About
Highly motivated Computer Science & Engineering student with a strong foundation in data science and analytics, demonstrated through an impactful internship and advanced projects. Proficient in leveraging Python, SQL, and machine learning algorithms for data preprocessing, predictive modeling, and developing interactive dashboards. Eager to apply analytical thinking and technical expertise to drive data-driven decision-making and deliver innovative solutions in a dynamic environment.
Work
Remote, India
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Summary
As a Data Science & Analytics Intern, I executed end-to-end data science projects, leveraging machine learning and data visualization to deliver actionable insights and support data-driven decision-making.
Highlights
Executed end-to-end data science projects, performing comprehensive data preprocessing and exploratory data analysis on diverse datasets to inform predictive modeling strategies.
Applied various machine learning algorithms (e.g., Scikit-learn) to structured datasets, generating actionable insights that supported data-driven decision-making processes for business stakeholders.
Developed proficiency in Python, Pandas, NumPy, Matplotlib, and Scikit-learn, applying these tools to enhance data manipulation, statistical analysis, and visualization capabilities across multiple projects.
Designed and developed interactive dashboards and visual reports using tools like Power BI and Tableau, enhancing data accessibility and supporting informed decision-making for internal teams.
Collaborated effectively with cross-functional teams to translate complex business requirements into robust analytical solutions, improving project alignment and delivery of impactful data products.
Education
Skills
Programming Languages
Python, SQL, Java.
Data Science Libraries/Frameworks
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly.
Data Visualization & BI Tools
Power BI, Excel, Tableau, Plotly.
Databases
MySQL, SQLite, PostgreSQL.
Development Environments
PyCharm, Jupyter Notebook, Visual Studio Code, IntelliJ IDEA.
Core Competencies
Data Preprocessing, Exploratory Data Analysis (EDA), Predictive Modeling, Machine Learning, Time Series Analysis, Data Visualization, Dashboard Development, Statistical Analysis, Cross-functional Collaboration, Analytical Thinking, Problem Solving, Communication.