About
Highly analytical and results-driven Data Analyst with a strong foundation in Python, SQL, and data visualization tools like Power BI and Tableau. Proven ability to develop and deploy predictive models, perform statistical analysis, and translate complex datasets into actionable business recommendations. Eager to leverage expertise in machine learning, data modeling, and database management to drive data-informed decision-making and contribute to organizational growth in a dynamic tech environment.
Work
Virtual, Andhra Pradesh, India
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Summary
Built and deployed a regression model for accurate housing price estimation, utilizing advanced data cleaning and feature engineering techniques.
Highlights
Developed a robust regression model, incorporating area, location, and room data, to accurately estimate housing prices.
Performed extensive data cleaning, normalization, and one-hot encoding on raw housing data, significantly improving model input quality.
Implemented and deployed the model via Streamlit, providing an intuitive interface for interactive and real-time housing price predictions.
Virtual, Andhra Pradesh, India
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Summary
Developed and deployed a logistic regression model to predict loan approvals, enhancing decision-making through financial and credit data analysis.
Highlights
Engineered a logistic regression model to accurately predict loan approvals, leveraging comprehensive financial and credit datasets.
Executed robust data preprocessing, including handling missing values and implementing label encoding, to prepare clean and effective input features.
Deployed a responsive Streamlit interface for the model, enabling real-time, interactive loan prediction capabilities.
Virtual, Andhra Pradesh, India
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Summary
Designed and implemented a comprehensive relational database system for HR management, enabling efficient data storage and complex analytical querying.
Highlights
Designed and implemented a normalized relational database architecture comprising 7 interrelated tables, optimizing data integrity and retrieval.
Authored complex SQL queries, including advanced joins, filtering, and aggregations, to facilitate in-depth analysis of employee, job, and department data.
Demonstrated strong proficiency in database design, querying, and management, ensuring robust structured data solutions for HR systems.
Languages
English
Skills
Data Analysis & Visualization
Pandas, NumPy, Matplotlib, Tableau, Power BI, Excel, PySpark, Statistical Analysis, Data Modeling.
Machine Learning & AI
Scikit-learn, TensorFlow, NLP, Supervised Learning, Unsupervised Learning, Regression Models, Logistic Regression, Predictive Modeling.
Database Management
MySQL, MongoDB, Relational Database Design, SQL Queries, Data Management.
Problem Solving
Algorithmic Thinking, Data Structures, Algorithms.
Programming Languages
Python, R, SQL.
Tools & Frameworks
VS Code, Google Colab, Jupyter Notebook, Git, GitHub, PowerPoint, Streamlit.