Data Engineer Resume

Candidate Pitch:

Dynamic data solutions architect with a strong foundation in Data Science and specialized skills Research Associate (Consultant), Talent Neuron, formerly Gartner, Bangalore (Remote) September 2023 - Present • Conducting in-depth qualitative and quantitative research for data-driven strategic insights. • Designing and presenting interactive dashboards and reports, aiding data-informed decision. • Collaborating on research proposals, architecting innovative data solutions for enhanced efficiency. • Tools and Tech: R programming, Hadoop, PowerBI, NoSQL Data Analyst (Intern), IPLIX Media, Delhi (Remote) January 2022 - October 2022 • Led scalable data solutions design and implementation for large dataset processing. • Optimized backend analytics pipelines for social media marketing, enhancing decision-making. • Spearheaded NoSQL database integration to improve data storage and retrieval reducing latency. • Tools and Tech: Hadoop, MongoDB, Cassandra, Python Data Mining Analyst (Intern), Mosil Lubricants, Mumbai (Hybrid) August 2021 - February 2022 • Collaborated with teams to align data mining with business goals boosting market identification by 15 • Analyzed key datasets to aid business strategies through data manipulation and dashboards. • Tools and Tech: SQL, Python Big Data Solutions Architecture, Conestoga College, Kitchener, ON January 2024 - Present Post Graduate Diploma Data Science and Bioinformatics, Dr. D Y Patil School of Biotechnology and Bioinformatics, Mumbai January 2019 - October 2023 Bachelor of Technology Biological Network Analysis and Inhibition of Protein Kinases in Breast Oncology, Dr. D Y Patil School of Biotechnology and Bioinformatics March 2022 • Implemented Big Data Analytics in cloud environments to investigate kinase, oncogenes activities. • Engineered complex models and bioinformatics pipelines. • Leveraged predictive analytics and high-throughput data analysis for drug targeting, discovery, streamlining treatment efficacy validation. • Tools and Tech: Python, R, GCP, Java Programming: Java, Python, R Programming Big Data: Hadoop (Spark, HDFS, YARN, MapReduce), Kafka, Zookeeper Database Management: NoSQL (MongoDB, Cassandra, HBase), SQL (Redshift, MySQL, Postgres) Tools & Frameworks: ElasticSearch, Solr, Docker, Apache Tools (Pig, Hive, Flume) Methodology: Object-Oriented Programming, Design Patterns, Agile Development Machine Learning: TensorFlow, Keras, PyTorch Cloud Technologies: AWS (Athena, Lambda, S3), Azure, GCP CERTIFICATIONS Coursera • Google Data Analytics Specialization Indian Institute of Technology, Mumbai • Data Science for Engineers (IIT Bombay)