
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 18, 2026 – Present
Demand-Forecasting-RF
March 16, 2024 – March 16, 2024
Kaggle Demand Forecasting Challenge
View ProjectCustomer-Segmentation-in-Online-Retail
May 12, 2021 – May 12, 2021
Performing Customer Segmentation in Online Retail dataset using Python and understanding purchase patterns through RFM Analysis and K - Means Clustering
View ProjectPython-To-Pyspark
June 30, 2020 – April 8, 2021
PandasUDF and Koalas in PySpark for Data Scientists transitioning from Pandas (Python)
View ProjectLogistic-Regression-with-Kaggle-Titanic-Dataset
November 18, 2018 – November 18, 2018
Implementing Logistic Regression in python using scikit-learn with Kaggle's Titanic Dataset
View ProjectLinear-Regression-with-Boston-Housing-Dataset
November 17, 2018 – November 17, 2018
Implementing Simple Linear Regression using scikit-learn and python with Boston Housing Dataset
View ProjectMNIST-Classification-Using-Keras
June 3, 2017 – June 5, 2017
Using CNN for classification of MNIST data
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on foundational data science tasks. While this shows initiative, the lack of diverse project types (e.g., collaborative, open-source, industry-specific) and the very recent start date for their professional experience (future dated) suggest limited exposure to real-world team dynamics and broader industry practices. This indicates a potential gap in cultural fit for a senior role requiring extensive collaboration and diverse problem-solving experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.