I am an aspiring Data Analyst with hands-on experience in Python, Pandas, and Exploratory Data Analysis (EDA). I am skilled in data cleaning, visualization, and extracting meaningful insights from datasets to support data-driven decisions.
Currently working as a Data Science Intern at DevSil.com, I am gaining real-world experience by applying data analysis techniques to actual datasets, learning core data science workflows, and developing a solid foundation in machine learning.
I am currently expanding my knowledge in Data Science and Machine Learning while strengthening my analytical and problem-solving skills. My goal is to build a career where I can turn raw data into meaningful, actionable business insights.
My Mission: To apply data analysis and visualization skills to help organizations make smarter, evidence-based decisions.
My Vision: To grow into a well-rounded Data Scientist who can handle every stage of the data pipeline — from raw collection to predictive modelling.
What I Do
My Expertise
Data Analysis
Cleaning, wrangling, and analyzing datasets to extract meaningful patterns and business insights.
EDA
Performing in-depth Exploratory Data Analysis to understand distributions, correlations, and anomalies.
Data Visualization
Creating clear, compelling charts and dashboards using Matplotlib and Seaborn to communicate findings.
Machine Learning
Applying fundamental ML concepts and Scikit-Learn to build predictive models on real-world datasets.
Python Programming
Writing clean, efficient Python code for data manipulation, analysis, and visualization pipelines.
Business Insights
Translating technical data findings into clear, actionable business recommendations for stakeholders.