Water Quality Prediction Model
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Summary
Developed a robust predictive model to classify water quality based on real-world datasets, providing actionable insights for public health decision-making.
About
Highly analytical and detail-oriented professional with dual degrees in Artificial Intelligence, Machine Learning, and Computer Science. Proven ability to leverage Python, SQL, and advanced ML techniques to develop data-driven solutions. Eager to apply strong problem-solving and technical skills to contribute to innovative data science and machine learning initiatives, transforming complex data into actionable insights.
Education
Manipal Academy of Higher Education, Manipal
Manipal, Karnataka, India
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M.E.
Artificial Intelligence and Machine Learning
Grade: 7.6/10 CGPA
RNS Institute of Technology, Bangalore
Bangalore, Karnataka, India
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B.E.
Computer Science and Engineering
Grade: 7.9/10 CGPA
Skills
Programming Languages
Python, R.
Databases & Operating Systems
MySQL, Windows.
Machine Learning
Supervised Learning, Unsupervised Learning, XGBoost.
Data Analysis & Visualization Tools
Power BI, Excel, Google Collab, Jupyter.
Libraries & Frameworks
Pandas, Numpy, Matplotlib, Sci-kit learn, Seaborn.
Data Engineering & Analytics
Data Preprocessing, Feature Engineering, Data Cleaning, ETL, Dashboard Design, Predictive Modeling.
Soft Skills
Critical Thinking, Problem Solving, Effective Communication, Team Player.
Projects
Employee Presence Analytics Dashboard
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Summary
Designed and developed a comprehensive data analytics dashboard in Power BI to analyze employee presence data, from raw data ingestion to insightful visualization.