Shweta Mohit Wandile
Address: ***** ******* ***** ****, ***. 102, Raleigh, NC 27614
Mobile: 984-***-****
Email ID: adwz42@r.postjobfree.com
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OBJECTIVE:
To secure a challenging position as a Data Scientist where I can effectively contribute my skills, focus on industry requirements and develop myself as a professional by utilizing my knowledge, improvise skills and proven abilities in an organization that promotes learning, motivation and teamwork, so as to support the growth and profitability of the organization.
Training:
CodeKlass – Pune, India (Jan 2022 to Apr 2022)
Successfully completed “Data Science web development” training by using Python & Python Advance, Numpy, Pandas,Matplotlib, Open Cv, Machine Learning, HTML&CSS with following projects.
Open Cv Projects:-
Copy make border method :- Write a Machine learning mini project that draws a border automatically for a particular space in an image with the referenced color and thickness
Rectangle method 1 :- Draw a rectangle around an object that will make the object noticeable after the final image is presented.
Rectangle method 2 :- Draw a rectangle around an object in an image with the specified color and border thickness
Diagonal Line method :- Draw a diagonal line in a image specifying the starting point, the ending point, the color and the thickness of the diagonal line
Machine Learning projects:
Titanic Survival Prediction :- Using a dataset that contains data of the survivors and the non-survivors of the titanic ship, we create a machine learning algorithm that will predict the chance for the survivors and the non survivors in the given data.
Heart Disease Prediction :- Using a dataset that contains data of the disease affected and non-disease affected, we create a machine learning algorithm that will predict the chance for the heart disease affected and non-disease affected in the given data.
House-Price_Prediction-with-linear-Regression :- Using a dataset that contains data of the houses nearby based on several categories, we create a machine learning algorithm that will predict the price for the several houses nearby in the given data, that too using the linear regression.
Diabetes-Prediction-with-ML:-Predict the chance of diabetes occurring using the given dataset and then create a machine learning algorithm with it and use it for the future dataset to find out whether the person is having diabetes or not.
ICONIT – Raleigh, NC, USA (Feb 2023 to Mar 2023)
Recently finished the training with ICONIT on “Data Science with Deep Learning” by using Python & Python Advance, NumPy, Pandas, Matplotlib, Seaborn, Machine Learning, Deep learning with following projects.
NUMPY: NumPy is a powerful linear algebra library for Python. NumPy is also incredibly fast, as it has bindings to C libraries. NumPy is used for working with arrays. NumPy is short for "Numerical Python".
we will use it to generate data for analysis.
PANDAS: Pandas is a Python library. Pandas is used to analyze data.
MATPLOTLIB: Matplotlib is a low-level graph plotting library in python that serves as a visualization utility.
SEABORN: Seaborn is a library that uses Matplotlib underneath to plot graphs. It will be used to visualize random distributions.
MACHINE LEARNING: Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI).Machine Learning is a program that analyses data and learns to predict the outcome.
DEEP LEARNING: Deep learning is based on the branch of machine learning, which is a subset of artificial intelligence. Since neural networks imitate the human brain and so deep learning will do. It is a very important data science element that channels its modeling based on data-driven techniques under predictive modeling and statistics. Deep learning algorithms play a crucial role in determining the features and can handle the large number of processes for the data that might be structured or unstructured.
CERTIFICATION:
Certified “Data Science and Web Development” from CODEKLASS - 2022
Certified “Data Science (Machine and DEEP Learning)” from ICONIT - 2023
COMPUTER SKILL:
Sr. No.
Content
Category
1
Technology
Data Science
2
Programming Languages
Python,
3
Database
MS-SQL 2005, SQL, PL-SQL
4
Operating System
Windows 2000, Windows 10,XP Prof
5
Web Technologies
HTML,HTML,Css
ACADAMIC:
Secondary School – Nagpur Board, 2004, 81.86%
Higher Secondary School – Nagpur Board, 2006, 76.33%
Bachelor’s degree – Nagpur University, 2011, 78.00%
Masters – Nagpur University, 2016, 79.00%
PERSONAL:
Date of Birth : 17TH Jun 1988
Visa Type : H4 (EAD in Process)
Marital Status : Married
Languages : English, Hindi and Marathi.