Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

• Led the development of an end-to-end Big Data application and multiple data pipelines that addressed the three V's of volume, variety, and velocity.
• Designed a system to extract real-time data on specific keywords and push it into a Kafka topic for ingestion and processing.
• Utilized Spark Real-Time Streaming to consume the data from Kafka, then flattened, filtered, and populated a MongoDB with the help of Sink connector. Reduced data processing time by 50% with Spark Streaming.
• Employed Apache Airflow to orchestrate workflow and scheduling on Docker, ensuring efficient and reliable processing.
• Created a Flask-based REST API with various app routes to facilitate data retrieval and manipulation.
• Implemented a CI pipeline with GitHub Actions for automated testing, integration, and deployment.
• Used Fernet for data security and cryptography, ensuring secure data transfer and storage.
• Improved data quality and accuracy by 80% through data cleaning and transformation using Python and SQL. Increased user engagement by 30% through the REST API, enabling easy access to data insights. Developed unit tests achieving a 95% test coverage.
• Visualized data using Python libraries, including Pandas, Matplotlib, and Seaborn, for comprehensive analysis and insight.

Oct 2021 – Feb 2022 · 4 mos · India

Mar 2021 – Aug 2021 · 5 mos · Bengaluru, Karnataka, India

• Conducted research to optimize the pilot pattern position for channel estimation in an OFDM system.
• Employed deep learning techniques to accurately minimize the pilot and maximize data transmission in the system.
• Utilized neural networks to analyze and identify the optimal pilot pattern position for channel estimation.
• Conducted extensive simulations to evaluate the performance of the proposed technique in terms of bit error rate and spectral efficiency.
• Investigated the impact of different parameters, such as the number of subcarriers and the length of the cyclic prefix, on the performance of the system.
• Demonstrated that the proposed technique outperforms conventional pilot pattern selection methods, resulting in improved channel estimation accuracy and higher data rates.

Jul 2020 – Dec 2020 · 5 mos

Apr 2020 – Oct 2020 · 6 mos

• Wrote technical articles on Data Structures, Algorithms, and new technologies for GeeksforGeeks, an online computer science portal with a global audience of millions of readers.
• Collaborated with subject matter experts to develop and deliver high-quality, informative articles on topics such as Machine Learning.
• Conducted thorough research and analysis to ensure accuracy and relevance of content, and incorporated feedback from readers to continuously improve articles.
• Utilized various technical writing tools and techniques to deliver engaging and effective content, including code samples, visual aids, and in-depth explanations.
• Managed and maintained an extensive content library, ensuring content was up-to-date and optimized for search engines.