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SHRUTI KESHARWANI

@shrutikesharwani

ML Intern at Prodigy Infotech

Thane, Maharashtra

https://www.linkedin.com/in/shruti-kesharwani-77a928237/

Prodigy InfotechIT Vedant Institute

Aspiring Data Analyst & Data Scientist with a strong background in Mathematics and analytical skills. Eagerly looking for role to apply my skills for start my career. and contribute to data-driven decision-making in a dynamic & collaborative environment.

Experience

ML Intern

Prodigy Infotech

Internship•Mar 2024 - Mar 2024

Actively engaged in real-world challenges, applying a diverse range of technical skills encompassing exploratory data analysis (EDA), data cleaning, visualization, and advanced modeling techniques in the domains of Data Science and Machine Learning.

Data Science & ML Intern

Cod soft

Internship•Jan 2024 - Jan 2024

Actively engaged in real-world challenges, applying a diverse range of technical skills encompassing exploratory data analysis (EDA), data cleaning, visualization, and advanced modeling techniques in the domains of Data Science and Machine Learning.

Data Science Intern

Bharat Intern

Internship•Jan 2024 - Jan 2024

Actively engaged in real-world challenges, applying a diverse range of technical skills encompassing exploratory data analysis (EDA), data cleaning, visualization, and advanced modeling techniques in the domains of Data Science and Machine Learning.

Education

IT Vedant Institute

Master in Data Science and Analytics with AI Course

Data Science and Analytics

Jun 2023 - Present

Mumbai University

Bachelors of Science

Mathematics

Jan 2023•Grade: 9.3 Points

Maharashtra Board

Higher Secondary Examination(12th)

Jan 2020•Grade: 72%

Maharashtra Board

School Secondary Examination(10th)

Jan 2018•Grade: 83%

Licenses & Certifications

Data Analysis with Python

IBM

Data Analytics with Power BI

Tech-Tip24

Data Visualization using Tableau

Great Learning Academy

Masters in Data Science and Analytics with AI Course

IT Vedant Education Institute

Skills

MySQL
Python
Numpy
Pandas
Matplotlib
Seaborn
Scikit-Learn
SciPy
Machine Learning
EDA
Supervised-Unsupervised Algorithms
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Support Vector Machines (SVM)
Bagging
Boosting
k-Nearest Neighbours (KNN)
K-Means Clustering
PCA
Deep Learning
Neural network
Tensorflow
Pytorch
Keras
Power BI
Data Visualization
Data Modelling
Dashboard
Filters
Functions
Dax function
Power Query
ETL
Tableau
Data Blending
Story-telling
Dynamic-Dashboards
Excel
VLookup
HLookup
Conditional formatting
Pivot table
Charts
Statistics
Problem-solving
Adaptive
Amicable
Communication
Quick Learner
Teamwork