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Aspiring Supply Chain analyst | Machine Learning Engineer
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Godrej & Boyce
Data Scientist
June 25, 2026 – Present
Predicting-Loan-Deferral-with-ANN-Hyperparamater-Optimization-and-Oversampling
May 25, 2021 – August 8, 2021
In this project, we build and train a model to predict if a customer will defer on a particular loan on an imbalanced dataset. We'll build a layered ANN for this and try to make our model better using Hyperparamater Optimization, before exploring Oversampling to make it more accurate.
View ProjectPredicting-house-prices-using-Deep-Learning
May 16, 2021 – August 23, 2021
In this project, we perform EDA, for the ETL of pricing data of houses in King County, WA to train and implement Deep Learning with an Artificial Neural Network, in order to predict price of a new property on the market
View ProjectProfitability-Analysis-using-Monte-Carlo-simulation
January 3, 2021 – April 17, 2021
Using VBA Macros, we will determine if setting up a business would be profitable 15 years down the line, subject to 9 inputs, each associated with a certain uncertainty (pun intended!) using Monte Carlo simulation.
View ProjectAWS-Serverless-Chatbot
December 5, 2020 – August 8, 2021
An AWS Lex based serverless chatbot to assist you in Booking a Trip. We combines AWS services like Lex, Polly, Lambda, Dynamo DB and Cloudwatch Logs to give you a wholesome experience of booking a hotel and car for your trip!
View ProjectPerform-AB-Testing-to-determine-the-best-version-of-an-E-Commerce-website
June 11, 2020 – April 24, 2021
Using SQL we analyze the AB Test results to determine which test has the best effectiveness based on customer views and order response
View ProjectSimilar-movies-suggestions-using-Rotten-Tomatoes-and-OMDb-API
June 1, 2020 – August 8, 2021
We use 2 APIs, from OMDb (Open Movie Database) and Rotten Tomatoes, to suggest the user, similar movies according to his taste and sort them using the Rotten Tomatoes rating
View ProjectAnalyzing-the-Hottest-Topics-in-ML-using-LDA
May 31, 2020 – May 31, 2020
Using LDA, we analyze a large collection of NIPS research papers from the past 3 decades, o discover the latest trends in machine learning.
View ProjectPredicting-CO2-emission-using-ML-Regression-models
May 29, 2020 – May 30, 2020
Experimenting with various regression models, we try to arrive at the most accurate prediction of the CO2 emission of a new car model
View ProjectPredicting-Credit-Card-Approvals-Using-ML
May 21, 2020 – June 28, 2020
We try to model and train an automatic credit card approval predictor using machine learning techniques, just like the real banks do!
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse data science applications, from predictive modeling to NLP and serverless chatbots. This breadth of interest suggests adaptability and a willingness to explore different domains, which could contribute positively to cultural fit in a dynamic environment. The focus on personal projects indicates self-motivation and initiative. However, without information on team-based projects or specific work experiences beyond the current role, a comprehensive assessment of cultural fit is limited.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are concise but do not offer insights into collaboration, problem-solving approaches, or communication style.