-
Experience
Department of Biomedical Informatics, Columbia University New York, NY
Research Assistantship
• Structuring and analysing data from Electronic Health records. Support ongoing research trials to make decision making around breast cancer
prevention.
Plentify Cape Town, SA
Data Science Intern
Parameter Estimation for Electric Water Heaters using data frame manipulation. Data visualizations for identifying patterns of heating rate and thermal coefficient of geysers with time. Used Python (Pandas, Matplotlib, Datetime, Astral) and SQL for database access.
Implementation of thermal model on Plentify fleet and looking at energy comparison for heating events. Resetting the model to the initial geyser temperature after an optimal duration of inactivity. Understood how the energy requirements change over time for users.
Social Enterprise Summer Fellow at Tamer Center for Social Enterprise, Columbia Business School.
Brown Institute for Media Innovation, Columbia Journalism School New York, NY
Worked on Data Collection and checking data consistency for the Covid- 19 Memorial Project in collaboration with THE CITY.
Cleaned data and found insights in datasets which lead to a meaningful reporting story using Python.
Created data visualizations for the news application using R and Python. Explored various fuzzy matching techniques for comparative analysis of two databases. Automated data collection process via web scraping using Beautiful Soup in Python.
Systemantics India Private Limited Bangalore, IND
Project involved the use of Carriots (an IOT platform) to update the file configurations of the organisation's robot using a web interface remotely.Parameter validations were done. The technologies used were JavaScript, NodeJS and AWS.
Salesforce India Private Limited Bangalore, IND
Lightning component is a framework for developing web apps on Salesforce Platform. Built Lightning Components for 2 different live projects using Lightning Design System, JavaScript and Apex
-
Projects
Predicting price of a used vehicle using Machine Learning model Mar 2020
Predicted price of a used vehicle by performing exploratory data analysis, pre-processing the data, hyper parameter tuning, feature engineering and
model selection.
• Predicting wine quality using Machine Learning model Apr 2020
Predicted wine quality from review texts and other properties of wine using bag of words, simple features and word vectors.
• Predicting Rating of a user using Deep learning Model Nov 2019 - Dec 2019
Implemented a Keras (Tensorflow) deep learning model for predicting the rating of a business by a user using his previous ratings.
• Movie Recommender System for Users Oct 2019 - Nov 2019
Implemented 2 collaborative filtering algorithms – Neighbourhood based KNN and Model based ALS using python surprise package, pandas and
numpy for recommending top 10 movies to the user.
• Analysis of Deaths due to Drug Abuse Nov 2019 - Dec 2019
In-depth analysis of deaths due to Drug abuse cases in Connecticut state using R (packages: dplyr, ggplot, choropleth, etc.) and found insights with
respect to temporal, causal and demographical aspects.
• Object Detection and Distance Estimation for Blind People Jul 2018 - May 2019
Captured live RGB and Depth images using Intel Real sense Depth Camera and informed the user the kind of obstacle in front of him (stairs,
window, door, etc.) and at what distance. Keras(TensorFlow) deep learning model was used for classification of images.