Sanjeet Gajjar
Applied AI ML @ JPMorganChase
About
Meticulous Data Scientist with experience in leveraging data trends and producing intelligence to enhance business planning and operations. Demonstrated expertise in project management, data analysis, and analyzing and visualizing large volumes of complicated data. Methodical with significant experience in data analytics, Machine learning, and statistical analysis. Technical Skills: Programming: Python, Pyspark, R, SQL, C++ Databases: Oracle, MySQL ML Libraries: Pandas, Numpy, Scikit-Learn, Matplotlib, Seaborn, Keras, Tensorflow, PyTorch, ggplot2, dplyr ML Algorithms: Regression, Classification, Clustering, Unsupervised/Supervised Learning, Deep Learning
United States
New York
Computer Software
Data Mining, Project Management, Data Analysis, Deep Learning, Engineering, Data Management, Python (Programming Language), Machine Learning, English, TensorFlow, Microsoft Office, Microsoft Excel, Data Science, Java, C++, Pandas (Software), NumPy, Matplotlib, Keras, Scikit-Learn
Experience
Applied AI ML
JPMorganChase
New York, New York, United States
Graduate Assistant
New Jersey Institute of Technology
• Spearhead diverse projects for the Dean’s office dealing with data capture, storage, configuration, and forecast analysis. • Collaborate cross-functionally to devise solutions and deliver projects on time. • Assist teachers with lesson preparation and curriculum implementation for the Engineering 101 course. • Grade homework assignments, tests, and special projects of 80 students weekly. • Liaise between professors and students to provide tutoring on engineering mathematics, calculus etc, • Assign, accept, and grade students' work according to processes outlined by professors, departments, and the university. • Analyze & generate insights into students’ performance pre and post introduction of SolidProfessor Module in the curriculum. • Optimize classes by developing new visual aids, supplementary notes, and online materials.
Education
New Jersey Institute of Technology
Data Science
Relevant Courses: Machine Learning, Big Data, Deep Learning , Data analysis with R, Data Management System, Data Mining, Applied Statistics, Statistical methods in Data Science
Sarvajanik College of Engineering & Technology
Computer Engineering
Sanjeet Gajjar's Contact Information
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