SACHIN JOSE

• Kept current knowledge of applicable codes and required procedures to optimize learning environments
• Worked with parents and staff to improve student behavioural and learning issues with proactive approaches
• Improved student educational plans by advising on course selection, progress plans and career decisions
• Performed lesson observations to measure teaching performance and provide constructive feedback.

• Handled high-volume credit and cash transactions using Point Of Sale (POS) systems efficiently
• Used outstanding communication and relationship-building skills to provide customers with first-class banking experiences
• Maintained extensive knowledge of banking products and services to deliver optimal customer guidance
• Handled customer cheques appropriately, ensuring swift processing and deposit
• Greeted customers warmly and professionally, maintaining faultless bank reputation.

Grade: Honors First Class Key Modules: Programming Of Data Science, Principals Of Data Science, Machine Learning, Data Management Systems, Information Retrieval, Big Data Analytics And Data Visualization. Employability Modules: Entrepreneurial Practice Coursework in Data science: Heart disease prediction using machine learning using supervised learning logistic regression, decision tree and linear support vector machines Implementations of transition matrix, and its applications Programming with python ,R,SQL and Excel Database Management: MySQL, Oracle

PROJECTS

• · Investigating Netflix Movies and Guest Stars in The Office

Created data frame from dictionary, data manipulation, data visualization, Case study

• · Predicting heart disease using machine learning

Data visualization, cleaning of data, pre-processing, processing data with machine learning algorithms

• · CO2 emission and more

Big data analytics , predicting CO2 levels, visualization using Tableau, using pyspark for machine learning algorithms

• Estimating the Levels of Obesity Based on Eating Patterns and Physical Condition .

Data analysis , data modelling, machine learning etc

Key Modules : mathematics(calculus, differential equations, trigonometry, linear algebra, fuzzy mathematics , etc), statistics and physics Developed strong analytical and problem-solving skills through rigorous coursework in calculus, linear algebra, and differential equations. Studied advanced topics in statistics, including probability theory and statistical inference, and applied these concepts to real-world data sets. Demonstrated strong critical thinking and communication skills, both through written assignments and in-class presentations and discussions.