Nigil Raj Pm
About Nigil Raj Pm
Nigil Raj Pm is a Data Engineer based in Chennai, Tamil Nadu, India, with a background in Chemical Engineering. He has experience in data science, machine learning, and data analysis, having worked with several organizations including The Sparks Foundation and LatentView Analytics.
Work at LatentView Analytics
Currently, Nigil Raj Pm serves as a Data Engineer at LatentView Analytics, a position he has held since 2021. His role involves utilizing his technical skills to manage and process data efficiently. LatentView Analytics is known for its focus on data analytics and insights, providing solutions that help businesses make data-driven decisions.
Education and Expertise
Nigil Raj Pm obtained his Bachelor's degree in Chemical Engineering from St. Joseph's College Of Engineering, where he studied from 2017 to 2021. His educational background includes a strong foundation in analytical skills. He also holds a High School Certification from Kalashetra Matriculation Higher Secondary School and achieved 95.6% in his SSLC from Pioneer Matriculation Higher Secondary School. His expertise includes exploratory data analysis, predictive modeling, deep learning, cloud computing, and distributed data processing engines.
Internship Experience
Nigil Raj Pm has completed several internships that contributed to his professional development. In 2020, he worked as a Data Science & Business Analytics Intern at The Sparks Foundation for one month. He also served as a Machine Learning Research Intern at Pianalytix from 2020 to 2021 for one month. Additionally, he worked as a Data Analyst Intern at Krato Solutions in 2021 for one month. These experiences provided him with practical skills in data analysis and machine learning.
Technical Skills
Nigil Raj Pm possesses a range of technical skills essential for a Data Engineer. He is proficient in programming languages such as Python, SQL, and Scala, which are widely used in data engineering tasks. His expertise in exploratory data analysis, predictive modeling, deep learning, and cloud computing enhances his ability to handle complex data challenges. Furthermore, his knowledge of distributed data processing engines allows him to manage large-scale data efficiently.