Programming Languages: Python(Data Structures), Java, SQL, NoSQL, Unix/Linux
Databases Systems: Hive, Cassandra, MongoDB, Docker, Relational databases, Distributed Computing
Big Data: Apache Hadoop, Spark, Flink, Kafka, Data Warehousing, Snowflake
Cloud & DevOps: GCP (BigQuery, Spanner, DataFlow), Microsoft Azure (Data Factory, Synapse, Cosmos DB), Jenkins(CI/CD), Git, Airflow
Developed an advanced Level 3 self-driving bike simulation system utilizing computer vision technology by generating a custom YOLOv2 object detection model tailored to prioritize heavy vehicles such as trucks and buses, while also incorporating precise animal detection, inspired by a real-world Indian case study.
Implemented waveform modulation technique cyclic-prefix (CP-OFDM) alongside DFT-s-OFDM on 5G downlinks and uplink signals over different QPSK and QAM techniques in order to provide LTE solution for non- standalone (NSA) 5G NR.
Created a machine learning Flask web app for candidate hiring portals which predicts the personality of a candidate only through the resume prior to the actual assessment henceforth reducing the cost and time taken by a company to hire a candidate, inspired by Myers-Briggs’s personality test.