Resume

Experience

2022 - Present
Metronet

Data Scientist

- Designed and implemented Alteryx workflows to automate data extraction, transformation, and loading processes, resulting in significant time savings and improved data accuracy.
- Used Alteryx Server to schedule and automate ETL workflows, reducing manual effort and improving overall efficiency.
- Extracted latitude and longitude data from bulk data using Python and wrote ETL pipelines for storing it in EDW.
- Worked with cross-functional teams to design and implement data integration solutions using Alteryx and Python, ensuring alignment with business requirements and data governance standards.
- Created an ETL pipeline to store Ookla SpeedTest data in EDW database, reducing search time by 40%.
2021
Metronet

Software Engineer II

- Participated in the entire software development lifecycle, from requirements gathering to testing and deployment.
- Used NLP to predict customer sentiment, topics, and extract entities, improving customer service response time by 60%.
- Collaborated with cross-functional teams to design and implement solutions that meet customer needs and business requirements.
- Implemented a churn prediction model in PEGA, reducing customer churn by ~30%.
- Developed JSON-centric applications for TMForum using Oracle Autonomous Database, reducing costs and improving data processing time by 2x.
- Contributed to the development of technical documentation, user manuals, and release notes to ensure that stakeholders are informed about the software’s functionality and updates.
2020
Foxx Equipment Company

Web Developer

- Worked on website migration with 5000+ products from Drupal 8 to WordPress
- Worked on JSON API to fetch and compare pricing from other websites.
- Automated and optimized collecting data using SQL, reaching over a 35% system response time boost.
2020
National Science Foundation

Research Assistant

- Developed an End to End ML tool (OCEL.AI) which is used by 4 universities with 100+ live projects.
- Data visualization is done on structured, unstructured, text, image data using D3.js, T-SNE, Tableau.
2020
Google

CSSI Teaching Assistant

- Teaching Assistant of Computer Science Summer Institute - CSSI Course.
- Mentored around 20 incoming first-year college students from around the globe throughout their completion of a Google-Sponsored Coursera Specialization course – specifically Web Development (HTML5, CSS, JavaScript, jQuery).

Education

2019 - 2021
University of Missouri - Kansas City

MS in Computer Science

Grants: Dean’s International Student Award (DISA), Chandra Scholarship
Coursework: Design Analysis of Algorithms, Deep Learning, Cloud Computing, Web Programming, Big Data Analytics, ADBMS, Unity AR
2015 - 2019
Graphic Era University

B.Tech in Computer Science and Engineering

Location: Dehradun, India

Research & Publications

2020
IEEE International Conference

A Machine Learning Based Approach for Progeria Syndrome Detection

See Publication
We proposed a generic framework for diagnosis of Progeria syndrome among the newborns. We proposed novel framework architecture of VGG-16. We have used multiple machine learning algorithms and feature extraction tools and we got best results in Logistic Regression algorithm.
2019
Springer

Indoor Object Classification Using Higher Dimensional MPEG Features

See Publication
We propose a generic model to classify a given image by detecting a specific image patch. Employing MPEG-7 features along with feature selection populates the feature space which is used to train using SVM classier.

Volunteer Work

2020
UMKC Enactus

Web Developer

Student volunteer at UMKC Enactus. Developed FeedKC website to connect food donors and requestors online. This project had reduced food waste by more than 700 lbs per semester. That's 700 lbs of food directly translating into dollars saved for their bottom line in just 4 months.
Website: www.feed-kc.com

Coding Skills

Python

95%

React Native

70%

Java

60%

HTML/CSS

95%

Node.js

65%

Skills

WordPress

100%

Web Development

95%

Mobile App Development

75%

Machine Learning

80%

Cloud Computing

60%

Machine Learning

PEGA

90%

Prediction Models

70%

Natural Language Processing

85%

TensorFlow

65%

Data Modeling

85%