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Data with less than a year in Python, SQL, and Power BI for data visualization.
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Assessing your cultural and operational fit
Results-driven Data Analyst with project experience in Python programming, SQL databases, and Power BI visualization. Systematized data extraction pipelines to process 10,000+ records, reducing manual reporting hours by 20%. Proficient in leveraging Advanced Excel (VLOOKUP, XLOOKUP, Index/Match, VBA) to clean and analyze complex datasets. Developed interactive predictive dashboards using machine learning classification algorithms to decrease diagnostic time by 40%.
SHERSHAH SURI INTER STARIYE VIDYALAYA SASARAM
Intermediate
June 1, 2019 – May 31, 2021
Vivekananda Global University Jaipur
B.Tech · Computer Science and Engineering
N/A – June 30, 2026
Heart Disease Predictive Model
June 25, 2026 – Present
Scraped and processed a 1,025-record medical dataset from the web, executing data cleaning and Exploratory Data Analysis (EDA) using Excel and MySQL to extract 302 unique entries. Deployed a Random Forest classification machine learning model via an interactive Streamlit application, achieving a 92% ROC-AUC score. Generated predictive analytics dashboards to visualize patient metrics, accelerating diagnostic insight delivery speed by 40%.
Uber Data Analysis Dashboard
June 25, 2026 – Present
Analyzed 500,000 spatial and temporal trip records using SQL to extract data and Advanced Excel (VLOOKUP, IndexMatching) for data validation across regional service tiers. Identified 3 primary areas of revenue leakage from trip cancellations by building interactive Power BI dashboards equipped with DAX measures to optimize profitability analysis. Delivered systematized visualizations and comprehensive reporting to executive leadership, reducing decision-making time by 60%.
Python programming -skill up
Unknown
June 1, 2026 – Present
Data analytics skill up
GeeksforGeeks
June 1, 2026 – Present
Data analysis with artificial intelligence
free code camp/Coursera
June 1, 2026 – Present
Data analytics with generative AI
specialized training
June 1, 2026 – Present
Management information system
Nptel
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skills in data analysis, machine learning, and visualization, aligning well with a 'Data' target role. The diversity of tools used (Python, SQL, Excel, Power BI, Streamlit, Tableau) indicates a willingness to learn and adapt. However, the lack of professional experience and team-based projects makes it challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to deliver actionable insights, which are valuable for operational fit. The focus on reducing manual reporting hours and accelerating decision-making suggests an understanding of business impact. However, without direct work experience or psychometric test results, it's difficult to fully assess collaboration, stress handling, or broader work attitude.