I piam a junior to intermediate-level Data Scientist with strong analytical skills and a solid foundation in mathematics and data analysis. I help businesses transform raw data into meaningful insights that support smart decision-making and business growth.
With hands-on experience working on data analysis projects, I understand how to clean, organize, analyze, and interpret data to solve real-world problems. I focus on accuracy, clarity, and delivering results that are easy to understand and actionable.
My Services Include:
Data Cleaning & Preparation
I organize and clean messy datasets by handling missing values, removing duplicates, correcting errors, and preparing data for analysis.
Exploratory Data Analysis (EDA)
I analyze datasets to identify patterns, trends, and relationships that can help businesses understand their performance and opportunities.
Data Visualization & Reporting
I create clear charts, dashboards, and reports that present complex data in a simple and professional way using Excel, Python, or Power BI.
Predictive Modeling & Machine Learning
I build basic to intermediate-level machine learning models such as regression and classification models to forecast trends, predict outcomes, and support business planning.
SQL & Database Queries
I write SQL queries to extract useful information from databases and generate business reports.
Business & Customer Analysis
I analyze sales data, customer behavior, and operational data to provide insights that improve efficiency and profitability.
Tools & Technologies:
Python (Pandas, NumPy, Scikit-learn, Matplotlib)
SQL
Excel
Power BI
As a growing Data Scientist, I am continuously improving my skills and staying updated with modern data tools and techniques. I am detail-oriented, reliable, and committed to delivering high-quality work on time.
My goal is to help businesses make data-driven decisions with confidence and clarity.