Sanjana Kumari

Name: Henil Kotadiya

Job Role: Data Analyst

Experience: 2 Months

Location: Ankleshwar

About

About Me

My expertise in computer science and artificial intelligence and programming, with a specialization in Data Science. With a solid foundation in Data analytics and hands-on experience as a Data Science Intern, I am seeking a challenging role where I can contribute my skills in strategic planning, team leadership, and creative problem-solving to achieve business objectives. I am focused on leveraging data to drive smarter decisions and create impactful strategies.
I am proficient in Python, Excel, SQL, Tableau, Power BI, Machine Learning, Deep Learning, and API and I have honed my skills in data analysis, statistical analysis, and data visualization to deliver actionable insights and drive business growth.

  • Profile: Data Analyst
  • Education: Bachelor Of Computer Science In Information Technology (B.sc.IT)
  • Language: English, Hindi, Gujarati
  • Interests: Traveling, Reading
Tools & Technology
Excel

Excel

Tableau

Python

Tableau

Tableau

Power BI

Power BI

SQL

SQL

Gradio

Gradio

GitHub

GitHub

Matplotlib

Matplotlib

Numpy

Numpy

Pandas

Pandas

Scikit-learn

Scikit-learn

Streamlit

Streamlit

TensorFlow

TensorFlow

Projects

Projects

Below are the analytics projects showcasing my expertise in data analysis, visualization, machine learning and business insights.

Hotel Reservation Cancellation Prediction

Develop robust machine learning models to accurately predict hotel reservation cancellations. By utilizing these models, the company aims to improve revenue management, optimize resource allocation, and potentially implement targeted retention strategies.

Digital Marketing Campaign Conversion Prediction

Develop a robust machine learning model to accurately predict customer conversions based on various demographic and engagement factors. By utilizing this model, the company aims to improve campaign targeting, increase conversion rates, and maximize return on advertising spend (ROAS).

Twitter Sentiment Analysis Project

The primary objective is to harness machine learning techniques to develop predictive models capable of discerning sentiments within tweets accurately. By achieving this, businesses and analysts can gain valuable insights into public perception, aiding in strategic decision-making and enhancing their understanding of the ever-evolving social landscape.

Telecom Customer Churn Prediction

The primary objective is to understand the factors influencing customer churn and build machine learning models to predict churn. By doing so, the telecom company can proactively implement retention strategies, thereby reducing customer attrition and improving overall business performance.

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Ankleshwar, Gujarat, India

LinkedIn

Whatsapp