
Data Science practitioner having ML and Deep Learning knowledge.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TravClan Technology
Data Scientist
June 16, 2026 – Present
travel-business-data-platform
March 15, 2026 – Present
travel-business-data-platform — GitHub repository
View ProjectJSON_to_DF
November 16, 2023 – November 17, 2023
This repository contains Python code leveraging PySpark for efficiently handling and transforming large JSON datasets into structured columnar DataFrames.
View ProjectImageClassificationOnCifar10
March 10, 2022 – March 10, 2022
An Image Classification model using CNN on CIFAR10 dataset with Convolution and Max pooling layers.
View ProjectLicensePlateDetection
January 1, 2022 – January 1, 2022
A TensorFlow Object Detection model created to detect number plates from images of cars. Transfer Learning technique is used to train the model on PASCAL VOC dataset.
View ProjectCustomerChurn
December 7, 2021 – December 7, 2021
ANN model to classify and predict customer churn behaviour. SMOTE Sampling used for improved results.
View ProjectHousePricePrediction
August 4, 2021 – August 4, 2021
Implementation of Exploratory Data analysis, Feature Engineering and Feature Selection techniques on a large House Price dataset with the help of Python libraries.
View ProjectVaccineArticle
July 19, 2021 – July 19, 2021
Exploratory Data Analysis of a Reddit Article related to vaccines. Includes cleaning up of messy data and trying to find insights by visualizing plots created with the help of Seaborn
View ProjectHandwrittenDigitsClassification
July 19, 2021 – July 19, 2021
A simple three layer neural network for classification of handwritten digits
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on data science and machine learning, aligning with a Data Scientist role. The diversity of projects (image classification, churn prediction, house price prediction, F1 analytics) indicates a broad interest within the data science domain. However, all projects are personal, and the single professional experience entry lacks detail, making it difficult to fully assess collaborative or production-oriented cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are not provided.