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Work Experience
Data Science Intern
Innodatatics•  December 2022 - Present•  Hydrabad/Remote
During my internship at InnoDataTics, I had the opportunity to apply my data science skills in a professional setting, contributing to various data-driven projects and gaining hands-on experience in advanced analytics and machine learning. My key responsibilities and accomplishments included: Data Analysis and Visualization: Analyzed large datasets to extract meaningful insights using Python and SQL. Created visualizations with tools like Matplotlib and Seaborn to present findings to stakeholders. Machine Learning Model Development: Developed and implemented machine learning models for predictive analytics, including regression, classification, and clustering algorithms. Utilized libraries such as Scikit-learn and TensorFlow. Data Preprocessing: Conducted data cleaning and preprocessing to ensure data quality and integrity. Applied techniques for handling missing values, outliers, and feature scaling. Developed a Bird Detection & Tracking system using YOLOv8 for healthcare monitoring, integrating real-time image capture with a Flask web app. Optimized transportation costs in supply chain management using Python's Pulp library and Excel Solver, presenting findings with Tableau. Analyzed manufacturing and production losses in a cement plant with Python, applying EDA and time series analysis, and visualized results using Tableau.
ML Intern
The Sparks Foundation•  January 2024 - February 2024•  Remote
Education
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