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Data Analyst with less than a year in Excel, SQL, Python, and Power BI
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Assessing your cultural and operational fit
Aspiring Data Analyst/Data Scientist with hands-on experience in Excel, SQL, Python, and Power BI, seeking to transform data into strategic solutions and support data-driven decision-making.
Vignan University
MBA · Information Technology
August 1, 2023 – June 30, 2025
Lucknow University
Bachelor of Vocational · Software Development
August 1, 2019 – June 30, 2022
Fatima Convent School
Senior Secondary (XII), ICSE · Commerce
N/A – May 31, 2019
Fatima Convent School
Secondary (X), ICSE
N/A – May 31, 2016
INTERNSHIP STUDIO
C++ & Data Structures • Internship
March 1, 2024 – April 1, 2024
India
Smart Pricing & Retention: Data-Driven Solutions for Airbnb and Telecom Industries
June 1, 2026 – August 1, 2025
Engineered features and trained regression models to predict Airbnb prices using Python libraries; developed churn classification using Logistic Regression, Decision Trees, and Random Forests with EDA and metric-based evaluation to improve retention decisions.
Electric Vehicles Market Size Analysis
June 1, 2026 – August 1, 2025
Analyzed EV datasets to segment by budget/range, aggregate by manufacturer, and relate battery capacity to range with outlier detection; built a Python-based EV recommender and used hypothesis testing to compare engine power across brands for actionable recommendations.
Text Intelligence: Sentiment Analysis of IMDb Reviews and News Article Classification
June 1, 2026 – August 1, 2025
Preprocessed text with tokenization, stopword removal, and stemming; applied TF-IDF/Word2Vec to train high-accuracy sentiment models for IMDb reviews and built supervised classifiers to categorize news into domains like sports, politics, and technology.
KPMG Data Analysis with Excel
June 1, 2026 – May 1, 2025
Standardized customer, transaction, and demographic data, performed segmentation by wealth, gender, and industry, analyzed sales and product trends, and estimated revenue and CLV to surface high-value customer segments.
Walmart's Retail insights optimization
July 1, 2025 – August 1, 2025
Conducted advanced MySQL analysis to uncover sales growth drivers, profitable product lines, branch performance, and transaction anomalies, with customer segmentation by spend tiers and payment preferences; delivered SQL-backed insights with clear visuals to guide strategy.
Airline Performance Analysis (Power BI)
June 1, 2025 – July 1, 2025
Cleaned and modeled airline data in Power Query, created DAX measures for bookings, ticket status, and operations KPIs, and built interactive dashboards with slicers and drill-through for dynamic insights and Power BI Service reporting.
Sales Performance Dashboard: A Data-Driven Approach to Business Insights
January 1, 2025 – April 1, 2025
Combined Excel, SQL, and Power BI on Kaggle sales data to reveal trends, customer behavior, and performance insights, converting raw transactions into visuals that inform business decisions.
J.P. Morgan classification of legal documents
December 1, 2024 – April 1, 2025
Implemented a CRISP-DM machine learning pipeline over 150+ contract attributes to automate legal document classification, reducing errors and accelerating reviews, with documented lifecycle aligned to automation goals.
NLP Essentials: Applications To Real-World Problems
Internshala Trainings
August 1, 2025 – Present
Deep Learning Mastery: Data-Intensive
Internshala Trainings
August 1, 2025 – Present
Data Driven- Machine Learning
Internshala Trainings
August 1, 2025 – Present
Python Data Preparation & Analysis
Internshala Trainings
August 1, 2025 – Present
SQL For Data Analysis And Insights
Internshala Trainings
July 1, 2025 – August 1, 2025
Data Visualization With Power BI
Internshala Trainings
May 1, 2025 – June 1, 2025
Data Management And Analysis With MS Excel
Internshala Trainings
April 1, 2025 – May 1, 2025
Data Analytics
Unknown
November 1, 2024 – August 1, 2025
Introduction To Data Analytics
Unknown
November 1, 2024 – November 1, 2024
Cultural Fit Analysis
The candidate's projects are primarily academic and cover a broad range of data analysis and machine learning topics, indicating a strong interest in the field. The target role of 'Data Analyst' aligns well with the skills and tools demonstrated (SQL, Power BI, Excel, Python for analysis). The diversity of projects (retail, airline, legal, sentiment analysis) suggests adaptability and a willingness to explore different domains. However, the lack of significant professional experience beyond a short internship means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate's resume mentions 'Multitasking' and 'Interpersonal skills' as soft skills. Project descriptions indicate an ability to work on diverse data analysis tasks and present insights, suggesting a foundational level of operational fit for data-driven roles. However, without specific examples or interview data, the depth of these soft skills and their application in a professional setting cannot be fully assessed.