I am a highly motivated data analytics professional with a strong foundation in Python for data analysis, data visualization (Power BI, Tableau), and data wrangling using Pandas and NumPy. Through a rigorous bootcamp program, I’ve developed proficiency in extracting, cleaning, and transforming raw data from diverse sources (CSV, Excel, APIs) into actionable business intelligence. I work comfortably in Jupyter Notebook, and I follow industry-standard practices using Git, GitHub, and VS Code for version control and collaborative development.

My analytical toolkit includes:

1. Exploratory Data Analysis (EDA) to uncover patterns and trends,

2. Building interactive dashboards and visual reports for stakeholders using python and Business Intelligence tools.

3. Familiarity with SQL for querying relational databases.

4. Exposure to statistical modeling, predictive analytics, and machine learning algorithms.

5. Understanding of automation using Python scripting to streamline repetitive tasks.

6.  Familiarity with streamlit for building and publishing interactive web and data apps.

I'm currently expanding my expertise in supervised/unsupervised learning, regression models, classification algorithms, and end-to-end ML pipeline and workflows, with the goal of delivering data-driven solutions at maximum scale.

My career objective is to join a forward-thinking organization where I can contribute to data-driven decision-making, leverage advanced analytics, and evolve into a Data Scientist or ML Scientist adding long-term value through AI-driven automation and scalable data infrastructure.