Help & Supportcareers@gravityer.com
Data Analyst with 4+ years in Financial Modeling & 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
Highly analytical and results-oriented professional with 4.0 years of experience in data analysis, financial modeling, and strategic business management. Adept at leveraging Python, SQL, and various ML/DL frameworks to extract actionable insights from complex datasets. Proven ability to manage investment portfolios, develop data-driven dashboards, and enhance operational efficiency, consistently outperforming market benchmarks and driving business growth.
IIT Patna
B.Sc. · CS & Data Analytics
August 1, 2024 – June 30, 2027
CBSE
Senior Secondary
N/A – May 31, 2024
CBSE
Secondary
N/A – May 31, 2022
Self-Managed Portfolio
Stock Market Analyst
June 1, 2024 – June 1, 2026
India
Gurumukhdass Fashions
Owner & Manager
January 1, 2022 – Present
India
Financial Report & DuPont Analysis of Tata Motors
June 21, 2026 – Present
Performed comprehensive financial ratio analysis to evaluate operational and financial performance. Calculated and interpreted the 3-step/5-step DuPont decomposition to identify specific drivers of Return on Equity (ROE).
Business Management Dashboard
June 21, 2026 – Present
Developed a Python-based analytics dashboard to process and analyze 5-6 lakh monthly retail sales data. Performed data cleaning and transformation on unstructured datasets using Pandas. Generated insights on product performance and profitability to enable data-driven inventory planning.
Nifty Sniper Tool
June 21, 2026 – Present
Designed a trading tool to identify precise entry and exit points in NIFTY using technical analysis. Applied price action and trend-following strategies using RSI, MACD, and moving averages. Enhanced trade accuracy and decision speed by combining multiple technical signals.
Stock Screener with Sector-wise Strength Analysis
June 21, 2026 – Present
Built a data-driven stock screener using relative strength analysis to identify outperforming stocks. Compared sector performance with broader indices to detect momentum shifts and leading sectors. Integrated technical indicators such as trend analysis, support/resistance, and volume confirmation.
Financial Modelling
Unknown
August 1, 2025 – Present
Power BI
Unknown
June 1, 2025 – Present
NISM Series VIII: Equity Derivatives
NISM
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's background includes both academic projects in data analytics and practical experience in business management and financial markets. This blend suggests a pragmatic, results-oriented individual who can bridge theoretical knowledge with real-world application. Their diverse interests, from retail operations to equity derivatives, indicate adaptability and a broad perspective. The focus on data-driven decision-making in various contexts aligns well with a culture that values analytical rigor and continuous improvement. The candidate is currently pursuing a B.Sc. in CS & Data Analytics, indicating a strong commitment to formal education in the field, which aligns with a learning-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their projects and experience. Their role as an Owner & Manager highlights leadership, operational management, and a results-oriented approach, evidenced by reducing dead stock and increasing repeat customer engagement. The self-managed portfolio experience indicates discipline, risk management, and a proactive learning attitude. These traits suggest a good operational fit for roles requiring independent work, initiative, and a focus on tangible business outcomes.