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Aspiring Data Analyst | Transforming complex data into actionable insights
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Assessing your cultural and operational fit
E-Commerce_Data_Analysis
August 21, 2025 – August 21, 2025
This project focuses on analyzing key aspects of an e-commerce business, including sales, customer behavior, product performance, and supplier analysis. Using MySQL for data extraction andt
View Projectaspire_assignment
February 12, 2025 – February 13, 2025
aspire_assignment — GitHub repository
View Projectnyc_yellow_taxi_trip_data
February 10, 2025 – February 10, 2025
This project analyzes NYC Yellow Taxi trip data to uncover key trends and insights related to trip volume, passenger behavior, fare distribution, and revenue patterns. Using Python for data processing and Power BI for visualization, we provide an interactive dashboard highlighting critical aspects of taxi operations in NYC.
View ProjectKnorex_assignments
December 21, 2024 – December 21, 2024
Knorex_assignments — GitHub repository
View ProjectB41_DA_029_Model_Makers
December 17, 2024 – December 22, 2024
B41_DA_029_Model_Makers — GitHub repository
View ProjectGDSC-Dashboard
November 12, 2024 – August 21, 2025
This project provides insights into the Genomics of Drug Sensitivity in Cancer (GDSC) dataset, exploring the sensitivity of various cancer types to specific drugs. The dataset enables analysis of drug efficacy, cancer treatment effectiveness, and pathway sensitivities.
View ProjectGDSC-Dashboard
November 12, 2024 – November 25, 2024
This project provides insights into the Genomics of Drug Sensitivity in Cancer (GDSC) dataset, exploring the sensitivity of various cancer types to specific drugs
View ProjectIndia_EV_Market_Analysis
October 1, 2024 – Present
This project analyzes the Indian EV market from 2001-2024, focusing on growth trends, policies, infrastructure, key players, sales data, and consumer preferences. It provides insights into market drivers, challenges, and future prospects, offering a concise view of India's EV evolution.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data analysis, which aligns with a Data Scientist role. However, the projects are all personal and lack diversity in terms of team collaboration or real-world business impact. The absence of professional experience or education makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.