Kaivalya Durafe
@kaivalyadurafe
AI/ML Engineer Intern at Mobiloitte Technologies
Pune, India
Kaivalya Durafe is a dedicated Data Scientist with experience in AI/ML engineering and data analysis. He has expertise in developing predictive models using Python libraries like Numpy, Pandas, and Scikit-learn, including work with LSTM and ANN algorithms. His skills span data visualization using Power BI and proficiency in SQL, making him capable of transforming complex data into actionable insights.
Experience
AI/ML Engineer Intern
Mobiloitte Technologies
Analysis of the NFT marketplace data using the Numpy, Pandas, Matplotlib, Seaborn libraries and Visualize the key insights graphically in Python. Developed the interactive Visualization Dashboard using Power BI. Built the Blockchain Price prediction model using the LSTM. Acheived an model accuracy of 90.92%.
Data Science Intern
Code Clause
Performed the Sales Analysis on the Super Market Sales Data and performs the Exploratory Data Analysis (EDA). Used the Numpy, Pandas, Matplotlib, Seaborn libraries in Python and found out many useful insights.
Data Science Intern
College Ranker
Created the Customer Segmentation model using the K-means clustering algorithm to create clusters and segment the data in Machine Learning. Analyze the dataset in different ways, and also Visualize the dataset to know the details of the dataset and find the relation between different columns using Numpy, Pandas, Matplotlib and Seaborn libraries in Python.
Data Science Intern
LetsGrowMore
Task-1 : Performed Exploratory Data Analysis (EDA) on Terrorism Dataset using Numpy, Pandas, Matplotlib, Seaborn libraries in Python. Task-2 : Created Machine Learning model which Predicts the Flower Species using Decision Tree Classification algorithm along with the Numpy, Pandas, Matplotlib, Seaborn libraries for Data Analysis and Data Visualization in Python. Acheived an accuracy of 91.11%.
Data Science and Business Analytics Intern
The Sparks Foundation
Created Machine Learning model which Predicts the Students Percentage based on number of hours he studied using Linear Regression algorithm using Python language along with the Numpy, Pandas, Matplotlib, Seaborn libraries for Data Analysis and Data Visualization. Acheived an accuracy of 95.46%.
Education
JSPM'S Jaywant Institute of Management Studies
MCA
Modern College of Arts, Commerce and Science
Bsc(Computer Science)
Licenses & Certifications
Machine Learning
Great Learning
Power BI
Simplilearn
Deep Learning
Great Learning
SQL
Hackerrank
Python
Linkedln
AWS
Great Learning