Post-graduate in Applied Statistics from Solapur university. My work has been revolved around building end-to-end predictive models.
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Deloitte
Data Scientist
June 16, 2026 – Present
Python-Data-Visualisation-
November 23, 2018 – November 23, 2018
Python Data Visualization Notebooks.
View ProjectDemonetization-in-India-Twitter-Data
February 6, 2017 – October 2, 2020
Context The demonetization of ₹500 and ₹1000 banknotes was a step taken by the Government of India on 8 November 2016, ceasing the usage of all ₹500 and ₹1000 banknotes of the Mahatma Gandhi Series as a form of legal tender in India from 9 November 2016. The announcement was made by the Prime Minister of India Narendra Modi in an unscheduled live televised address to the nation at 20:15 Indian Standard Time (IST) the same day. In the announcement, Modi declared circulation of all ₹500 and ₹1000 banknotes of the Mahatma Gandhi Series as invalid and announced the issuance of new ₹500 and ₹2000 banknotes of the Mahatma Gandhi New Series in exchange for the old banknotes. Content The data contains 6000 most recent tweets on #demonetization. There are 6000 rows(one for each tweet) and 14 columns. Metadata: Text (Tweets) favorited favoriteCount replyToSN created truncated replyToSID id replyToUID statusSource screenName retweetCount isRetweet retweeted Acknowledgement The data was collected
View ProjectHuman-Resources-Analytics
January 12, 2017 – January 12, 2017
Predicting whether employee leaves or does not leave
View ProjectCredit-Card-Default-Prediction
January 10, 2017 – March 27, 2025
Objective: Now a day’s the prediction of defaulting the borrower in future is a challenging task for credit card companies. Therefore the main objective of this project is to develop prediction models for defaulting the borrower in the future by taking advantage of available technological advancement.
View ProjectBlack-Friday-Data-Set
December 26, 2016 – December 28, 2016
This data set comprises of sales transactions captured at a retail store. It’s a classic data set to explore your feature engineering skills and day to day understanding from your shopping experience. It’s a regression problem. The data set has 550069 rows and 12 columns.
View ProjectBigmart-Sales-Prediction
December 21, 2016 – December 23, 2016
Retail is another industry which extensively uses analytics to optimize business processes. Tasks like product placement, inventory management, customized offers, product bundling etc are being smartly handled using data science techniques. As the name suggests, this data comprises of transaction record of a sales store. This is a regression problem. The data has 8523 rows of 12 variables.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, which aligns with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact. The experience section indicates a current role as 'Data Scientist' at Deloitte, but with a future start date (2026), which suggests this is a prospective role or an error in the data. This makes it difficult to assess current professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.