E-comm Customer Segmentation
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Summary
Analyzed e-commerce customer data to develop segmentation strategies aimed at improving targeting and boosting customer engagement.
Passionate undergraduate specializing in Artificial Intelligence and Data Science, with hands-on experience in data analysis, machine learning, and cloud technologies. Eager to leverage strong technical skills in Python, TensorFlow, SQL, and Power BI to solve real-world problems and contribute to data-driven decision-making in a dynamic entry-level Data Analyst role.
Data Science & Analytics Intern
Maharashtra, Maharashtra, India
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Summary
Collaborated on data analysis and machine learning initiatives, transforming real-time datasets into actionable insights to inform strategic decisions.
Highlights
Executed comprehensive exploratory data analysis (EDA) and data visualization on real-time datasets, utilizing Python to identify critical trends and patterns.
Developed foundational predictive models and assisted in building machine learning solutions, contributing to data-driven decision-making.
Presented key data insights and model outcomes to internal teams using Power BI, facilitating clearer understanding and strategic alignment.
Data Science Intern
Nagpur, Maharashtra, India
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Summary
Designed and implemented robust data preprocessing and feature engineering solutions, developing efficient data pipelines for classification problems.
Highlights
Conducted extensive data preprocessing and feature engineering to optimize datasets for classification problems, enhancing model readiness.
Developed and implemented machine learning models for classification tasks, contributing to predictive analytics capabilities.
Engineered efficient data pipelines using Python and Matplotlib, streamlining data handling and visualization processes.
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Bachelor of Technology (B.Tech)
Artificial Intelligence and Data Science
Awarded By
Achieved 3rd Runner-up position in the Google Arcade competition.
Python, SQL, C++, Java.
Power BI, Data Cleaning, Data Visualization, MS Excel, NumPy, Pandas, Matplotlib, Exploratory Data Analysis (EDA).
Machine Learning, Deep Learning, TensorFlow, CNN, scikit-learn, Predictive Modeling, Classification Problems.
MySQL, MongoDB, PostgreSQL, SQL, Database Management.
AWS.
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Summary
Analyzed e-commerce customer data to develop segmentation strategies aimed at improving targeting and boosting customer engagement.
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Summary
Conducted a comprehensive sales analysis project to identify key trends and patterns in pizza sales data, informing strategic decision-making.