Senior Software Engineer/Architect | Machine Learning/AWS Certified Engineer
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Fynd
Data Scientist
June 16, 2026 – Present
Ud513-Intro_to_data_structures_and_algorithms
May 22, 2019 – May 29, 2019
This course will introduce you to common data structures and algorithms in Python.
View ProjectUd615-Scalable_microservices_with_kubernetes
April 24, 2019 – April 25, 2019
This course is designed to teach you about managing application containers, using Kubernetes.
View Projectcloudclovis
April 3, 2019 – April 3, 2019
CloudClovis is an edtech venture focused on providing new-age education services and training on emerging industry trends.
View ProjectUdacity-Predicting_boston_housing_prices
October 30, 2018 – November 2, 2018
The Boston housing market is highly competitive, and we want to be the best real estate agent in the area. To compete with our peers, we decide to leverage a few basic machine learning concepts to assist us and a client with finding the best selling price for their home. Luckily, we’ve come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. Our task is to build an optimal model based on a statistical analysis with the tools available. This model will then be used to estimate the best selling price for our clients' homes.
View ProjectUdacity-Investigate_a_dataset
October 16, 2018 – October 19, 2018
In this project, I will analyze a dataset and then communicate my findings about it. I will use the Python libraries NumPy, pandas, and Matplotlib to make my analysis easier.
View ProjectUdacity-Test_a_perceptual_phenomenon
September 20, 2018 – September 21, 2018
In this project, I investigated a classic phenomenon from experimental psychology called the [Stroop Effect](https://en.wikipedia.org/wiki/Stroop_effect). I learned a little bit about the experiment, created a hypothesis regarding the outcome of the task, also gone through the task myself. I then look at some data collected from others who have performed the same task and also computed some statistics describing the results. Finally, I interpreted my results in terms of my hypotheses.
View ProjectUdacity-Explore_US_Bikeshare_Data
September 5, 2018 – September 18, 2018
In this project, I made use of Python to explore data related to bike share systems for three major cities in the United States - Chicago, New York City, and Washington. I have written code to import the data and answer interesting questions about it by computing descriptive statistics. I have also written a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic (Udacity), indicating a focus on learning and skill development. The current role as 'Data Scientist' at Fynd aligns with the target role. However, the experience level is listed as 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role. The project diversity is somewhat limited to Udacity courses, which might indicate a learning-oriented approach rather than diverse real-world problem-solving. The technologies used are relevant to data science, but the overall breadth of skills demonstrated through projects is moderate.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.