
Data Analyst with Engineering Background | 2+ years of experience | Proficient in SQL, Power BI, Python | Skilled in machine learning models | Self-Starter with strong analytical skills
GPA: 7.7
Data Analytics, Python, SQL,Power Bi, DAX, Azure Data Factory, ETL,Machine Learning, Deep Learning, NLP, Excel, DAG's,Apache Airflow
Natural Language Processing: Performed text preprocessing methods such as stemming and lemmatization on movie reviews. Built several sentiment analysis algorithms on the cleaned text model to determine if the movie review has a positive, negative, or neutral sentiment.
Lending Club: Lending Club is a lending company that connects people who need money (borrowers) with people who have money (investors). Built ensemble models to predict the people who have a high probability of paying back this reduced risk for the investors.
FIFA20: Analyzed FIFA 20 players dataset with multiple features and grouped them into different clusters using KNN according to their traits.
Rice Leaf Detection: Trained a deep learning model using CNN to classify , which disease category the image belonged to, and tested it over unseen data to achieve an accuracy of over 90%.