Data Analyst with less than a year in Python, SQL, Excel, & Tableau.
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Assessing your cultural and operational fit
BCA student with a strong focus on Data Analytics and Data Science, possessing hands-on experience in Python, SQL, Excel, and Tableau. Demonstrated ability to analyze complex datasets, build dashboards, and derive actionable insights through real-world simulations in data analytics and credit risk modeling. Eager to leverage analytical skills to contribute to data-driven decision-making while continuously growing in a challenging professional environment.
IMPACT College
Bachelor's in Computer Application · Computer Application
August 1, 2024 – June 30, 2027
End-to-End Stock Market EDA Project
June 1, 2026 – June 1, 2026
Analyzed 6,256+ records of 3-year stock market data across 8 major US stocks through an end-to-end data analytics pipeline. Performed data cleaning, EDA, to uncover market trends, volatility patterns, trading behavior, and stock correlations. Developed an automated Python pipeline that processes data, calculates financial metrics, and automatically generates & saves visualizations, including trend analysis, volatility heatmaps, correlation matrices, trading volume insights, and return distributions. Designed a MySQL Star Schema and automated ETL pipeline using SQL Alchemy for efficient data integration, storage, and analytical querying. Built an interactive Power BI dashboard with KPIs, DAX measures, and dynamic visualizations to deliver actionable insights on stock performance and market trends.
View ProjectJPMorgan Chase & Co. Quantitative Research Virtual Experience
April 1, 2026 – April 1, 2026
Completed a simulation focused on quantitative research methods applied to financial risk analysis. Analyzed a loan portfolio dataset using Python to estimate customers' probability of default (PD). Performed data cleaning, preprocessing, and analysis using Python libraries (Pandas, NumPy). Applied dynamic programming in Python to convert continuous FICO scores into categorical risk segments for improved prediction accuracy. Generated actionable insights to support credit risk assessment and decision-making.
DELOITTE AUSTRALIA DATA ANALYTICS JOB SIMULATION
March 1, 2026 – March 1, 2026
Completed a job simulation focused on data analysis and forensic technology, gaining practical exposure to real-world business scenarios. Analyzed datasets using Python (Pandas, NumPy) to identify patterns, anomalies, and key business insights. Performed data cleaning and preprocessing in Python to improve data quality and analysis accuracy. Built an interactive data dashboard using Tableau to visualize key metrics and trends effectively. Utilized Microsoft Excel for data classification and drawing actionable business conclusions.
Artificial Intelligence Upskilling Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's participation in virtual experience programs from Deloitte and JPMorgan Chase & Co. indicates a proactive approach to learning and exposure to corporate environments, suggesting a good cultural fit for structured, professional settings. The diversity of projects (stock market, forensic, quantitative research) shows adaptability and a broad interest in data applications. The emphasis on problem-solving and collaboration aligns with typical team-oriented data analyst roles.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills through project descriptions. The project diversity indicates an ability to adapt to different business contexts (stock market, forensic technology, financial risk). The focus on end-to-end pipelines suggests an operational mindset for data flow and integration.