Data enthusiast. Saganist.
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Assessing your cultural and operational fit
Hadoop-Spark-Cassandra-Cluster-Setup
November 14, 2019 – November 14, 2019
3-node HDFS, Spark and Cassandra cluster on laptop
View ProjectCassandraDataModeling
October 30, 2019 – October 30, 2019
Case: Data modeling for Cassandra data base for an educational institute
View ProjectForestCoverPrediction
May 12, 2019 – May 12, 2019
Multiclass classification - Predicting forest cover using Scikit-learn
View ProjectCustomerChurn-Scikit
March 13, 2019 – May 12, 2019
Binary classification - Predicting customer churn using Scikit-learn library
View ProjectAssociationRuleMining
February 12, 2017 – February 12, 2017
Business Problem “Global Mart” online store is an online store that caters to customers from across the globe. As the marketing manager of the store, you want to figure out the most frequently occurring combination of the items that are bought together. This would enable you to recommend the related items to a customer, once he makes a purchase in the store.
View ProjectCustomerChurnANN
February 12, 2017 – February 12, 2017
Predicting churn of telecom customers using Artificial Neural Network in R
View ProjectTimeSeriesAnalysis
February 12, 2017 – February 12, 2017
To predict sales using 4 years time series data of a retail store.
View ProjectCustomer-Churn-Model
December 11, 2016 – February 12, 2017
Predict telecom customers likely to churn with 80% accuracy by analyzing 7000+ customers’ data; identified best model out of KNN, Naïve Bayes, Logistic, and SVM.
View ProjectMachine-Learning-Logistic-Regression
December 1, 2016 – February 12, 2017
Machine learning using logistic regression. Now suppose you are working in the risk management team at a german bank and you have to assist the credit manager to decide whether to approve the loan for a prospective customer or not. So you have to make a logistic regression model to predict the chances of the customer defaulting on the loan or not. The amount the customer will default is not to be predicted. You have to just predict whether the customer will default or not.
View ProjectMachine-Learning-Linear-Regression-
December 1, 2016 – February 12, 2017
Company Information An automobile consultancy firm “Mycar Dream” provides assistance to its clients in making appropriate car deals, based on their requirements. Based on various market surveys, the firm has gathered a large dataset of different types of cars and their attributes across the world. The business model of the company is solely based on consumer interest, aiming to provide the most appropriate car to their clients and hence maximise the customer satisfaction. Problem Statement: Nowadays, the automobile market has become very dynamic as the buyers have varied preferences. Customers look for various features (brand value, mileage, model_year etc) in their dream car. In order to fulfil it's customer requirement, Mycar Dream wants to automate the process of predicting the car mileage which fits the customer preferences, based on the dataset of car features and attributes obtained by market surveys. The data set contains the following details about cars: The aim here is to pred
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on individual problem-solving. While demonstrating technical aptitude, there is insufficient information to assess cultural fit, teamwork, or alignment with a collaborative work environment. The projects are diverse within the data science domain, but lack evidence of broader industry experience or contributions to open-source/community projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to tackle defined problems, but collaboration, communication, and problem-solving approaches are not detailed.