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Travel-Planner
October 23, 2025 – October 23, 2025
Build an agent, for a travel company, that takes user input and preferences to generate a day-wise itinerary including sightseeing spots and hotel details for each day. Optionally, suggest air travel options.
View ProjectIPL_Dataset
July 28, 2018 – July 28, 2018
This was an analysis on IPL Datasets from 2008 to 2016. The dataset was analysed with the top N batsman, N bowlers, most matches, wickets, runs conceeded for all the seasons. Also the orange cap and purple cap holders for different seasons were found from the datasets. Codes were done in R studio. All the filtered files of different analysis were converted to .rda files and then imported to tableau. Visualization of all the analysis was done here and a dashboard was designed for the same.
View ProjectMachine-Learning-credit-dataset-
May 31, 2018 – May 31, 2018
The dataset has the credit defaults as a class to be predicted. I have applied different algorithms on this dataset. The algorithms which has been used are decision tree, random forest(part of bagging), Ada boost(part of boosting), KNN and Naive Bayes. The RMD has EDA as aprimitive data understanding step before different algorithm is used.
View ProjectManipal-call-centre-analysis
May 26, 2018 – May 26, 2018
Created a dashboard which shows the analysis of manipal call centre data. There are strategies included to improve the performance of the call centre in terms of revenue etc.
View ProjectPython_datasets
May 14, 2018 – May 14, 2018
I worked on different datasets and solved different question in jupiter notebook.
View ProjectCultural Fit Analysis
The candidate's projects show an interest in data analysis and machine learning, which aligns with a Data Scientist role. The diversity of projects (IPL analysis, call center analysis, credit default prediction) suggests a broad interest in applying data science techniques to different domains. However, all projects are personal, and there is no information on collaborative work or professional experience, making a comprehensive cultural fit assessment difficult.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on personal projects and apply various analytical techniques.