Data Analyst/Data Scientist with hands-on experience in data preprocessing, visualization, and machine learning. Skilled in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, and Seaborn. Experienced in regression, classification, clustering, recommendation systems, and deep learning. Applied data science across domains including healthcare, fraud detection, and mobile apps. Strong analytical skills, scientific approach, and a background in chemical engineering.
Self employeed
January 2023 - Present
• Built and deployed ML models for fraud detection, medical imaging, anomaly detection, and recommender systems. • Developed deep learning solutions using TensorFlow/Keras, including CNNs, autoencoders, and reinforcement learning agents. • Designed scalable ETL pipelines and automated workflows in Google Cloud and Snowflake for large-scale model training. • Implemented end-to-end ML pipelines from data ingestion to cloud deployment, accelerating project delivery cycles. • Created interactive BI dashboards for real-time decision-making in finance and healthcare domains.
City college of New York , Present
Chemical Engineering
Qwasar Valley School
Issued: 1/1/1970
Udemy
Issued: 1/1/1970
IBM
Issued: 1/1/1970
Issued: 1/1/1970
Perscholars
Issued: 1/1/1970
Verified Machine Learning Engineer
3-5 years of experience
Preferred commitment: Full Time
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