Analytics Engineer @ Nokia

Connecting data points in the vast space of the TELCO domain.

Overview

As a dedicated member of the development team, I contributed my extensive expertise in software engineering, spanning the roles of a full stack developer and software architect. My responsibilities included designing comprehensive solutions that bridged both the backend and frontend aspects, with a strong focus on deployment support for both external clients (TELCOs) and internal customers (data scientists).

Technical Expertise

Technologies

• Hadoop, Spark, Cassandra: Proficient in big data technologies, ensuring efficient data processing and analytics.
• Docker: Expertise in containerization for scalable and portable applications.
• ElasticSearch, Zeppelin, Arcadia Data: Advanced data visualization and analytics tools to deliver actionable insights.
• React: Frontend development for dynamic and interactive data visualizations.
• Hive: Facilitating efficient data warehousing and querying.

Programming Languages

• Python, Scala, R: Mastery in data science languages for developing machine learning models and pipelines.
• Javascript, Java: Proficient in web development and backend application development.

Key Responsibilities

My role involved a diverse set of tasks, including but not limited to:

• Supporting Machine Learning at Scale: Collaborating in the development and deployment of machine learning models to meet the demands of large-scale data processing.
• Machine Learning Pipeline Development: Contributing to the design and development of efficient machine learning pipelines for data analysis.
• Data Ingestion Pipeline Development: Ensuring smooth data ingestion through well-structured pipelines.
• Data Preprocessing: Creating data preprocessing tasks to prepare data for analysis and modeling.
• Micro-services Architecture: Designing and developing micro-services architectures for scalable applications.
• Docker-Based Applications: Leveraging Docker for the development and deployment of applications, ensuring portability and resource efficiency.
• Frontend Development: Crafting intuitive and interactive data visualizations for a user-friendly experience.
• Data Architecture: Designing a robust data architecture capable of ingesting, processing, indexing, and analyzing vast datasets.
• Sales Support: Collaborating with the sales department to provide custom-tailored demos and landing pages to showcase the capabilities of our solutions.

My contributions revolved around ensuring the efficient and effective use of cutting-edge technologies to deliver data-driven insights and solutions, both for internal teams and external clients in the telecommunications sector.

Toolkit