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Mayur Gargade

@mayurgargade

Engineer at Sacha Engineering Pvt Ltd

Pune

SACHA ENGINEERING PVT LTDSAVITRIBAI PHULE UNIVERSITY

Mayur Gargade is a Data Scientist and Engineer with a strong background in Statistics. He currently serves as an Engineer at Sacha Engineering Pvt Ltd, where he specializes in sensor calibration and signal transformation. Previously, he worked as a Data Scientist at VisionNLP LLP, developing predictive models for lead generation and cost estimation using machine learning techniques.

Experience

ENGINEER

SACHA ENGINEERING PVT LTD

Feb 2023 - PresentChennai, India

Developed an Signal Transformation Technique model to generate sensor curves for different speeds and modes. Dropped missing, unique, redundant, and highly correlated features and created master data for all vehicle data. Performed Regression method for Threshold generation and validated generated curves using an in-house algorithm.

DATA SCIENTIST

VISIONNLP LLP

Jan 2022 - Jan 2023Pune, India

Built a classification model to predict whether students will join the class or not. Implemented logistic regression, SVM, Random Forest, and KNN. Built a Regression Model to predict the cost required to transport goods from one location to other locations. Built a Classification Model to predict whether the client will subscribe or not to a term deposit.

Education

SAVITRIBAI PHULE UNIVERSITY

M.SC.

STATISTICS

Jan 2021

FERGUSSON COLLEGE, PUNE

B.SC.

STATISTICS

Jan 2019

Licenses & Certifications

Neural Networks and Deep Learning

Coursera

SQL Essential Training

LinkedIn

NLP Essential Training

LinkedIn

Tableau for Data Scientists

LinkedIn

Applied Machine learning

LinkedIn

GitHub for Data Scientists

LinkedIn

Advanced Pandas

LinkedIn

Object Oriented Programming

LinkedIn

Skills

Python
R
SQL
SAS
Google Colab
Jupyter Notebook
GitHub
R studio
Tableau
Excel
AWS
Pandas
Numpy
RegEx
Scikit-Learn
Matplotlib
XGBoost
Linear Algebra
Hypothesis Testing
ANOVA
Linear Regression
Logistic Regression
Decision Tree
KNN
SVM
Naive Bayes
Bagging and Boosting
Hyper parameter tuning
Regularization
PCA
Clustering