Varun Yadav Dhoodimetla
Www.linkedin.com/in/varun-yadav-dhoodimetla-9b19a2349
New Haven,CT
Summary
Results-driven data scientist with expertise in machine learning, AI, and software development. Proficient in Python, Java, and C++, with a strong ability to analyze data and build innovative solutions. Passionate about solving complex problems and driving impactful results.
Overview
5
5
Languages
Education
Master of Science - Data Science
University of New Haven
West Haven, CT 05.2001 -
Bachelor of Science - Artificial Intelligence
Anurag University
Hyderabad 05.2001 -
Skills
Natural Language Processing (NLP)
Data And Ai Projects
- Internet of Things (IoT) Smart Solutions, Built IoT-based applications for data-driven decision-making and automation. Leveraged Python, Node-RED, and MQTT for IoT sensor data processing and automation. Integrated IoT devices for smart homes, monitoring systems, and predictive maintenance.
- Sentiment Analysis, Developed a machine learning model for sentiment classification using the Naive Bayes Algorithm. Achieved 85% accuracy in sentiment classification from a variety of text datasets.
- Intrusion Detection System, Designed and built a machine learning-based model to identify unauthorized access and security threats in networks. Utilized Python, Random Forest, KNN, SVM algorithms for anomaly detection and classification of network traffic. Accuracy: Achieved 90% accuracy in detecting intrusions.
- Early Detection of Cardiac Arrest in Newborns Using Machine Learning, Developed a machine learning model to predict early signs of cardiac arrest in newborns in the Cardiac Intensive Care Unit (CICU). Utilized statistical models, Python, and scikit-learn to analyze health data and identify risk factors for heart-related issues. Applied various algorithms, including Logistic Regression, K-Nearest Neighbors (KNN), Decision Tree Classifier, XGBoost Classifier, and Support Vector Machine (SVM) for classification and prediction. Focused on early-stage detection to enable timely medical intervention. Accuracy: Achieved 92% accuracy in predicting cardiac events, improving early intervention rates.
Professional Certifications And Memberships
- C for Everyone: Programming Fundamentals – Coursera
- Object Oriented Programming Using Python – Infosys Springboard
- Introduction to Natural Language Processing – Analytics Vidhya
- Cybersecurity Essentials – Cisco Networking Academy
Core Competencies
Natural Language Processing (NLP), Statistical Analysis, Predictive Modeling, Big Data Analytics, Python, SQL, HTML, Power BI, MY SQL, C, QuickSight, Business Planning, Market Research, Competitive Analysis
Timeline
Master of Science - Data Science
University of New Haven
05.2001 -
Bachelor of Science - Artificial Intelligence
Anurag University
05.2001 -
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