Dimple Choudhary

Business Analyst

Delhi, India0 mo experience

Key Highlights

Expert in data analysis and economic reasoning.
Proven ability to derive insights from complex datasets.
Passionate about sharing knowledge and learning.

Stackforce AI infers this person is a Data Analyst with a focus on economic insights and data-driven decision-making.

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Skills

Core Skills

Data AnalysisPython

Other Skills

Data VisualizationBUSINESS ANALYTICSData CleaningEDATableauBUSINESS COMMUNICATIONStorytellingBrand ManagementEditingBlockchainProofreadingSmart ContractsSolidityPYTHON BASICMicrosoft Excel

About

I’m interested in exploring how data and economic thinking can be used to understand real-world problems and business decisions. Alongside my academic background in economics, I’ve been developing practical experience in data analysis and working with datasets to uncover patterns, trends, and insights that support better decision-making. Currently, I’m gaining hands-on experience working with data and continuing to build projects that strengthen both my analytical and problem-solving approach. What interests me most is the intersection where data analysis meets economic reasoning — where numbers are not just processed but interpreted in a meaningful way. Here on LinkedIn, I also share parts of my journey — including lessons from my work, projects, economics insights, and a weekly series about my learning journey in analytics and economics. Always open to meaningful conversations and future opportunities where data, analysis, and economic thinking can create real impact. 📩 dimple.choudhary1347@gmail.com

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Uboard india limited

Data Analyst

Jan 2026 – Present · 4 mos · New Delhi, Delhi, India · On-site

Personal project

Data Analysis Consultant (Independent Projects)

Aug 2025 – Aug 2025 · 0 mo · New Delhi, Delhi, India · Remote

Spearheaded an end-to-end data analysis project focusing on customer behavior patterns and demographic trends using Python (Pandas & NumPy).
Executed comprehensive Exploratory Data Analysis (EDA) to clean messy datasets, addressing missing values and outliers to ensure high data integrity.
Segmented customer populations by age and demographic to identify high-value user groups, providing actionable insights for targeted marketing.
Designed and deployed data visualizations using Matplotlib and Seaborn to translate complex statistical findings into clear, business-ready insights.
Managed a technical portfolio documenting the full project lifecycle, from data ingestion to final strategic recommendations.

PYTHONData Analysis