Akash Mandlik

Pursuing a six-month data science fulltime internship, working on different tasks that involved solving real-world business problems using machine learning, deep learning, and NLP models and achieved >90% accuracy score. Utilized VS Code and Jupyter Notebook as the primary tools for data analysis and modelling, showcasing proficiency in both software tools. Developed a strong understanding of various business problems and solutions using machine learning algorithms, enabling the application of data science techniques to help organizations improve their operations and decision-making processes.

Design user-friendly website, including optimized check-out pages, resulting in a 25% increase in user clicks and client’s purchase. With a specific organizer, ticket ordering, bought information, and other things, the application manages the technological events. Worked on management dashboards for usage from a corporate viewpoint as a Python and Django/Flask developer.

Implemented exploratory data analysis (EDA) on large datasets using Python and SQL, identifying key trends and patterns in the data to inform business decisions. Developed and tested machine learning models, including regression and classification, to predict customer behaviour and optimize marketing strategies. Collaborated with cross-functional teams to develop dashboards and visualizations in Tableau, providing data-driven insights to senior leadership and stakeholders.

Relevant Coursework: Data Analysis, Machine Learning, Basic Deep Learning, Big Data, Cloud Computing, Web Development.

Relevant Coursework: Computer Science, Statistics and Probability Theory, Application of Mathematical concepts in computer science.