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Work Experience
Data Science Intern
Persistent Systems• January 2022 - April 2022
● Accelerated manual classification of cells in histopathological images, resulting in 80% increase in efficiency, by building Image Segmentation Models to detect and count different types of cells. ● Engineered pipeline to perform face-matching post-enhancement of government IDs and portrait photos using GANs. ● Enhanced accuracy by 15% and expedited preprocessing with 40% increase in speed to 3 seconds by streamlining the pipeline to incorporate Deep Learning model for keyword extraction on text, post speech-to-text conversion.
Data Science Intern
Akzonobel• August 2021 - December 2021
● Improved accuracy of model by 20%, as measured by its ability to classify colors based on reflection values, by implementing ensemble of Random Forest and Light Gradient Boosting Models using Scikit-Learn. ● Simplified color recipe-generating process by building Machine Learning models to generate color recipes using solid colors. ● Rationalized relating colors and toners by analyzing large-scale color recipe datasets and performing ETL processes.
Junior Data Science Associate
Kenmark ITAN Solutions• April 2020 - July 2020
● Led development of text-cleaning pipeline that reduced processing time by 40% to 7 seconds and expedited integration of data. ● Improved F1 Score by 30% using recurrent neural networks for sentiment analysis on Bert embeddings of cleaned comments. ● Conducted and facilitated knowledge transfer by hosting a tutoring session for 11 full-time staff members.
Data Analyst Intern
Sapio Analytics• April 2020 - June 2020
● Maximized supply chain efficiency of delivering Covid-19 vaccines by designing and publishing a collaborative dashboard using Tableau and Dash, used AWS to extract key metrics. Presented it to the Andhra Pradesh government as a proposal. ● Analyzed historical data and market dynamics to predict need of essential supplies at hyper-granular level in India. ● Managed SQL database (over 40 tables 100,000 rows each) for COVID-19 Project, used by mobile and web applications.
Education
New York University (NYU), New York
Data Science, MS• September 2022 - Present
Relevant Courses- Introduction to Data Science, Probability and Statistics for Data Science, Linear Algebra and Optimization, Machine Learning, Big Data, Computational Cognitive Modelling
Narsee Monjee Institute of Management Studies
Data Science, B.Tech• July 2018 - May 2022
Relevant Courses- Statistical Modeling 1 & 2, Machine Learning, Deep Learning, Managing Uncertainty, Advanced Neural Networks, Computer Vision, Natural Language Processing, Database Management Systems, Data Structures and Algorithms, Artificial Intelligence, Applied Mathematics