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Entry-Level Data Scientist | BS in Data Science and Applications @ Indian Institute of Technology, Madras
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Assessing your cultural and operational fit
IITM_BS_Python_Notes
February 3, 2026 – Present
This repository contains my Python Jupyter Notebooks from the IIT Madras BS Data Science and Applications coursework. It includes structured exercises, assignments, and hands-on implementations focused on building strong programming and analytical skills.
View ProjectHTML-CSS-SuperSimpleDevCourse
January 29, 2026 – Present
HTML-CSS-SuperSimpleDevCourse — GitHub repository
View ProjectJavascript-SuperSimpleDevCourse
January 29, 2026 – Present
Javascript-SuperSimpleDevCourse — GitHub repository
View ProjectPython_Medium_Projects
January 22, 2026 – Present
This Repository contains all the python projects (medium level) that i have made as part of my self-learning journey.
View ProjectPython_Easy_Projects
January 19, 2026 – Present
This Repository contains all the python projects (easy level) that i have made as part of my self-learning journey.
View ProjectSafeMail
January 13, 2026 – Present
SafeMail is an end-to-end machine learning application that detects phishing emails by analyzing the email subject and body text. The system uses Natural Language Processing (NLP) techniques and a trained ML model to classify emails as Phishing or Safe, and is deployed as a Flask web application for real-time predictions.
View ProjectCrashlens_road_accident_analysis
January 3, 2026 – Present
CrashLens is a data-driven road accident analysis dashboard designed to help government bodies and safety agencies identify trends, risk factors, and actionable insights from 2021–2022 accident data, enabling informed policy and safety decisions.
View ProjectCustomer_behavior_analysis
December 14, 2025 – Present
This repository presents an end-to-end customer behavior analysis project focused on deriving actionable business insights from raw data. It includes data loading and EDA using Python (Pandas), business analysis with SQL, interactive Power BI dashboards, AI assisted reporting and presentation generation using Gamma AI.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and self-learning focused, indicating a strong drive for individual skill development. The diversity of projects (web development basics, data analysis, ML applications) suggests a broad interest, but also a lack of deep specialization in a single area. The experience level is 0, and the projects, while relevant to Data Science, are mostly foundational or medium-level, which might not align with a senior-level Data Scientist role requiring extensive industry experience and complex problem-solving. The target role is 'Data Scientist', and while the projects touch upon relevant areas, the depth and scale required for a senior role are not evident. The candidate's profile suggests a strong learning orientation, which is positive for cultural fit in a growth-oriented environment, but the current skill set appears more aligned with an entry-level or junior data scientist.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a self-starter attitude and a focus on practical application. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, stress handling, or communication clarity in a professional setting.