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Passionate Data Science enthusiast with 2.5 years in IT, transitioning to Data Science. Fascinated by AI and love working on innovative projects.
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Tech Mahindra
Data Scientist
June 13, 2026 – Present
Telcom-Customer-Churn-Analysis
November 5, 2024 – November 5, 2024
This project aims to analyze customer behavior and identify factors contributing to churn, helping the company design focused retention strategies to retain customers and increase customer loyalty.
View ProjectNumPy-Notebooks
September 26, 2024 – September 26, 2024
NumPy-Notebooks — GitHub repository
View ProjectSales-Market-Basket-Analysis
May 14, 2024 – May 15, 2024
An overview of how to perform Sales Market Basket Analysis using PySpark, focusing on the steps from data preprocessing to association rule mining. It is a method used by retailers to uncover patterns in customer purchasing behavior, involves analyzing the items that customers frequently buy together and associations between products
View ProjectCaptcha-Recognition
May 9, 2024 – May 10, 2024
This project aims to recognize characters within CAPTCHA images using deep learning techniques. CAPTCHA, or Completely Automated Public Turing test to tell Computers and Humans Apart, is a challenge-response test commonly used in computing to determine whether or not the user is human.
View ProjectEmotion-Detection-Using-Text
May 7, 2024 – May 8, 2024
This project aims to tackle the growing challenge of analyzing emotions conveyed through text, particularly in the context of the vast amount of comments generated daily on social media platforms and reviews from websites.
View ProjectNLP-Notebooks
April 2, 2024 – April 9, 2024
Explore NLP tasks with Python using NLTK, SpaCy & scikit-learn: Tokenization, Normalization, NER, POS tagging, Encoding, Word embedding.
View ProjectProperty-Insurance-Premium-Prediction
March 22, 2024 – May 13, 2024
This project aims to predict property insurance premiums using machine learning techniques. The dataset consists of various features related to insurance policies and properties. The goal is to build models that can accurately predict the annual premium based on these features.
View ProjectBankCard-Analytics---Credit-Debit-Card-Usage-Monitoring
August 24, 2023 – March 19, 2024
This project is a comprehensive data analysis initiative aimed at extracting valuable insights from bank card usage data. The tools and techniques includes Python, Excel, Tableau, web scraping, pandas. It centers around understanding and visualizing trends and patterns in credit and debit card usage across multiple banks.
View ProjectHeart_Disease_Detection_Analysis
August 18, 2023 – March 18, 2024
The Heart Disease Detection Analysis aims to create a predictive model for identifying individuals at risk of heart disease. Using a dataset with attributes like age, sex, and health metrics, the project focuses on distinguishing patients with and without heart disease.
View ProjectHospital_Emergency_Room_Analysis
August 18, 2023 – March 17, 2024
This comprehensive analysis delves into the performance and characteristics of the hospital's emergency room over the past year. By scrutinizing key metrics and patient demographics, this study aims to provide valuable insights for optimizing patient care, resource allocation, and overall operational efficiency.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a broad interest in data science applications, which could indicate adaptability. However, the projects are all personal and do not provide insight into team collaboration or working within an organizational culture. The listed experience level of 0 with a current Data Scientist role is a discrepancy that needs clarification for a proper cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current role as a Data Scientist at Tech Mahindra, which is contradictory. Project descriptions are clear but do not provide insights into collaboration or problem-solving approaches.