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Pritam Barlota

Performance Engineering - Machine Learning - Data Analytics - Big Data - Spark - Python ;

Professional Background

Pritam Barlota is an accomplished Java Performance Engineer and Java developer with a wealth of experience in the computer software industry. His career spans multiple prestigious organizations, where he has honed his skills in various areas such as machine learning, deep learning, and performance tuning. With a strong foundation in both backend and performance-related aspects of software engineering, Pritam has consistently delivered exceptional results in each of his roles.

One of his most notable positions was as a Performance Engineer at Salesforce, where he utilized his expertise in Java Performance Engineering and profiling tools such as Dynatrace and JMeter to enhance application efficiency. Additionally, his previous role as a Big Data Developer at Mastercard showcased his ability to work with large datasets and implement data analytics solutions that drive business value. Pritam’s tenure at Cognizant, where he held various positions, including Senior Associate and Associate, allowed him to deepen his knowledge in performance testing and data management processes, making significant contributions to his teams and projects.

Pritam's experience also includes a role at Intuit, where he demonstrated his skills in performance engineering processes, further solidifying his reputation in the industry. His consultancy experience at CBOE provided him with the opportunity to work on diverse projects, implementing data-driven strategies that enhanced organizational performance.

Education and Achievements

Pritam's educational background is impressive, with a Master's Degree in Business Analytics focused on Business Statistics from California State University - East Bay. This academic credential equips him with a strong analytical mindset, allowing for data-driven decision-making within technical environments.

Prior to pursuing his master's degree, Pritam earned a Bachelor's Degree in Computer Engineering from the University of Pune. This foundational education provided him with comprehensive knowledge in core programming languages and systems architecture, setting the stage for his successful career in technology.

Technical Expertise

Pritam Barlota is highly skilled in various technical domains, making him a versatile asset in any software development or engineering team. His proficiency extends across several programming languages and frameworks including:

  • Java (Core, Struts, JSP, Hibernate)
  • Python (Numpy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, and more)
  • Big Data Technologies (Hadoop, Spark, Kafka, and related tools)
  • Cloud Platforms (AWS services such as EMR, EC2, and SageMaker)
  • Scripting Languages (Unix shell scripting)

His experience in machine learning and deep learning frameworks allows him to handle complex data processing tasks efficiently, unlocking valuable insights from large datasets. Pritam is adept at using tools like H2O for predictive analytics and has a thorough understanding of Spark SQL and PySpark.

Achievements

Throughout his career, Pritam has achieved several milestones that reflect his dedication to excellence and continuous improvement. His ability to optimize performance in Java applications has led to significant enhancements in system efficiency within the organizations he has worked for. His familiarity with an array of performance profiling tools underscores his keen insight into software performance metrics, allowing him to proactively address potential issues before they impact end-users.

Pritam's contributions to various data-driven projects have not only improved operational workflows but have also facilitated informed decision-making at all levels of the organizations. His expertise in data mining and analytics, combined with his proactive approach to performance challenges, has made him a sought-after professional in the technology sector.

Related Questions

How did Pritam Barlota develop his expertise in Java Performance Engineering?
What specific achievements did Pritam Barlota accomplish during his time at Salesforce?
How has Pritam Barlota utilized his Master’s degree in Business Analytics in his professional roles?
What are some key projects that Pritam Barlota worked on at Mastercard as a Big Data Developer?
In what ways does Pritam Barlota apply machine learning techniques in his work as a Java Performance Engineer?
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Location

Fremont, California, United States