About MONU
Data Analyst with skills in Python, SQL, Excel, and Power BI. Experienced in EDA, data visualization, and machine learning through internships and training programs. Seeking entry-level opportunities to apply data-driven problem-solving skills.
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Skills
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Advance Excel
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Data Analysis
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Data cleaninig
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Data Collection
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Data processing
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Data Visualization
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Excel
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PowerBI
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Python
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SQL
Work Experience
OCT 2024- Nov 2024
Data Analysis
VOIS
Collected, cleaned, and analyzed large datasets to support business decision-making.
Built dashboards and reports using Excel and Power BI to track performance metrics.
Identified trends and patterns to improve operational efficiency.
Collaborated with team members to deliver data-driven insights for project planning.
Automated routine reports, reducing manual effort and improving accuracy.
April 2024 - july 2024
Data science
Eduskills
Completed hands-on training in Data Science covering Python, statistics, and machine learning fundamentals.
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Pandas and NumPy.
Built and evaluated machine learning models such as k-NN and Random Forest for prediction tasks.
Visualized insights using Matplotlib, Seaborn, and Power BI to support data-driven decisions.
Worked on real-world datasets to identify patterns, trends, and actionable insights.
Collaborated on project assignments and documented findings in structured reports.
Education & Training
6 months
python for data science and machine learning bootcamp
Udemy
Completed comprehensive training in Python for data science, covering NumPy, Pandas, Matplotlib, and Seaborn. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on real-world datasets. Built and evaluated machine learning models including k-NN, Linear Regression, and Random Forest. Applied supervised learning techniques for classification and prediction tasks. Created data visualizations and dashboards to communicate insights effectively. Strengthened understanding of statistics, model evaluation, and performance metrics.
6months
Data Analysis using python
Techvidvan
Completed structured training in data analysis using Python, Excel, and data visualization tools. Performed data cleaning, transformation, and exploratory data analysis (EDA) on sample datasets. Used Pandas and NumPy for data manipulation and statistical analysis. Created charts and visual reports using Matplotlib and Seaborn to present insights. Gained practical knowledge of data interpretation and reporting for business decision-making. Worked on mini-projects to apply analytical techniques to real-world scenarios.