Help & Supportcareers@gravityer.com
Data Science with less than a year in Data Analysis & 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
Highly motivated Data Science professional with strong analytical and programming skills. Proven ability to build and deploy machine learning models, analyze complex datasets for actionable insights, and develop interactive dashboards. Experienced in improving data quality, optimizing data pipelines, and supporting business decision-making across diverse domains such as customer retention, fraud detection, and financial analysis. Continuously seeking to leverage data-driven approaches to solve real-world problems and drive measurable impact.
International Institute of Information Technology (IIIT) Naya Raipur
B.Tech. · Data Science and Artificial Intelligence
August 1, 2022 – June 30, 2026
Jawahar Navodaya Vidyalaya, Janjgir-Champa, Chhattisgarh
High School Diploma · Science Stream
June 1, 2014 – May 31, 2021
SyntecxHub
Data Science Intern
February 1, 2026 – March 1, 2026
India
Elevate Labs
Data Analytics and AI Intern
September 1, 2025 – November 1, 2025
India
Customer Revenue Intelligence Dashboard
June 1, 2026 – Present
Rectified 3,900+ records via category-median imputation and engineered 2 derived features (age-group, purchase-frequency) in Pandas; produced a 100% null-free dataset that trimmed data preparation time by 40% across all reporting and analytics pipelines. Revealed that 73% of repeat buyers (5+ purchases) were non-subscribed despite an avg. spend of $59.76 using PostgreSQL CTEs and Window Functions; designed a 3-page Power BI executive dashboard with 6 interactive slicers to target 2,847 lapsed subscribers, directly informing a targeted revenue retention campaign.
View ProjectSales Insights Dashboard
June 1, 2026 – Present
Processed ETL workflows across 4 years of transactional data using MySQL and Power Query; purged duplicate records and currency discrepancies across 3 regional markets, producing a clean, audit-ready dataset for executive business reporting. Constructed an interactive Power BI dashboard with DAX measures tracking revenue trends, profit margins, and YoY growth across 5 product lines; slashed ad-hoc query volume by 35% and report turnaround time by 50%.
View ProjectSafePayAI – UPI Fraud Detection
June 1, 2026 – Present
Synthesized a 10,000-record training corpus with 20 domain-specific risk features and 1,000 GAN-generated samples; trained a Random Forest classifier via GridSearchCV over 36 hyperparameter combinations, attaining 97.09% accuracy on 17,000 records with 5-fold cross-validation. Recorded 0.97 precision, 0.97 recall, and 0.97 F1-score on the held-out test set; shipped the model via a Flask REST API wired to a React dashboard, exposing per-transaction UPI fraud risk scores and live probability readouts to business stakeholders.
View ProjectKaggle SQL Certification
Kaggle
June 1, 2026 – Present
JPMorgan Chase Quantitative Research Job Simulation
Forage
January 1, 2026 – Present
IEEE Research Paper
IEEE Xplore
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in data science and analytics, aligning well with a target role in Data Science. The diversity of projects, from customer revenue intelligence to fraud detection, shows a broad application of skills. The certifications (Kaggle SQL, JPMorgan Chase simulation) and research paper indicate a proactive learning attitude and a drive for continuous improvement, which are positive indicators for cultural fit in a dynamic technical environment. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (rectifying records, diagnosing inconsistencies), attention to detail (purging duplicates, currency discrepancies), and a results-oriented approach (slashing time, boosting throughput, reducing false negatives). The academic projects and internships suggest an ability to work on structured tasks and deliver measurable outcomes. The IEEE publication indicates a capacity for independent research and technical writing.