Anant Paliwal
Bengaluru
Summary
Associate Machine Learning (ML) Expert and Data Enthusiast with 1+ year of experience in data processing, data analytics and Python and SQL. Having expertise in Exploratory Data Analysis, Feature Engineering, Model Development. Goal-oriented and highly motivated individual with strong communication skills & a can-do attitude.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Associate ML Expert
Deloitte
04.2022 - Current
- Proficient in Python and SQL, as well as relevant data science libraries including Pandas, Numpy, Matplotlib, Seaborn and Scikit-learn.
- Experienced in data preprocessing, cleaning, and transformation, as well as visualizing and manipulating big datasets.
- Skilled in statistical data analysis, AI, and ML techniques, both supervised and unsupervised modeling.
- Competent in tuning, evaluating, and validating ML/AI models, as well as training, deploying, and monitoring their performance.
- Familiarity with database technologies including SQL and MongoDB, machine learning frameworks like Scikit-learn and version control tools such as Git.
- Exceptional skills in communication, collaboration, teamwork, problem-solving, critical thinking and analysis.
Education
B.E - Civil Engineering
Dr. D. Y. Patil Institute of Technology
Pune08.2021
Skills
- SKILLS : Python, SQL(Mysql), Pandas, NumPy, Matplotlib, Seaborn, Sci-Kit Learn, Rest API's, Windows, Machine Learning, Data Visualization, Cloud Computing, Feature Engineering, Data Pre-Processing, and Cleaning
- TOOLS : Jupyter Notebook, Visual Studio Code, PyCharm, MYSQL Workbench, Git/GitHub, MS Excel, Postman, Anaconda, MongoDB
Additional Information
Title : Credit Risk Assessment : Developing a Loan Prediction Model
Problem Statement : The objective of this project is to develop a machine learning model that predicts whether a loan will have a good or bad status. This model will automate loan approvals and help make informed decisions based on customers' previous loan status. The final goal is to create an accurate loan prediction model that streamlines the approval process for returning customers, taking their previous loan status into account.
Roles & Responsibilities : The responsibilities for this project include handling missing values, outliers, imbalanced data, one-hot and label encoding for categorical features, and selecting the best model. Tasks involve identifying and handling missing values, transforming outliers, balancing data with sampling techniques, encoding categorical features, and selecting the best-performing model based on evaluation metrics. The aim is to build an accurate loan prediction model for loan approval automation.
Certification
IBM-Cognitive Classes :
- Data Analysis with Python
- SQL and Relational Databases 101
Kaggle :
- Data Cleaning Intermediate
- Machine Learning
- Feature Engineering
Timeline
Associate ML Expert
Deloitte
04.2022 - Current
B.E - Civil Engineering
Dr. D. Y. Patil Institute of Technology
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