About
Dynamic Data Analyst and aspiring Data Scientist adept at leveraging Python, SQL, and Power BI for advanced data visualization and statistical modeling. Proven ability to extract actionable insights through comprehensive EDA and data cleaning, developing robust classification models, and driving data-driven business decisions. Eager to apply expertise in machine learning and analytical tools to solve complex problems and contribute to impactful projects.
Work
India, Remote, India
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Summary
Currently serving as a Data Science Intern at Saiket Systems, responsible for preprocessing large datasets and developing machine learning models for classification and regression tasks.
Highlights
Streamlined data preparation by cleaning and preprocessing large-scale real-world datasets using Python, Pandas, and NumPy, enhancing data quality for analytical models.
Engineered and validated machine learning models for diverse classification and regression tasks, contributing to predictive analytics capabilities.
Sydney, New South Wales, Australia
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Summary
Completed a virtual internship with Deloitte Australia, focusing on data analytics, forensic technology, and developing interactive dashboards for business insights.
Highlights
Successfully completed a Deloitte job simulation, applying data analytics and forensic technology principles to complex business scenarios and enhancing problem-solving skills.
Designed and implemented an interactive data dashboard using Tableau, providing key business insights and improving data accessibility for stakeholders.
Skills
Programming Languages
Python, SQL.
Data Analysis & Machine Learning
EDA, Machine Learning, Pandas, NumPy, Scikit-learn, Data Cleaning, Classification Models, Regression Tasks.
Data Visualization & Business Intelligence
Power BI, Tableau, Data Visualization, Microsoft Excel, Matplotlib, Seaborn, Streamlit.
Development Tools & Platforms
Jupyter Notebook, Git, GitHub.
Professional Skills
Time Management, Teamwork, Effective Communication, Problem Solving.