cleaning, EDA, dashboard automation, and predictive modeling. Proven ability to transform raw datasets into actionable insights.
DBATU University, Lonere
B.Tech · Computer Science
N/A – June 30, 2026
Kolhapur Board
HSC
N/A – May 31, 2022
Kolhapur Board
SSC
N/A – May 31, 2020
Cloudblitz
Data Science Intern
March 1, 2026 – August 1, 2026
India
SweepByUs: Urban Maid Booking System
June 1, 2026 – Present
Developed a full-stack, web-based platform implementing secure user registration, automated bookings, and structured SQL record tracking.
Financial Transaction Anomaly Detection
June 1, 2026 – Present
Built a predictive ML classifier using precision, recall, and confusion matrix metrics to successfully identify fraudulent transaction patterns.
Job Market Dynamic Analysis
June 1, 2026 – Present
Utilized complex SQL queries (joins, aggregations) to clean and process industrial job datasets to evaluate shifting salary trends.
1st Rank in 7th Semester B.Tech Computer Science (Academic Excellence Award)
Unknown
June 1, 2026 – Present
Selected for State-Level Avishkar Project Presentation for "SweepByUs" system
Unknown
June 1, 2026 – Present
Active participant in Technical Poster Presentations on AI, Data Science, and Neural Networks
Unknown
June 1, 2026 – Present
Supervised Machine Learning
DeepLearning.AI
June 1, 2026 – Present
Deep Learning Certification
NPTEL – IIT Ropar
June 1, 2026 – Present
Relational Databases 101
IBM
June 1, 2026 – Present
Generative AI Model Builder
NXT WAVE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse projects, ranging from financial anomaly detection to a full-stack booking system, demonstrate adaptability and a broad interest in applying technical skills. The academic achievements and certifications highlight a strong drive for continuous learning and excellence, which aligns well with a culture of innovation and growth. The internship experience shows an ability to work in a professional setting and contribute to business decisions.
Soft Skills & Operational Fit
The candidate's project descriptions and certifications suggest a proactive and learning-oriented individual. Participation in technical poster presentations and state-level project presentations indicates good communication and presentation skills, which are valuable for operational fit in a data science team. The academic background in Computer Science provides a solid theoretical foundation.