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Shilpa Shri

Shilpa Shri

Data Analyst

Nagarbhavi, Bengaluru
85
Profile Score

About

Results-driven Data Analyst and 2024 B.Tech graduate with hands-on expertise in SQL, Python, Power BI, Tableau, and Excel. Demonstrated ability to transform complex, multi-source datasets into clear business insights and interactive dashboards that support strategic decision-making. Completed two industry job simulations (British Airways & Quantium) and built data analytics projects covering sales forecasting, customer segmentation, and multi-dataset SQL analysis. Actively seeking a Data Analyst or Business Analyst role where I can contribute immediately and grow within a data-driven organization.

Skills & Expertise (39)

Python Advanced
8.1/10
2
Years Exp
SQL Intermediate
7.5/10
2
Years Exp
Power BI Intermediate
7.2/10
1
Years Exp
Tableau Intermediate
6.8/10
1
Years Exp
Excel Intermediate
6.5/10
2
Years Exp
Supervised Learning Attention to Detail Unsupervised Learning Regression Classification Clustering Generative AI Tools Descriptive Statistics Inferential statistics Hypothesis Testing Probability Distributions Bayes' Theorem Sampling Problem-solving Communication Time management Teamwork Google Colab Pandas NumPy Matplotlib Seaborn Plotly MySql Postgresql Jupyter Notebook Data Storytelling GitHub DAX Power Query EDA Data Cleaning Dashboard Design KPI Reporting

Work Experience

Data Science Virtual Intern

British Airways

Nov 2025 - Dec 2025

Scraped and analyzed 1,000+ customer reviews to uncover key satisfaction drivers and pain points using Python (BeautifulSoup, pandas). Conducted sentiment analysis on customer review text, identifying top complaint categories that impact brand perception. Built a predictive classification model to identify factors influencing customer buying behaviour with 78%+ accuracy. Presented findings through data-driven storytelling, highlighting actionable recommendations to improve customer experience.

Data Analytics Virtual Intern

Quantium

Feb 2025 - May 2025

Analyzed customer transaction datasets containing 500K+ records to extract purchasing patterns and deliver commercial recommendations to retail category managers. Identified benchmark stores for uplift testing on trial store layouts using statistical analysis, enabling evidence-based decisions on retail expansion. Built comprehensive analytical reports with visualizations translating raw data into strategic insights for the Category Manager. Applied customer segmentation techniques to identify high-value customer groups and recommend targeted strategies.

Education

Bachelor of Engineering in Information Science & Engineering - Global Academy of Technology

2020 - 2024 · Afghanistan

Certifications

Google Data Analytics Professional Certificate

Coursera / Google · 2025

Microsoft Power BI Data Analyst (PL-300 Prep)

Microsoft Learn · 2025

SQL for Data Science

Great Learning · 2025

Microsoft Excel for Data Analysis

Udemy · 2025

Python for Data Science & Machine Learning

Kaggle Learn · 2025

HackerRank SQL Certificate (Intermediate)

HackerRank · 2025

Tata Data Visualisation: Empowering Business with Effective Insights

Forage · 2025

Quantium Data Analytics Job Simulation

Forage · 2025

British Airways Data Science Job Simulation

Forage · 2025

TechA Data Visualization using Tableau Developer Certification

Infosys · 2024

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceMar 2026

Skills (39)

Python SQL Power BI Tableau Excel Supervised Learning Attention to Detail Unsupervised Learning Regression Classification +29 more