Vybhav Kothareddy

Results-driven Data Engineer with expertise in designing, testing, and maintaining data management systems. Demonstrated proficiency in database design and data mining, leveraging machine learning to enhance strategic decision-making. Achievements include optimizing data retrieval processes and significantly improving system efficiency. Committed to utilizing advanced analytical skills to drive business growth.

Review and further prospects of plant disease detection using Machine Learning

May 2021

Journal URL: https://ijsrcseit.com/CSEIT217324

• Agriculture is the field that helps in the economic growth of a country. But this is lacking behind in using new technologies of machine learning. These techniques help in getting the maximum yield of crops. Many methods of machine learning are applied in agriculture to improve the yield rate of crops. Hence we can improve the performance by checking the accuracy between other crops.
• Deep Learning and Sensor technologies do implement in many farming sectors. These techniques will solve the problems of farmers in the agriculture field. This will help in improving the sustainable and economic growth of a country

End-to-End Data Pipeline for Real-Time E-commerce Analytics

• Designed and implemented a scalable real-time data pipeline to analyze e-commerce website traffic and customer behavior.
• Ingested large-scale, real-time data using Apache Kafka from multiple sources, including website logs and APIs.
• Processed streaming data with Apache Spark (pyspark) for real-time transformations and batch processing.
• Stored raw and processed data in Google BigQuery and Google Cloud Storage, leveraging efficient schema design for analytics.
• Built automated ETL workflows with Apache Airflow and Cloud Composer to clean, transform, and load data into a data warehouse.
• Developed interactive dashboards using Power BI/Tableau to visualize key metrics like daily active users, sales trends, and conversion rates.
• Implemented monitoring and alerting solutions using GCP Cloud Monitoring and Pub/Sub to ensure pipeline reliability.
• Optimized pipeline performance to handle high data volume, improving processing time by 30%.
• Tools & Technologies: Google Cloud Platform (BigQuery, Cloud Composer, Cloud Storage, Pub/Sub), Apache Kafka, Apache Spark, Python, SQL, Power BI/Tableau, Git.

Categorization and Conceptual Representation of Human Psychology in the Action of Decision-Making

• This study has focused on explaining the ways human cognitive psychology influences decision-making and the ultimate outcomes.
• Deep learning facilitates decision-making in selecting appropriate treatment plans. Unconscious motives and interpersonal issues are some of the factors that negatively influence the decision-making process and this enhances the risks of making biased decisions.
• Implemented and fitted Machine learning models on top of the data to analyze the performance of each one and speculate.
• Developing the algorithms from scratch has provided vast understanding on the background working of each ML algorithm.

LPUIH2020 : Solar agriculture and crop protection

• This project is developed using the Arduino programming and IoT analytics,this project explains how a solar energy source used in agriculture and to maintain soil moisture balance , sufficient water requirements and security of crop area from other animals.
• This component applied data mining to analyze the data for predicting suitable temperature, humidity, and soil moisture from sensors for optimal future management of crops growth using Data Analysis.
• Developing this project helped me understand the real-world projects and the architecture involved.
• Tools and Technologies: Arduino, Python, postman, C#, SQL Server, Github.

• Achieved 3rd place in university level in LPU smart india hackathon 2020
• Received Journal Publication for 'Review and Further Prospects of Plant Disease Detection Using Machine Learning' from IJSRCSEIT
• Received a 'Elite' certification in completion of 'python for data science' from NPTEL
• Achieved 2nd prize in photography competition held by Youthvibe in 2018
• Received an 'Elite' Certification in completion of 'programming in java' from NPTEL