Data Analyst with less than a year in Data Analysis & Visualization
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 specializing in the IT-Finance intersection. Experienced in maintaining data integrity, streamlining financial reporting workflows, and performing variance analysis. Skilled in Power BI/Tableau and advanced Excel, with a strong grasp of financial compliance and technical troubleshooting within data pipelines.
Savitribai Phule Pune University
Bachelor Of Computer Engineering · Software engineering
N/A – December 1, 2022
Maharashtra Institute Of Technology
Post Graduation · Information Technology - Finance
N/A – December 1, 2025
Stibium Tech Private Limited
Data Analyst
April 1, 2025 – September 1, 2025
Bengaluru, Karnataka, India
Automated Finance & Portfolio Risk Analysis
July 1, 2025 – September 1, 2025
• Tech Stack: Python (Pandas, NumPy), Statistics, SQL, Tableau/Power BI • Risk Metrics Calculation Developed an automated pipeline to calculate key financial risk metrics, including Value at Risk Var and Sharpe Ratio, to evaluate portfolio performance. • Data Automation the extraction and cleaning of financial data from multiple sources, reducing manual reporting time by e.g., 40%. • Volatility Analysis Implemented statistical models to track market volatility and identify potential risks in diverse asset portfolios. • Stress Testing Conducted "What-if" scenario analysis to simulate market crashes and predict their impact on total portfolio value. • Dashboarding Built an interactive risk monitoring dashboard to visualize real-time risk levels and provide early warning signals for high-risk assets.
Real Estate Price Prediction & Analysis
April 1, 2025 – June 1, 2025
• Tech Stack: Python (Pandas, Scikit-learn), SQL, Matplotlib, Seaborn • Objective: Built a predictive model to estimate property prices based on features like location, area, and number of bedrooms to help buyers make informed decisions. • Data Handling Cleaned a dataset of 5,000+ records, removing duplicate entries and fixing missing values to improve data reliability. • Analysis Performed Exploratory Data Analysis EDA to discover that properties near city centers have a 20% higher valuation on average. • Machine Learning Implemented a Random Forest Regression algorithm, achieving an accuracy score of 90% on the test data. • Visualization Created heatmaps and trend graphs to show which months are best for property investment
Data Analyst Certification
Disha Institute
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in both real estate and finance domains, which aligns well with roles requiring diverse analytical applications. The listed skills cover a broad range of data analysis tools and techniques, indicating adaptability. The short professional experience (5 months) and personal projects suggest a proactive learning approach. However, the limited professional experience makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists 'Intellectual Agility & Learning', 'Problem Solving', 'Teamwork', and 'Effective Communication' as soft skills. The project descriptions indicate an ability to work independently on complex analytical tasks and present findings through visualizations, suggesting good problem-solving and communication potential. However, without direct assessment, the depth of these skills in a team or operational setting is not fully verifiable.