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HELOOO FOLKSSS!!☺️, I'm Ishika Shrivastava

Dedicated data science student with a penchant for unraveling insights from complex datasets and a commitment to leveraging data-driven approaches for impactful solutions.

  • 🌱 I’m currently learning BigData Analytics
  • 💬 KEEN about Data Analytics :)
  • ⚡ Fun fact I Love explore data and places tooo
  • ✅ I love to Sing and Dance!!!

Connect with me:

ishika shrivastava ishika_shrivastava ishikashrivastava2020

Languages and Tools:

cplusplus csharp django git hadoop java linux mongodb mysql opencv python react tensorflow

Ishika Shrivastava's Projects

-emoscan icon -emoscan

Sentiment analysis uses machine learning and natural language processing (NLP) to identify whether a text is negative, positive, or neutral. - Technology: Pandas, streamlit, joblib, Altair, seaborn, sklearn.

fitfinity_epics_project icon fitfinity_epics_project

DSN3099 (Engineering Project in Community Service) - Fitfinity a healthcare web application which asks users about their general health details and medical complications and recommends them their personalized Yoga Exercises and Dietary habits.

get-ready-with-mee icon get-ready-with-mee

Get Ready with Me is a cutting-edge fashion web platform to leveraging personalize style

loan-link-dashbord-proj icon loan-link-dashbord-proj

Loan link is a Dashboard project that dyamanic representation of bank loan that help us to understand that to important insights by using techniques like data cleaning and KPI’s and connect from SQL query for good accuracy and good visualization that help bank to choose wisely loan customer

recommendation-system-pj_1 icon recommendation-system-pj_1

Recommender systems are defined as the supporting systems, which help users to find information, products, or services by aggregating and analyzing suggestions from source. -Technology: pandas, SQL HTML/CSS, JavaScript, Rich Module

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