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I'm a Software Engineer

I'm a Software Engineer who is passionate about working with data and bringing data insights closer to business users through the help of technology. I have experience in data engineering, big data, data science, data warehouse, back-end databases for web application on GCP, Azure and AWS. My tech stacks are Python, SQL, Linux, Spark, Kafka, Airflow, Tableau, BigQuery, Redshift, Azure Synapse and Kubernetes

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I'm a Lifelong Learner

I had both of my bachelors and masters in Business, but later on realized that technology is where my career path should be. I'm a self-taught developer who enjoy the ongoing pursuit of knowledge even outside of the formal education system. I believe in life-long professional development, and that I can learn anything with hard work and dedication no matter how late I start.

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I'm a Team Player & Leader

Throughout my education and career, I have been members and leaders of several teams and organizations. At Walmart, I led a team of 2 developers in the enterprise-wide effort to migrate On-prem Data Warehouse to Google Cloud Platform for our application. At NTT Data Services, I was the President of Membership in Toastmaster Organization for a year. In college, I managed a student organization of 10 members for 2 years. As a team member and a empathetic leader, I enjoy collaborating with people from different background and experience in order to achieve organizational goals.

My Work Experience

Software Engineer

Microsoft | 2022-present

Python Linux Kubernetes Kafka SQL PySpark Azure AWS

Software Engineer building, configuring, and managing back-end infrastructure on Azure and AWS for Flipgrid, a video-powered social learning platform

Master's in Computer Science

Harrisburg University | 2020-2022

Python SQL Tableau

Software Engineer

Walmart Global Tech | 2020-2022

Python PySpark Linux SQL GoogleCloud Airflow

ETL Software Engineer building an end-to-end analytical Supply Chain web application to track inventory and transportation from Suppliers to Stores for international markets

Tableau Systems Analyst

NTT Data Services | 2017-2020

Python SQL Tableau Excel Alteryx

Gathered requirements and delivered analytical projects to provide data democratization to the healthcare account IT service team. Designed and distributed ~50 operations and financial KPI reports to executives and leaders resulting in the reduction of outstanding IT tickets by 70% using Excel, Tableau, SQL Server and Alteryx

Business Analyst Intern

E2Open Inc.| 2017

QlikView Excel Excel-VBA

Developed financial and supply chain KPI dashboards using Excel (VBA) and QlikView for sales consultants in the USA and EU to leverage the service quality and product offerings to potential and existing clients

Master's in Supply Chain Management - UT Dallas

2015 - 2017

Python SQL Tableau Excel

My Personal Projects

Personal Website

I built this website with HTML, CSS & Javascript. It's also my first front-end project

html css javascript Learn more
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Deep Learning | Flower Classification with Pytorch

In this project, I built a neural network model on the training set of ~6.5k images of 102 flower species using 3 Torchvision pre-trained models: VGG16, VGG19 and DenseNet121, achieved accuracy of 89% on the test set of ~800 records

Python Pytorch jupyter-notebook Learn more

Data Viz | Seattle Airbnb Data Analysis

This project aims to analyze few aspects of the Airbnb renting scene in Seatle such as: the effect of location on price, occupancy pattern, earnings and reviews by host, and what guests say about their experience, etc using Python TextBlob and VaderSentiment, data visualization with Tableau, Seaborn and Wordcloud

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Deep Learning | Python Stock Price Prediction

With this project, I built time series deep learning models using Recurrent Neural Network (RNN), Long Short-term Memory Network (LSTM) and Gated Recurrent Unit (GRU) for stock price prediction.

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Unsupervised Learning | Identify Customer Segment

With this project, I identified characteristics of the core customer base to improve marketing strategy for a mail-order company from Germany using demographics data subset (~890k records) and the company’s customer subset (~191k records) with 85 features. Performed data cleaning, data transformation and K-means clustering using Python Scikitlearn and PCA

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ML with Spark| Predict Churn of Music Hosting Service

In this project, I analyzed customer activities of a music hosting service using Spark Dataframe and Spark SQL on a 247.6 MB dataset running on IBM Watson Studio. Built ML Pipeline with Spark ML to predict churn with 0.74 F1 score and 0.8 accuracy

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