Preeyonuj Boruah

About Preeyonuj Boruah

Experienced Data Scientist with interest in MarTech, Customer Behavior, Machine Learning, and GenAI.Which industries and domains do you have experience in? I have worked in Retail, E-commerce, Manufacturing, and Telecom industries. In terms of technical domains, I have worked on Computer Vision, Signal Processing, GIS, NLP, Deep Learning, and Machine Learning.What are your proficiencies? I have extensive experience in Machine Learning and Deep Learning in general. I am proficient in various tech stacks, but my best work is with Python, SQL, and PySpark.How about Visualization? As a Data Scientist, visualization is an important part of repertoire. I have to be able to show the value behind my insights, and for that, I generally use Tableau, PowerBI, or visualization libraries within Python, such as Plotly, Seaborn, and Matplotlib.Are there any data platforms you have worked on? Part of my experience has been building production-ready data pipelines on different platforms. These platforms include Snowflake, BigQuery, Amazon Redshift, and dbt.What are you looking for? I am looking for an interesting use case where I can dive in and generate leads, create models to capture insights and then demonstrate its practicality to stakeholders. I have experience in every part of the pipeline and can lead teams to deliver on it! How do I contact you in case I have more questions? Here is my email: p••••••••@gmail.com. Feel free to drop me an email if you want to discuss anything, be it regarding my professional projects, my personal projects, or anything under the sun.

Experience

1. Data Scientist

   Verizon

   Aug 2024 — Present · NJ, US

   Developed a Customer Experience system using BigQuery, Python, and Tableau, enhancing network quality and availability predictions, leading to a 20% increase in efficiency and enabling tracking of 40% more operational metrics- Boosted service time by 30% for network technicians by identifying major outages in neighborhoods using Machine Learning models and presented in a Tableau Dashboard for quick access- Pioneered a logistical calculation approach using Geospatial APIs and Machine Learning algorithms for technicians to prioritize tasks optimally, reducing travel time by 15%- Optimized Uber H3 geospatial segmentation-based churn prediction system using advanced feature engineering and Machine Learning modeling leading to a 10% increase in Customer Retention Rate.

Education

• New York University

  Master's degree, Computer Engineering

• Savitribai Phule Pune University

  Bachelor's degree, IT