Profile:

• Data Analyst with a strong research background and hands-on experience in data cleaning, exploratory data analysis, and statistical modeling using Python and R
• Analyzed complex genomic, environmental, and socio-economic datasets, delivering actionable insights to support research and conservation
• Seeking an entry-level data analyst or research assistant role

Technical Skills:

• SQL (basic)
• Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn basics)
• R (Data manipula_on, visualiza_on, sta_s_cal analysis)
• Jupyter Notebook
• QGIS (basic)
• MS Excel (data handling, CSV)

Data & Analysis:

• Exploratory Data Analysis (EDA)
• Data Cleaning & Preprocessing
• Feature Engineering
• Hypothesis Tes_ng
• Sta_s_cal Analysis

Research & Data Experience:

• Weather & Air Quality Analysis ? exploratory analysis of pollutant & meteorological data
• Forest Fire Risk Analysis ? assessment of environmental & weather-related risk factors
• Student Performance Analysis ? analysis of academic & socio-economic variables
• Child Labour Data Analysis ? exploration of regional & socio-economic patterns
• Gaming Habits Analysis ? behavioral data analysis focusing on usage patterns