Competitive Data Scientist with more than three years of solid experiencing solving data science problems from multiple domains.
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Assessing your cultural and operational fit
Data Scientist
June 16, 2026 – Present
Predict-Fraudulent-Transactions-Societe-Generale
January 14, 2019 – January 14, 2019
Predict the probability of a transaction being fraudulent.
View ProjectPredict-Annual-Returns-Societe-Genarale
January 14, 2019 – January 14, 2019
Predict the portfolio’s annual returns.
View ProjectIndiaHacks-Predict-Road-Sign-Direction
January 3, 2019 – January 3, 2019
Predict direction of road sign facing from data collected from vehicles.
View ProjectIndiaHacks-Predict-the-Customer-Segment
January 2, 2019 – January 2, 2019
Predict the segment to which a Hotstar customer belongs to based on the watch patterns.
View ProjectFuture-Datathon-Product-Recommendation
January 2, 2019 – January 2, 2019
Recommend products that Big Bazaar customers are most probable to buy in next one month.
View ProjectFuture-Datathon-Clustering-Customers
January 2, 2019 – January 2, 2019
Cluster Big Bazaar customers based on their shopping and other data given using K-Means and Hierarchical Clustering.
View ProjectRakuten-Food-Image-Classification
January 2, 2019 – January 2, 2019
Classify images of food into different classes using Deep Learning.
View ProjectMozilla-Automatic-Bug-Triaging
January 2, 2019 – January 2, 2019
Predict the software component to which the bug should belong to, given the past data about bugs and the components to which they were associated.
View ProjectScoring-Airbnb-Reviews
January 2, 2019 – January 2, 2019
Score prediction in the categories of cleanliness, accuracy, check-in, communication, location, value (each out of 10) and overall (out of 100) based on the reviews left by customers on Airbnb.
View ProjectGenpact-Meal-Orders-Forecasting-Challenge
January 1, 2019 – January 1, 2019
A machine learning challenge to forecast order quantities for meals at restaurants using past data.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and primarily focus on machine learning challenges, indicating a strong individual drive and interest in data science. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit. The current role at Google suggests a fit within a large tech company culture, but details are missing.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct evidence of collaboration, problem-solving approach, or communication style is available.