Hi, I'm Ankit Kumar
Highly motivated and technically proficient data science enthusiast with a focus on deep learning, analytics, and machine learning. Possess a solid foundation in statistical analysis, programming, and data visualization. Proficient in Python, and SQL with a keen interest in leveraging advanced algorithms to extract actionable insights from data. Skilled in building predictive models, neural networks, and deploying machine learning solutions. Eager to apply theoretical knowledge in a practical setting to solve real-world problems and contribute effectively to data-driven decision-making processes.
Song Recommendation
This Python script implements a web-based Song Recommendation App using Dash, offering users personalized song suggestions based on selected songs or manual inputs, leveraging both hybrid and content-based recommendation algorithms.
Netflix Subscription For-casting
Forecasting Netflix subscriptions entails using statistical methods like ARIMA to analyze past subscriber data, predict future trends, and inform strategic decisions for growth and resource allocation in the competitive streaming market.
Stock Market Analysis
Performing stock market analysis leveraging Python's powerful data analysis libraries to gain insights into market trends and patterns.
Spotify Sentiment Analysis
Unveiling sentiments within mobile app user reviews through data analysis techniques to discern positivity, negativity, or neutrality.
Python-Powered RFM Analysis: Unveiling Insights with an Analytical Dashboard
Developed Python-based RFM Analysis and Dashboard for actionable customer
insights.
Global(Walmart) Store Analysis
Analyzing sales and profits across regions, categories, and cities forms the
foundation of this project. Prioritizing product performance, the focus is on
assessing profitability and losses in diverse states and cities.
Hourly Bikes Rental
For this project, my task involved integrating historical usage patterns with
weather data to predict hourly bike rental demand.
Contact me
Passionate and driven candidate with proven expertise and a track record of success. Excited to bring value to your team and drive results.