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Data Engineer
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Machine-Learning-POCs
September 23, 2020 – December 23, 2020
Machine Learning & Data Analysis Implementations
View ProjectData-Engineering
August 9, 2020 – January 15, 2021
Data Scraping, Data Models/ORMs, Workflow code commits
View ProjectImage-Recognition
July 22, 2019 – July 22, 2019
This is created for all the Image Recognition scripts.
View ProjectFinding-Optimal-Gradients
May 8, 2019 – May 8, 2019
In this repository, finding the optimal graidents has been demonstrated.
View ProjectBaselinePredictionMLFramework
December 27, 2018 – January 18, 2019
Machine Learning Framework code which is being built for deriving the Baseline prediction results on various ML algorithms (under construction)
View ProjectGradient-Descent-Logistic-Regression-from-Scratch
October 16, 2018 – October 16, 2018
This is a implementation of Gradient Descent using Logistic Regression from Scratch for Predictions.
View ProjectGensim-Word2Vec-Model-for-Text-Similarity
August 13, 2018 – December 23, 2020
This is a basic implementation of Word2Vec Model from Gensim package to compute Text Similarity between words by using the concept of Cosine Similarity.
View ProjectData-Science-Project-Customer-Segmentation-in-R
March 5, 2018 – January 4, 2019
This project aims to develop a strategy to segment the customers based on selected KPI (Key Performance Indicators) in order to yield more revenue for the company. This project also gives an insight of the behavioral pattern of customers and hence giving the company, an access to promote better offers for different kinds of customers. Such projects are commonly used by Telecom, Credit Card Banking, Health, Insurance, Car Manufacturing or any kind of product companies to get to know the spend patterns of the customers.
View ProjectR-Practice-Demo-Codes
February 23, 2018 – February 23, 2018
This Repository is the practice of beginning in R with sample codes with basic functionalities
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on foundational data science and machine learning concepts. While demonstrating initiative, there is no evidence of collaborative projects, open-source contributions, or experience in a team-based professional environment. This suggests a potential gap in cultural fit for a senior role requiring significant team interaction and production system experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive learning approach and an interest in practical implementations.