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Aspiring Data Scientist focused on solving real-world problems using Python, SQL, and Machine Learning. 📬 Let's collaborate: kaniskaer15@gmail.com
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Chettinad College of Engineering and Technology
Data Scientist
June 13, 2026 – Present
KaniskaEr
August 29, 2025 – September 7, 2025
Hi, I’m Kaniska Er 🌟 Passionate about Data Science | AI | Machine Learning | SQL | Python | Analytics 💻 Aspiring Data Analyst with hands-on experience in EDA, SQL queries, Machine Learning models, and dashboarding. 🚀 Currently working on projects that combine data-driven insights with AI-powered applications.
View ProjectRestaurant_Rating_Analysis_project
August 28, 2025 – August 29, 2025
Restaurant Ratings Analysis is a data analytics project that explores consumer preferences, restaurant details, cuisines, and ratings to uncover insights into dining behavior. Using Power BI dashboards, it visualizes rating trends, popular cuisines, and restaurant performance to help businesses and customers make informed decisions.
View ProjectLeetcode-SQL-50
August 27, 2025 – October 5, 2025
In this Repository I am solving Leetcode SQL-50 problems
View ProjectSales-Data-Analysis-Customer-Product-Insights
June 9, 2025 – Present
Sales Data Analysis – Customer & Product Insights Analyzed Superstore sales data using Python and SQL to uncover customer trends, product performance, and regional profitability. Includes data cleaning, EDA, SQL queries, and visualizations to derive actionable business insights.
View ProjectBook-Store-Web-Scraping-EDA
May 11, 2025 – September 2, 2025
Book Store Web Scraping & EDA Project is a Python-based project that scrapes book data from Books to Scrape, cleans and structures it, and performs exploratory data analysis (EDA). It generates insights on book prices, availability, and ratings, with visualizations using Pandas and Matplotlib.
View Project30-days-JavaScript-Challenge
September 7, 2024 – September 1, 2025
Repository contains the 30 days Javascript challenge files
View ProjectGemini-AI
August 21, 2024 – August 29, 2025
KANI's GPT 🔮 A simple Streamlit web app that integrates with Google's Gemini API (via google-generativeai) to answer user questions using state-of-the-art language models.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and AI, aligning well with a Data Scientist role. The diversity of personal projects (web scraping, sales analysis, restaurant ratings, AI chatbot) indicates a broad interest and willingness to explore different facets of data. However, the lack of team-based projects or professional experience beyond a future-dated role makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science concepts. The variety of projects suggests an ability to work independently on diverse tasks. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.