Not your regular CSE undergrad, I've got a penchant for turning raw data into gold mines and crafting solutions that leave algorithms in awe. From unraveling the mysteries of Machine Learning to conjuring captivating Business insights, I've embarked on a quest to conquer the realms of Data Science, Software Development, and beyond!
Whether you are an industry aficionado or a fellow coder, I invite you to connect with me. But beware, I can figure it all out. Be it your secret guilty pleasure, based on your Amazon shopping cart, or your love life, using your Netflix watch-list.
Crafted an End-to-End Deep Learning model to recognize 160+ audio features and classify speech signals into emotions using Multi-Layer Perceptron with an accuracy of 75%. Deployed the model on a Streamlit dashboard for real-time emotion analysis.
Streamlined a filtering system on a database of 10,000 movies. The model provides recommendations based on the genres watched by similar users, i.e. collaborative filtering, through matrix factorization. Also implemented content based filtering using TF-IDF vectors.
Engineered an End-to-End Machine Learning model in Python for predicting test scores based on certain factors with almost 90% accuracy. Launched the same using an HTML/CSS and Flask application, deployed with the help of AWS Elastic Beanstalk.
Finding out the answer to "Who is the better player between Messi and Ronaldo?" using Exploratory Data Analysis and Visualization. Created a comparative statistical study from web-scraped data.
Designed an End-to-End system utilizing HTML/CSS and Flask framework, implemented using Render. Enabled seamless communication and response handling across multiple channels, backed by data storage and retrieval using MySQL Workbench.
Built a classification model utilizing Multinomial Naive Bayes and NLP techniques that can categorize text input as either 'spam' or 'ham' with an accuracy of 98%. Employed an adaptive dataset of over 5500 emails, ensuring the model remains alert to new spam patterns.
Generated a collection of 7 highly interactive and dynamic dashboards on Tableau, that provide a comprehensive in-depth analysis of the functioning, Sales, Revenue, Profits, Orders and Returns of a Superstore.
Let's open a realm of new possibilities!