Name: Nikita Prasad
Type: User
Bio: Experienced Data Analyst skilled in Supervised & Unsupervised Models, NLP, Tableau/Looker, SQL, and Excel for Data Cleaning, Manipulation and Analysis.
Location: New Delhi
Blog: https://www.linkedin.com/in/nikita-prasad-analyst/
Nikita Prasad's Projects
Evaluating the impact of adding 360-degree product videos feature on the product page on sales for an E-Commerce Platform.
Logging, JSON, Random Numbers, Decorators , Generators, Threading vs Multiprocessing, Multithreading, Multiprocessing, Function Arguments, Asterisk (*) Operator, Shallow vs Deep Copying, Context Managers
Implemented Airline Passengers Traffic Forecasting using ARIMA Model for next 5 years.
Leveraging data-driven approaches to mitigate Credit Risk and optimize financial strategies in the banking sector.
Retail Store Sales Dashboard - 2020 for Crusty Crumbs Bakery Shop.
Performed Data Extraction and NLP Analysis
Comprehensive dashboard effectively visualizing the key contributors to Heart Stroke
Beginner Friendly CheatCodes
Identified Insights from User Transaction Data and Pinpoint Potential Issues.
Building Financial Analysis Dashboard
Inventory Management System for Posh Palette - A High-End Lifestyle Retailer using SQL
Kaya E-Commerce wants to create an annual sales report for 2022 to understand their customers and grow sales in 2023
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.
To launch Superstore Marketing Gold Membership Campaign Dashboard
Machine Learning Cheatsheet 2024
This case study addresses key questions about Neo-Banks through Data Exploration Analysis using SQL.
Examined the dataset with SQL and helped the store understand its business growth by answering questions.
Used Algorithmic Trading to better understand the stocks of MANG companies 2020-23
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.
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.
Ultimate Cheat Code you need in 2024.
Python Cheatsheet
For Data Enthusiasts Statistics Cheatsheet 2024
Detecting Problems and Streamlining Solutions- Customer Success Team
Performed Sunbase Customer Churn Prediction using Python
Understanding User Engagement Patterns and Perform Churn Analysis
Walmart Financial Statement Analysis and Vis ( 2018- 2022 )