ROHIT JOSHI

E-Mail: adl5dk@r.postjobfree.com

Looking for Data Science/Machine learning jobs only.

• Experience of Machine learning algorithms like Linear and Logistic Regression, KNN, Support Vector Machines (SVM), Decision trees, Random Forest, Adaptive Boosting (ADABoost), Gradient Boosting, XGBoost and K-Means Clustering.

• Skilled in libraries like Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn.

• Strong Mathematical foundation and good in Statistics.

• Feature engineering in Python – Missing value treatment, outlier handling, data transformation, feature selection and reshaping data using Python packages like Numpy, Pandas and Scikit Learn.

• Good at fundamentals of C

• Self-motivated team player.

• Good analytical and problem solving skills.

• Bachelor of Engineering (B.E) in electronic and telecommunication (EXTC) in anuradha engineering collage, chikhli under Sant Gadge Baba Amravati University(SGBAU), chikhli in 2016

• HSC from Shivaji jr College, chikhli, maharashtra State Board in 2011

• SSC from Adarsh vidyalaya, chikhli, maharashtra State Board in 2009

• Programming Languages: Python, Machine Learning, Numpy, Pandas, Sklearn, Tensorflow, C++(basics).

• Visualization Tools and Libraries: Basic understanding of Matplotlib, Seaborn and Tableau

• Platforms and Misc.: Anaconda, Jupyter Notebook, Google Colab, Spyder IDE Company Netzwerk Academy

Role Data Science Intern

Technologies used Python, Machine Learning, Tableau Responsibilities • Understanding the problem statement, analysing the problem, building architecture on how to solve the problem.

• Collecting, cleaning, transforming and analysing the data.

• Building Machine Learning models.

• Training and testing ML models.

• Learning Flask for Model Deployment.

PROFESSIONAL SUMMARY:

EDUCATION QUALIFICATION:

TECHNICAL SKILLS:

INTERNSHIP EXPERIENCE Nov 2020 – April 2021

Description • The aim of project is to detect if a person has heart diseases

• We can give this dataset as the input after the dataset Is given input to study dataset undergo clustering and classification

• We use logistic regression for preprocessing of the dataset so that the outlier are detected and eliminated then it will be more efficient and accurate to predict the disease

• At the end of this project, a model for mobile price prediction should have been evaluated.

Tools and Technologies

used

Python, Numpy, Pandas, Matplotlib, Seaborn, Machine Learning Algorithms, Jupyter Notebook(Anaconda 3)

GitHub link https://github.com/rj007/ml-project

Description • The project aims to predict the mobile price based on freatures and attributes data of them.

• At the end of this project, a model for mobile price prediction should have been created and evaluated.

Tools and Technologies

used

Python, Numpy, Pandas, Matplotlib, Seaborn, Machine Learning Algorithms. GitHub link https://github.com/rj007/ml-project2

Description • The project aim's to analyze the data and predict the churn of users

• Calculation of basic statistics and research of dependencies and formulation of hypotheses

• Building models for predicting the outflow based on tested hypotheses and identified relationships

• Comparison of the quality of the obtained models Tools and Technologies

used

Python, Numpy, Pandas, Matplotlib, Seaborn, Machine Learning Algorithms, GitHub link https://github.com/rj007/ml_project3

DOB 07/08/1993

Address Near mango tree, Gajanan nagar,chikhli,dist buldhana,maharashtra Languages Known English, Hindi, Marathi

Project 3: Telecom_users

DATA Project SCIENCE 1: heart_PROJECTS: disease_prediction Project 2: mobile_price_prediction

Personal Details:

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