Third year Computer Science undergraduate student at BITS Pilani, Hyderabad Campus.
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BITS Pilani Hyderabad Campus
Data Scientist
June 20, 2026 – Present
Fisher-Linear-Discriminant-Analysis
May 9, 2020 – May 9, 2020
Implementation of Fisher Linear Discriminant Analysis in Python
View ProjectNaive-Bayes-Sentiment-Analysis
May 9, 2020 – May 9, 2020
Sentiment Analysis using a Naive Bayes Classifier implemented in Python
View ProjectLogistic-Regression
May 9, 2020 – May 9, 2020
Logistic regression implementation in python.
View ProjectNFHS-4-Analysis
April 25, 2020 – March 24, 2021
This project explores factors affecting child stunting and influence of contraceptive awareness in women on other health indicators using NFHS-4 (National Family Health Survey - 4, India) data.
View ProjectClustering
March 29, 2020 – April 3, 2020
Implementation of K-means, Hierarchical and DBSCAN clustering algorithms in python
View ProjectHopkins-Statistic-Clustering-Tendency
March 28, 2020 – March 28, 2020
A python implementation for computing the Hopkins' statistic (Lawson and Jurs 1990) for measuring clustering tendency of data
View ProjectMultivariate-Polynomial-Regression
November 20, 2019 – May 9, 2020
Multivariate Polynomial Regression using gradient descent with regularisation
View ProjectSmart-Refrigerator-Management-System
September 20, 2019 – May 9, 2020
A smart refrigerator management system built using python, flask, sqlite
View ProjectAttendance-System-Face-Recognition
June 24, 2019 – September 19, 2022
An attendance system based on facial recognition built using OpenCV and Django.
View ProjectFace-Recognition-Haar-LBPH
May 29, 2019 – May 9, 2020
Face recognition using Haar Cascades for face detection and LBPH Face recognizer.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic in nature, focusing on core data science and machine learning implementations. While this demonstrates initiative and technical interest, there is limited evidence of collaborative work, diverse project types, or experience in a professional team setting, which are crucial for cultural fit in a senior role. The single listed 'experience' entry as 'Data Scientist' at 'BITS Pilani Hyderabad Campus' with a future start date and no end date, and no associated skills, suggests it is likely an academic or research role, or an anticipated future role, rather than professional industry experience. This limits the assessment of cultural fit for a typical industry Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects.