Kakinada, Andhra Pradesh, India
As a Computer Science graduate majoring in Data Science, I am passionate about leveraging advanced technologies to solve complex, real-world problems. With a strong academic foundation from KIET College, I have developed a deep understanding of machine learning, data science, and full-stack development, complemented by hands-on experience with cutting-edge projects and impactful internships. Key Skills & Achievements: Machine Learning & Deep Learning: Expertise in building predictive models, including LSTM, BiLSTM, CNN, and TCN architectures for time-series forecasting and data analysis. Data Science & Analytics: Proficient in data wrangling, visualization, and analysis using Python libraries like pandas, NumPy, matplotlib, and seaborn. Web Development: Skilled in React.js, Node.js, Express, and MongoDB for building dynamic and responsive web applications. IoT Systems: Experienced in real-time data monitoring and sensor integration, including developing an Air Quality Monitoring System to track environmental parameters. AI Applications: Designed intelligent systems for predictive modeling, sentiment analysis, and anomaly detection in various domains. Project Leadership: Led the development of multiple projects, including a Fitness Tracker, Virtual Mouse using Hand Gestures, and a Real-Time Traffic Flow Prediction System. Internships & Experience: Contributed to research and development at IIIT Hyderabad on IoT-based solutions and smart systems. Technical Tools: Languages: Python, JavaScript, SQL Frameworks: React, Flask, TensorFlow, PyTorch IoT: ThingSpeak, ESP32, DHT Sensor Tools: GitHub, Jupyter Notebook, VS Code
• Developed full-stack applications, enhancing user experience and functionality. • Collaborated with team members to troubleshoot and resolve technical issues effectively. • Gained hands-on experience in software development practices and coding standards. • Demonstrated strong performance and conduct throughout the internship period.