Rishikesh Solapure
Graduate Student @ CU Boulder
Boulder, CO, USA
Resume
Experience
Omdena
Data Science Intern
July 2021 - Sept 2021
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Invented a risk score system for investors to aid in investment decisions in rural Africa regions.
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Analyzed and Compiled a structured dataset from newspapers, websites, and other sources using the Python Web Crawler to extract relevant features, assisting in the improvement in the model's accuracy by 8%.
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Coordinated with the group of geographical researchers to enhance the quality of the dataset while maintaining the model performance. Presented key insight of the dataset to the project leader by demonstrating the visualized version of the dataset increasing the accuracy of the architecture by 4%.
PICT
ML Research Assistant
Jan 2021 - May 2021
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Investigated an approach to image classification tasks, expanding its application to increase accuracy regardless of the domain.
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Utilized a comprehensive analysis of different techniques including image segmentation, masking, and feature engineering to customize the image preprocessing pipeline, improving the effectiveness of the dataset in manipulating the prediction process.
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Designed a convolution network boosted by k-NN architecture to attain an overall accuracy of 99.7% and was presented at ICACIE 21 international conference receiving 3 peer reviews.
Education
MS in Computer Science
University of Colorado Boulder
August 2022 - May 2024
GPA : 3.7 / 4
Boulder, CO, USA
Course Work :- Deep Reinforcement Learning and Robotics, Natural Language Processing, Foundation Software Engineering, Design and Analysis of Algorithms, Big Data Analytics.
BE in Computer Engineering (Honors in Data Science)
Pune Institute of Computer Technology
August 2018 - July 2022
GPA : 9.74 / 10
Pune, MH, India
Related Course Work :- Data Structures, Machine Learning, Data Science & Visualization, Data Analytics, Data Mining & Warehousing, Engineering Mathematics I II & III, Discrete Mathematics.
Professional skillset
Programming Languages :-
C, C++, Python, Java, MySQL, SQL.
Artificial Intelligence :-
Machine Learning, Deep Learning, Natural Language processing, Computer Vision, Reinforcement Learning, Data Visualization, Data Science.
Frameworks :-
Computer Science :-
Numpy, Pandas, Keras, Sklearn, PyTorch, Tensorflow, Tableau, Git & Github
Data Structures & Algorithm, Object Orientated Programming, Engineering Mathematics, Statistics.