Liniker Seixas
About Liniker Seixas
Liniker Seixas is a Staff Data Scientist and Team Lead at Truecaller, specializing in Search, Spam, and Assets. With extensive experience in data science across various domains, he has a strong background in machine learning, data analytics, and infrastructure technologies.
Current Role at Truecaller
Liniker Seixas currently serves as a Staff Data Scientist and Team Lead for Search, Spam, and Assets at Truecaller. He has held this position since 2023, working in Stockholm, Sweden. In this role, he is responsible for leading data science initiatives and managing projects related to search and spam detection, leveraging his extensive experience in the field.
Previous Experience at Truecaller
Prior to his current role, Liniker worked at Truecaller as a Senior Data Scientist and Team Lead for Search, Spam, and Assets from 2020 to 2023. He initially joined Truecaller as a Data Scientist focusing on Ads Product from 2017 to 2020 in Bengaluru, India. His tenure at Truecaller has provided him with deep insights into data science applications within the organization.
Experience at Chillr
Liniker Seixas gained early experience as a Data Intern at Chillr for three months in 2016. He then transitioned to a Data Scientist role at Chillr, where he worked for 11 months from 2016 to 2017 in Mumbai, India. His work at Chillr contributed to his foundational knowledge in data science and analytics.
Education and Expertise
Liniker holds a Post Graduate degree in Data Science from Sankhya Analytics (EduQual UK), which he completed from 2016 to 2017. He also earned a Bachelor’s Degree in Information Technology from K. J. Somaiya Institute of Engineering and Information Technology between 2013 and 2016. His educational background supports his expertise in data science and analytics.
Technical Skills and Proficiencies
Liniker possesses advanced skills in various machine learning algorithms, including KNNs, SVM, RF, NLP, Bert, kmeans, XGBoost, HAC, and NNs. He is proficient in multiple programming languages such as Python, Scala, pySpark, Bash, R, and SQL. Additionally, he has a strong background in querying with SQL, Hive, and Spark, enabling him to execute complex queries effectively.