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Resume

Experience

Omdena

Data Science Intern

July 2021 - Sept 2021

  1. Invented a risk score system for investors to aid in investment decisions in rural Africa regions.

  2. 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%.

  3. 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

  1. Investigated an approach to image classification tasks, expanding its application to increase accuracy regardless of the domain.

  2. 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.

  3. 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.

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