Sunil Kumar
Summary
Seeking a challenging position to apply my expertise in data analysis, machine learning, and statistical modeling to tackle complex problems and deliver innovative solutions. Ready to combine tireless hunger for new skills with a desire to exploit cutting-edge data science technology.
Overview
1
1
Certification
Work History
Intern
The Sparks Foundation
Data Science and Business Analytics Intern
Concepts used:
I have created ML models and done exploratory data analysis on given data sets like COVID-19, IPL dataset, Retail store, Student dataset, Terrorism dataset & etc.
Supervised Learning: Linear Regression, Logistic Regression, SVM, KNN, Decision Tree, Random forest.
Unsupervised Learning: K-means.
Tool used : Python, Pandas, NumPy, Matplotlib, Scikit learn, SQl.
Tutor Mentor
11th To 12th, JEE Students And CBSE Board
- 2 + Years Experience as a Math Teacher (L1 Coaching )
- The topics include statistics and probability, calculus, mensuration, geometry, and vectors.
- Developed student confidence through positive reinforcement strategies.
- Tutored diverse groups of students to strengthen subject comprehension, boost confidence and build important learning skills.
- Motivated students towards learning and studying to build self-confidence and reduce fear of failure.
- Supported students with helpful study habits and exam strategies.
- Met with parents to discuss student progress and address concerns.
Education
Bachelor of Engineering - Mechanical Engineering
RKDF University
Bhopal06.2019
Skills
- Data Science/ Machine Learning/ Deep Learning Python, Data Visualization, Supervised learning algorithms, Unsupervised learning algorithms, ANN, CNN, EDA, Feature engineering, Feature selection & extraction, NLP etc
- Mathematics for ML
- Python Packages and Frameworks
Algebra, Statistics, Probability, Calculus, Matrices
- Database: SQL, MongoDB
- Visualization Tools: PowerBI, Excel
Scikit-Learn, Tensor Flow, Keras, API, NumPy, Pandas, SciPy, PySpark
Additional Information
Diamond Price Prediction
This project analyses diamonds by their cut, colour, clarity, price, and other attributes and predicts their price using various regression algorithms.
· Used libraries such as Pandas, NumPy, Seaborn, Matplotlib and Scikit Learn Algorithms to visualize the given dataset and estimate the price of diamonds based on the features.
· Analyzed and visualized the relation between different features of diamonds and their price.
· Performed Stratified sampling and Feature scaling of data.
Credit Card Fraud Detection
Created a Credit Card Fraud Detection model to recognize fraudulent credit card transactions so that customers are not charged for items they did not purchase.
Tools used- Python, Pandas, Numpy, matplotlib, seaborn, sklearn.
Netflix Data Analysis
I have done exploratory data analysis on the Netflix dataset
Tool used: Python, Pandas, Numpy, Matplotlib, PowerBI
Certification
Data Science Masters (PW Skills)
SOFT SKILLS
* Fast learner * Leadership *Problem-solving
* Communication Skills *Time Management
INTERESTS :
Data Science
Machine learning
NLP
Timeline
Intern
The Sparks Foundation
Tutor Mentor
11th To 12th, JEE Students And CBSE Board
Bachelor of Engineering - Mechanical Engineering
RKDF University
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