Data Science Intern

• May 2023 - Present

• Create and execute a predictive model that can analyze information about top fin-tech companies having best AI capabilities from public data sources and generate automated market analysis reports. • Identify, collect, and preprocess relevant public data sources, including company patents, collaborations, social media coverage, competitors benchmark and industry-specific databases. • Develop, implement, and maintain machine learning models for market trend analysis, market predictions, and company buying signal detection. • Web scraping using Selenium to automate the data collection process. • Utilize NLP model and techniques to extract and analyze textual data from various sources, transforming unstructured data into actionable insights. • Evaluate the performance of predictive models using appropriate metrics and validation techniques, refining and optimizing models as needed. • Develop data visualization tools and automated reporting systems to communicate complex findings to stakeholders in a clear and concise manner. Show less

Student

• Sep 2022 - Present

Machine Learning Projects-> • Designed a predictive model for evaluating “Higher Education Students Performance Analysis” using Python libraries Pandas, Scikit-Learn, Numpy, Matplotlib etc. • Designed a predictive model for predicting views on Youtube videos using Python and PySpark. • Designed various small predictive models using machine learning algorithms like Decision Tree, Random Forest, SVM, Linear Regression etc. ELT Data Flow Pipeline-> Built an ELT data flow pipeline on unstructured data from Reddit.com using PySpark and did scalability analysis on it. Deep Learning Project-> Built a deep learning model for 'Human Stress Prediction' on Reddit posts using LSTM and CNN architectures Show less

Business Associate

• Jul 2015 - May 2022