Rohan Limaye
About
Detail
Master of Science in Applied Mathematics
United States
Contact Rohan regarding:
Flexible work
Résumé
Jobs
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Research AnalystUniversity of Illinois UrbanaMay 2020 - Current (6 years 2 months)- Spearheaded a metadata study to investigate how the Covid-19 pandemic affected research activities across different fields. Managed 250k records of data from ArXiv using their API in Python and stored it using PyMongo. - Conducted a gender analysis of authors using Gender-API to verify research articles published by 10k+ female authors. Performed topic modelling using Gensim packages to figure out novelties in research.- Data Science InternNational Ability CenterMay 2019 - Aug 2019 (4 months)- Advanced 2 machine learning techniques: Support Vector Machines (SVM) and Random Forests to model West Nile Virus data with respect to environmental and socio-economic factors - Extracted and cleaned 2M+ records data using NumPy, Pandas and other packages in Python. Performed a Geospatial and Semivariance analysis on the virus data using QGIS. - Applied statistical packages, such as Non-Linear Mixed Effects model in Python and R for analyzing and modelling the data.
- Data AnalystUniversity of Illinois UrbanaJan 2019 - May 2019 (5 months)- Managed a team of 5 STEM students working on analysis of food inspections in the city of Champaign. Enhanced machine learning algorithms and Deep Neural Networks using TensorFlow to prioritize food inspection likelihood. - Reduced the length of exposure of risky establishments to customers by 20% and improved the efficiency of the food inspection process by 35%. - Analysed the food inspection data and found out patterns in the inspection scores with respect to location, cuisine, or season. Mentored undergraduates teaching machine learning techniques and Python scripts on GitLab.
Education
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- Master of Science in Applied MathematicsUniversity of Illinois at Urbana-ChampaignAug 2018 - May 2020 (1 year 10 months)- Relevant Courses: Machine Learning, Deep Learning, Data Science and Analytics, Applied Statistics with R, Algorithms.
- Bachelor of Technology in Biotechnology with Minor in MathematicsIndian Institute of Technology GuwahatiJul 2014 - May 2018 (3 years 11 months)- Relevant Courses: Graph Theory, Linear Algebra, Multivariable Calculus, Scientific Computing, Mathematical Statistics.
Projects (professional or personal)
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- IImage Ranking using Deep LearningAug 2019 - Dec 2019 (5 months)- Achieved 61% test accuracy while using Resnet50 with SGD and a learning rate of 10-3 and dropout probability of 0.6. Implemented a triplet sampling method for query images, positive and negative images from the ImageNet dataset. - Applied Resnets to learn the embedding function that assigns smaller distances to similar images.
- HHistopathologic Cancer DetectionJan 2019 - May 2019 (5 months)- Trained a Resnet model using a GPU on the training set and tuned the hyper-parameters to achieve a training accuracy of over 95%. - Implemented a binary image classification scheme that employs Resnet34 using PyTorch on a large dataset containing microscopic images of stained lymph nodes. - Tested the model using forward propagation on a validation set and achieved an accuracy of over 93%.
- BBest Chess Move PredictionJan 2019 - May 2019 (5 months)- Predicted chess moves with an accuracy of over 80% on the test set. Encoded board positions and pieces as tensors and scored them using a training set of over 1000 chess moves. - Trained a Convolution Network to predict the next best legal move given a board position.