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Hi-ya!!! 👋

I'm Nikita Prasad.

Data Analyst | Machine Learning and Data Science Practitioner

👩🏻‍💻 As an analyst I am eager to gain a deeper understanding of the data lifecycle with a range of tools and techniques, distilling down data for actionable takeaways using Data Analytics, ETL, Machine Learning, NLP, Sentence Transformers, Time-series Forecasting and Attention to Details to make recommendations across different business groups.

💻 Tech Stack:

Python Matplotlib NumPy Pandas Plotly scikit-learn Scipy SQLite MySQL TensorFlow Keras PyTorch Alterxy Tableau Power Bi Microsoft Excel Microsoft PowerPoint Microsoft Word Jupyter Notebook Visual Studio Code Notion

📊 Explore My Data Stories: Tableau

🌟 Documenting my Learnings in Simplified ways: Instagram

Nikita Prasad's Stats Nikita Prasad's Top Languages

📑 My Latest Blog Post: Medium

If my experience intrigues you and you believe I could be a valuable addition to your team,

Let's get in touch! 😄

LinkedIn

Nikita Prasad's Projects

advance-python-cheatcodes icon advance-python-cheatcodes

Logging, JSON, Random Numbers, Decorators , Generators, Threading vs Multiprocessing, Multithreading, Multiprocessing, Function Arguments, Asterisk (*) Operator, Shallow vs Deep Copying, Context Managers

credit-risk-modeling icon credit-risk-modeling

Leveraging data-driven approaches to mitigate Credit Risk and optimize financial strategies in the banking sector.

eir-home-task icon eir-home-task

Identified Insights from User Transaction Data and Pinpoint Potential Issues.

link-tree-clone icon link-tree-clone

This project is a Linktree clone built with Python using the Streamlit framework for web applications. The application serves as a personalized landing page with links to various profiles and projects.

neobank-sql-analysis icon neobank-sql-analysis

This case study addresses key questions about Neo-Banks through Data Exploration Analysis using SQL.

online-music-store icon online-music-store

Examined the dataset with SQL and helped the store understand its business growth by answering questions.

predicting-credit-card-customers-segmentation-project icon predicting-credit-card-customers-segmentation-project

Performed Attrition Analysis for Credit Card Users using SQL, developed Customer Churning Analysis Visualizations to identify and predict hidden patterns and trends from records using Tableau., deployed Supervised ML Models to improve retention rate.

product-recommendation-analysis-project icon product-recommendation-analysis-project

Architected a SQL-based Superstore Data Warehouse to analyse trends of customer records to identify profitable market segments and designed Quarterly Sales Forecasting Dashboard to get insights using Tableau.

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