Monika Bagyal

I'm

About

Software Engineer with 6+ years of work experience, currently working at Fintech Startup company - Own Up.

I am interested to solve challenging problems and learning new stuff.

Skills

In past few years I have enrolled in many online courses to learn new technologies, one of them is Data Scientist Nanodegree from Udacity. I got hands-on experience while working on interesting problems and datasets in Machine Learning and Data engineering.

Data Tools

Snowflake, DBT (data build tool), Jupyter Notebook, Informatica, Actimize (Reg-Tech), Toad, Oracle, Autosys.

Machine Learning

Linear Regression, Random Forest Classifier, Logistic Regression, SVM, GradientBoosting, AdaBoost, Kmeans Clustering, PCA.

Deep Learning

CNN, Computer Vision, Image Filtering, Neural Networks, differential privacy models, NLP, sentiment analysis.

Concepts

Algorithms, Data Structures, ETL, Data Warehousing, Relational Database, HDFS, MapReduce, Distributed Systems, Data Pipeline.

Programming

Python, SQL, Unix Shell Scripting.

Cloud

AWS Codebuild, EMR, S3, Spark, Notebook, EC2, Git/GitHub.

Visualization

Tableau, Plotly, Seaborn, matplotlib.

Libraries

Pandas, numPy, matplotlib, scikit-learn, TensorFlow, Keras, Pytorch, openCV, pySpark. scipy, fast-ai

Resume

Education

University of North Carolina at Charlotte

Master’s in Computer Science - Data Science Concentration - 2020

Charlotte, NC, USA

Birla Institute of Technology and Science

Master’s in Software Engineering - 2014

Pilani, Rajasthan, India

HNB Garhwal University

Bachelor of Computer Applications - 2010

Srinagar, Uttarakhand, India

Professional Experience

Software Engineer - Own Up

Feb-2021 - Present

Senior Software Engineer - UBS Bank

2016 - 2017

Senior Software Engineer - BNP Paribas

2014 - 2015

Software Engineer - UBS Bank

2010 - 2014

Portfolio

My portfolio projects on GitHub.

  • All
  • regression
  • classification
  • UnSupervised
  • NLP
  • Deep Learning
  • Recommendations

Blogs

Recently, I started writing on Medium for Towards Data Science A Medium publication sharing concepts, ideas, and codes.

How to predict customer churn using Machine Learning model on Spark?

Explore your Big Data using Spark, a beginner’s approach.

How to perform Data Analysis using the CRISP-DM approach?

CRISP-DM stands for a cross-industry standard process for data mining.

Fun Facts

Contact

Location:

UNC Charlotte, Charlotte, NC

Background Photo by Jess Bailey on Unsplash