Indhu Muraleedharan

Dedicated, Teamwork-oriented, Innovative, and Motivated Data Analyst Professional with a wealth of Knowledge. Proficient in Programming languages such as Python and Advanced Python with extensive experience in database management systems like SQL. Skilled in Data Visualization and reporting tools such as Tableau and Power BI. Excellent Leadership and Experiments skills with a track record of successful project. Seeking a Career-Advancing position as a Qualified Data Analyst and hoping to conquer in both personal and professional spheres of life.

• Big Data, Data Science, National Council for Technical and Training from Luminar Technolab, Kochi
• Certificate of Completion of Virtual Internship in Data Visualization: Empowering Business with Effective Insights from TCS, Forage
• Certificate of Completion of Virtual Internship Program in Machine Learning from CodSoft
• Basic Program in LATEX

• Video Game Sales Analysis

Perform necessary data cleaning, preprocessing, and handling missing values. Identify and Analyze the total sales and trends in video games sales over the years. Examine the performance of different gaming platforms and genres. Generate summary statistics to understand the basic characteristics of data and create visualizations (e.g., bar charts, donut charts, line graphs).

• Customer Churn Prediction

Developing a model to predict customer churn for a subscription-based service or business by using historical customer data, including features like usage behavior and customer demographics. Experimented with algorithms like Logistic Regression, Random Forests, or Gradient Boosting to predict churn.

• Iris Flower Classification

Developing a machine learning model to build a classification model that can accurately identify the species of Iris flowers based on their measurements.  These species distinguished based on measurements such as sepal length, sepal width, petal length and petal width. The model aims to automate the classification process of Iris flowers into one of the three species based on their measurements.