Hi, I’m Anushka Kapoor

Data enthusiast skilled in driving business decisions

Strategically-minded BI Engineer with 4+ years of experience at HSBC, adept at turning complex data into actionable insights. Armed with a Master’s in Business Analytics from the University of Notre Dame and a With a bachelor’s in Computer Science, I thrive on diving deep into data to drive business growth. Passionate about leveraging analytics to create value, I'm eager to tackle new challenges and make a difference through data-driven solutions.

Skills

Programming: R, Python, C++, JAVA, Javascript

Analytics:  ETL Pipeline, Tableau, PowerBI, Machine Learning, Deep Learning

Database: SQL, MySQL, Microsoft SQL Server, Snowflake

Statistical Techniques:   Regression Analysis, Multivariate Analysis,

Time Series Analysis, Neural Network, CNN, ARIMA

Currently Learning

Ethics of Data Analytics

AWS for Data Analytics

PROJECTS

Streaming Viewership Optimization

Analyze streaming platform data to understand viewership dynamics, identifying trends in unique viewership and impressions. Utilize statistical analysis and forecasting to optimize content, marketing, and platform user experiences for sustained growth in the digital streaming landscape.

Financial News - Sentiment Analysis

Conducted Sentiment Analysis on financial news articles to understand their impact on the stock market trend. Uncovered insights into how news sentiments influence investor behavior and market dynamics and Identify a correlation between news sentiments, stock prices, and trading volume.

Pneumonia Detection with CNN Modeling

Utilized deep learning and convolutional neural networks to devise an advanced approach for detecting pneumonia from X-ray images. Enhanced the model architecture's depth and complexity, optimized critical parameters, and applied data augmentation alongside advanced optimization techniques, achieving an accuracy of 99.90%, showing a promising potential to transform pneumonia detection significantly.

Walmart Weekly Sales Forecast

Developed a predictive time series model to accurately forecast sales and demand for Walmart, considering the impact of promotional markdown events and high-traffic holiday periods. Analyze the influence of economic conditions, specifically the Consumer Price Index and Unemployment Index, on sales with the goal of providing actionable insights to enhance Walmart’s business operations and its customer experience.

Stock Market Prediction & Forecast

Developed machine learning models, including Linear Regression and LSTM, to predict stock prices for swing trading by analyzing historical stock data. Utilized data-driven insights to assist traders in making informed decisions and optimizing profits in the stock market.