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Hi there, I'm Vishruti Patel! πŸ‘‹

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πŸ“Š Data Analyst | Business Intelligence Engineer | Data Storyteller

πŸ“ Dublin, CA | πŸ› οΈ H1B Visa Holder


πŸš€ What I Bring to the Table

I’m a data-driven problem solver with a proven track record of turning raw data into actionable insights that drive business growth. With 5+ years of experience, I specialize in data analytics, KPI management, and business intelligence. My expertise lies in leveraging tools like Python, SQL, Tableau, and Snowflake to solve complex business problems and deliver measurable results.


πŸ› οΈ My Toolkit (Expanded)

Languages & Frameworks

Python SQL R PySpark REST APIs

Data Visualization & BI Tools

Tableau Power BI Matplotlib Seaborn Plotly Looker Google Analytics

Databases & Data Warehousing

Snowflake PostgreSQL BigQuery MySQL Redshift MongoDB

ETL & Data Pipelines

Apache Airflow Talend Informatica dbt Apache Kafka

Cloud & DevOps

AWS GCP Azure Docker Kubernetes

Machine Learning & Advanced Analytics

Scikit-Learn TensorFlow Pandas NumPy Hadoop

Other Tools

Excel Jupyter Git Datadog Alteryx


πŸ’‘ What I’ve Achieved

  • Optimized Product Features: Conducted A/B testing and regression analysis to improve user experience, resulting in a 15% increase in feature adoption.
  • Real-Time KPI Dashboards: Built Tableau and Power BI dashboards that enabled real-time monitoring of KPIs, driving faster decision-making.
  • Customer Segmentation: Analyzed customer data to identify high-value segments, leading to a 10% increase in retention rates.
  • Automated Analytics: Partnered with cross-functional teams to automate analytical processes, reducing manual effort by 30%.
  • Data Storytelling: Created compelling visualizations that simplified complex datasets, enabling stakeholders to grasp insights at a glance.

πŸ“Š Data Analytics in Action

Here’s a glimpse of how I approach data analytics:

# Example: Data Cleaning & Analysis with Python
import pandas as pd
import numpy as np

# Load data
data = pd.read_csv('business_data.csv')

# Clean data
data.dropna(inplace=True)
data['Revenue'] = data['Revenue'].apply(lambda x: float(x.replace('$', '').replace(',', '')))

# Analyze data
revenue_by_region = data.groupby('Region')['Revenue'].sum().sort_values(ascending=False)

# Visualize results
import matplotlib.pyplot as plt
revenue_by_region.plot(kind='bar', title='Revenue by Region')
plt.show()

πŸ“Š GitHub Stats

Vishruti's GitHub Stats Top Langs

Explore more of my work on my GitHub Projects page!

🌟 Let's Connect!

I'm always excited to collaborate on data-driven projects and exchange ideas. Feel free to connect with me on LinkedIn or check out my latest work on GitHub.

Vishruti Patel's Projects

ctci icon ctci

workspace for practicing concepts of data structure and algorithms

engagement-analysis icon engagement-analysis

Performing user engagement analysis on given dataset of user activity and recommendations

h1b-statestics icon h1b-statestics

analyzing h1b / job market dataset using python and Jupyter Notebooks

llm-engineers-handbook icon llm-engineers-handbook

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

my-blog icon my-blog

writing my journey and learnings using mkdocs material blog.

python icon python

All Algorithms implemented in Python

sentiment-analysis icon sentiment-analysis

performing sentiment analysis of large amazon reviews dataset using hadoop-mapreduce

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