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IIT Bombay
Data Scientist
June 18, 2026 – Present
Market-Mix-Modeling
January 7, 2020 – January 7, 2020
Market-Mix-Modeling — GitHub repository
View ProjectSentiment-Analysis-on-restaurants-in-bangalore-A-multinomial-Classification-using-NLP
October 16, 2019 – October 16, 2019
This Case Study is a Sentiment Analysis on restaurants in Bangalore using the zomato food reviews (
View ProjectAnalysis-of-Yellow-Trip-Data-using-Hive
October 16, 2019 – October 16, 2019
This is a an analysis of yellow taxi trip data using Hive
View ProjectTelecom-Churn-Prediction-Case-Study
October 16, 2019 – October 16, 2019
This is an elaborate attempt to solve an end to end problem statement. In this work, we elaborately worked on outlier treatments, PCA for feature reduction, extensive feature engineering and also impact of features as it is on predictions. This work is an attempt to imitate an industry setting where we solve end to end data science problem except for the data collection part.
View ProjectHouse-Price-prediction-with-Regularization
October 16, 2019 – October 16, 2019
This work is similar to Car price Prediction example we detailed earlier but with regularization. The focus is largely on choice of as few as possible features from a large dataset which can explain maximum variance in the data.
View ProjectAutomobile-Prediction-Case-Study-using-Simple-Linear-Regression
October 16, 2019 – October 16, 2019
This is a simple linear regression example. In the case study, the focus is more on cleaning the categorical data for expression errors and exploratory data analysis as well as feature selection based on the automated techniques and how business knowledge is essential to take an informed decision while performing feature selection.
View ProjectLead-Scoring-Classification-Case-Study
July 27, 2019 – July 27, 2019
A Classification Study to predict whether a lead is a potential customer or not. In this study, the focus is largely on thoroughly exploring data on categorical as well as continuous data. We also focused on imputing data using the EDA performed.
View ProjectClustering-Countries-basing-on-Socio-Economic-and-health-factors-
June 11, 2019 – June 11, 2019
A detailed exercise for beginners in ML. This will comprehend implementation of clustering along with PCA and Outlier treatment extensively
View ProjectGramener-Case-Study---LC-loan-approval
April 9, 2019 – April 9, 2019
A detailed notebook on how to do exploratory data analysis for beginnners. This is an extensive notes on different uni and bivariate analysis even when we limit ourselves to bar plots and histograms
View ProjectUber-Supply-Demand-Gap-A-guide-to-beginner-for-analysisthrough-visualization
April 2, 2019 – April 9, 2019
A guide to beginner: How to perform uni-variate and bi-variate analysis. In this work, we focused on robust feature engineering from date and time. The date is solely time log data
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on foundational data science problems. While this demonstrates initiative, there is limited evidence of experience in collaborative, production-oriented environments or diverse industry applications. The current role at IIT Bombay as 'Data Scientist' is noted, but without details on responsibilities or team interaction, it's difficult to fully assess cultural fit for a typical industry role. The projects are well-aligned with a Data Scientist role, but the breadth of tools and real-world problem-solving experience beyond academic exercises is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to structure and explain technical work, but there is no direct assessment of collaboration, problem-solving under pressure, or communication in a team setting.