Ritvik Ramesh Palvankar
@ritvikrameshpalvanka
Data Scientist with expertise in machine learning and data-driven solutions.
United StatesWhat I'm looking for
I am a Data Scientist and Developer with around 4 years of experience in designing and implementing machine learning models, developing scalable applications, and delivering data-driven solutions. My proficiency in Python, SQL, PySpark, TensorFlow, and Angular, combined with a strong foundation in machine learning and computer vision, enables me to automate ETL processes and optimize machine learning models effectively.
Throughout my career, I have demonstrated success in improving system performance by 10-15% and collaborating with cross-functional teams to deliver actionable insights that drive business outcomes. I am passionate about solving complex problems and leveraging Agile methodologies to ensure seamless project execution. My experience includes working with major companies like FedEx and TCS, where I have honed my skills in data analysis, model optimization, and client relationship management.
Experience
Work history, roles, and key accomplishments
Developer
Department of Public Services, TCS
Jul 2023 - Present (1 year 11 months)
Developing user-friendly interfaces using Angular and collaborating with cross-functional teams to integrate backend and front-end components. Leveraging Spring Boot for backend development, achieving a 10% improvement in server response times. Crafting efficient SQL queries and managing critical bugs using Azure DevOps.
Data Scientist
FedEx, TCS
Dec 2021 - May 2023 (1 year 5 months)
Processed over 40 million rows using PySpark, reducing data analysis time by 15%. Built and optimized data pipelines with Azure Synapse studio, achieving a 95% prediction accuracy with machine learning models. Delivered actionable insights through client presentations.
Data Science Intern
Shoptaki
Jun 2021 - Dec 2021 (6 months)
Developed and fine-tuned Convolutional Neural Networks for image analysis, improving accuracy by 6%. Pre-processed over 10M blockchain transactions and applied outlier detection techniques to enhance fraud detection. Created real-time fraud monitoring visuals using Power BI.
Education
Degrees, certifications, and relevant coursework
UFUniversity of Florida
Master of Science, Electrical and Computer Engineering
2019 - 2021
Completed a Masters of Science in Electrical and Computer Engineering with coursework in Machine Learning, Deep Learning, Digital Signal Processing, and Neural Networks.
Availability
Location
United StatesAuthorized to work in
Job categories
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