Help & Supportcareers@gravityer.com
Data Science with less than a year in data analysis, business intelligence, and 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
Final-year Information Technology graduate (CGPA: 8.87) with practical experience in data analysis, business intelligence, and BI dashboard development. Proficient in Power BI, SQL, and Excel, converting raw datasets into measurable KPIs, trend reports, and visual dashboards. Skilled in full-cycle data workflows - from ETL and data cleaning through to dashboard publishing and executive reporting. Python proficiency in ML model training and Streamlit deployment rounds out a strong AI/ML skill set. Seeking an entry-level Data Analyst or Business Intelligence Analyst role to turn data into clear business outcomes.
SVIT (GTU)
B.E. · Information Technology
N/A – June 30, 2026
Alembic School
Higher Secondary Certificate (Class XII)
N/A – May 31, 2022
Modern School
Secondary School Certificate (Class X)
N/A – May 31, 2020
FICE Education Pvt. Ltd. (Microsoft Elevate Program)
AI / ML Intern
January 1, 2026 – April 1, 2026
India
IBM CSRBOX (GTU Program)
Data Analytics Intern
July 1, 2025 – July 15, 2025
India
Zomato Sales and Performance Analysis
June 24, 2026 – Present
Processed 150K+ orders, uncovering Rs. 987M in revenue and 2M+ items sold, segmented by city, order hour, and food category. Developed 6 KPI cards and 4 dynamic slicers across 3 report pages, allowing stakeholders to isolate peak demand windows by city and hour.
Tourism Analytics Dashboard
June 24, 2026 – Present
Evaluated 50K+ tourism records (1991-2021) to map top-performing states, seasonal earnings peaks (max Rs. 14.8M), and accommodation spending bands (Rs. 29K-52K). Introduced 3 comparison filters across domestic vs. foreign tourist segments, informing SDG-8-aligned strategy for 5 low-performing states.
Pizza Sales Analysis
June 24, 2026 – Present
Wrote 10+ SQL queries to extract, clean, and join 4 relational tables, producing a clean, analysis-ready dataset from 12 months of sales records. Published a 3-page Power BI dashboard covering Rs. 817.86K revenue, 49K units sold, top 5 pizza categories and sizes, and hourly demand trends.
Vrinda Store Sales Analysis
June 24, 2026 – Present
Built a pivot-table summary across 31K+ 2022 sales records, identifying Maharashtra as the top state (Rs. 2.99M) and Amazon as the leading channel (35% share). Uncovered that women account for 64% of orders with a 92% delivery success rate — findings used to sharpen channel strategy and demographic focus.
Clinical AI Assistant
June 24, 2026 – Present
Trained a Random Forest classifier on 13 clinical parameters to predict cardiovascular disease likelihood; trained a CNN from scratch on labeled chest X-ray images for pneumonia detection. Integrated both models into a Streamlit web app delivering 4 outputs per prediction — risk probability, confidence score, clinical recommendation, and a downloadable PDF report.
Product Review Sentiment Analyzer
June 24, 2026 – Present
Built a 5-stage NLP pipeline (tokenization, stopword removal, TF-IDF vectorization, feature engineering, classification) to label e-commerce reviews across 3 sentiment classes using Logistic Regression. Evaluated model across 4 metrics (accuracy, precision, recall, F1-score), achieving 88%+ classification accuracy; shipped as a Streamlit app returning real-time sentiment scores on free-text input.
Getting Started with Data
IBM
July 1, 2025 – Present
Tata GenAI Powered Data Analytics Job Simulation
Forage
July 1, 2025 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, covering sales analysis, tourism analytics, and AI assistants, indicates a broad interest in applying data science across different domains. The participation in structured programs like Microsoft Elevate and IBM CSRBOX suggests an openness to learning and structured development, which aligns well with a growth-oriented culture. The projects also show an ability to work independently and deliver tangible results. The target role alignment with Data Science is strong given the project portfolio.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data science concepts through various personal projects and internships. The project descriptions indicate an ability to translate technical work into business outcomes, suggesting good problem-solving and communication skills. The focus on end-to-end data workflows, from ETL to dashboard publishing, shows an understanding of operational requirements. However, the short duration of internships and lack of team-based project descriptions limit the assessment of collaboration and stress handling.