Chayan Shrang Raj

Data Engineer

Tata Consultancy Services•  January 2024 - Present•  India

Collaborated with GEHC stakeholders to devise Statistical EWMA feature for six trending types, increasing decision-making and BI capability by 15%. Deployed ETL pipelines and BI reports in production within AWS ecosystem for 15 trend groups using SQL, Python, AWS Lambda, and Glue. Implemented Redshift optimization techniques to reduce the query execution time by 30%, enhancing operational efficiency and hence decreasing carbon footprint.

Data Scientist

Ericsson•  January 2023 - October 2023•  Sweden

Developed an innovative big data analytical tool using PySpark to classify 5M+ LTE nodes into area-types, increasing data efficiency by 40% in 6 months. Implemented a PySpark pipeline for 6 predictive models to automate data labeling for around 30% LTE nodes lacking geo information, creating actionable business value. Deployed area-tagging framework into production using PySpark and Plotly to identify trends, patterns and to understand customer behavior.

R&D Intern / Software Developer

Ericsson•  June 2022 - December 2022•  Sweden

Collaborated within Agile teams to develop an Email alert system using Kotlin and GitLab for incident response, reducing downtime by approximately 15% in 3 months. Developed a microservice using Kotlin endpoints, Docker, and Grafana to establish app resource monitoring practices within agile teams, receiving 100% positive feedback.

Vice President

Toastmasters International•  June 2019 - March 2021•  India

Organized and led Bi-weekly public speaking meetings with around 20 people from different departments. Spearheaded public awareness initiatives leading to a 20% Y-o-Y increase in club membership in 2 years.

Data Analyst

Tata Consultancy Services•  January 2020 - March 2021•  India

Created an ML system based on NLP to measure text similarity between client text inputs and TCS's internal repository, leading to a 20% reduction in data entry time. Worked closely with cross-functional teams and conducted comprehensive data analysis on 50,000 data points using Python and Data analysis libraries.