Sivakumar Ayyapusetty
About Sivakumar Ayyapusetty
Sivakumar Ayyapusetty is a Senior Data Specialist at HTC Global Services with extensive experience in data science, machine learning, and data engineering.
Title
Sivakumar Ayyapusetty holds the title of Senior Data Specialist, currently working at HTC Global Services.
Current Position at HTC Global Services
Sivakumar Ayyapusetty is currently employed as a Senior Data Specialist at HTC Global Services. His role involves utilizing his expertise in data science for enterprise solutions. He is stationed in Malaysia, where he contributes to data-driven decision-making processes.
Experience at The Sparks Foundation
In 2021, Sivakumar interned remotely at The Sparks Foundation for two months. During this period, he applied his data science skills in various projects, gaining substantial practical experience in the field.
Internship at INNODATATICS
Sivakumar worked as a Data Science Intern at INNODATATICS for six months in 2020. His responsibilities involved remote data analytics, providing insights into innovative data techniques and analytic strategies.
Previous Roles and Responsibilities
Sivakumar Ayyapusetty has an extensive work history. He served as a Data Engineer at Wipro Limited for six months in 2018 in the Bengaluru Area, India. Prior to that, he worked at IBM as a Data Engineer from 2017 to 2018. His earlier experience includes roles at Capgemini Technology India Pvt Ltd, where he was an ETL Developer from 2014 to 2017 and a Software Engineer from 2013 to 2014, both in Pune, Maharashtra, India.
Educational Background
Sivakumar holds a Master of Computer Applications (MCA) degree from JNTUA College of Engineering, Anantapur. This academic background has provided a strong foundation for his technical and analytical skills.
Skill Set and Expertise
Sivakumar has hands-on experience in building predictive models using supervised and unsupervised machine learning techniques. He utilizes natural language processing (NLP) for modeling and recommendation systems. His expertise includes probabilistic and statistical inference, time-series analysis, numerical optimization, and hypothesis testing. He is proficient with algorithms like k-NN, Naive Bayes, SVM, Decision Trees, Random Forest, Logistic Regression, Neural Networks, and Deep Learning. Additionally, he is skilled in integrating Hadoop with Ab Initio for data migration and processing. He is experienced in direct customer communication for resolving data warehousing solutions and strategies.