Summary
Overview
Work History
Education
Skills
Timeline
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Rishi Venkat Sompalli

Rishi Venkat Sompalli

Englewood

Summary

Results-driven Data Analyst & Machine Learning Engineer with 5+ years of experience designing data-driven solutions across telecom, cloud, and e-commerce industries. Skilled in data engineering, advanced analytics, and AI/ML model development, with a proven track record of building scalable tools and driving measurable business impact.

Overview

5
5
years of professional experience

Work History

Data Analyst II

Boost Mobile
10.2022 - Current
  • Developed and deployed an in-house Contract Management Tool (CMT) for the Transport department, leveraging Python Flask, React, and SQL with embedded ML-driven vendor scoring models; reduced site award turnaround time by 45% and prevented ~$2.5M/year in redundant dual site awards.
  • Earned 2nd place company-wide Hackathon Award (2023) for building the CMT, recognized for innovation, automation, and direct cost savings.
  • Designed and implemented a Data Center Audit mobile application (Flutter front-end, Flask/MySQL back-end, Zscaler ZPA integration) enabling real-time audits with AI-driven serial number recognition and image pattern validation from equipment photos; improved audit completion efficiency by 60% and automated discrepancy detection to reduce manual errors by 40%.
  • Built end-to-end ETL pipelines to extract, clean, and transform large datasets from relational DBs, flat files, and Snowflake into analytical views; improved data ingestion speeds by 30% and accelerated reporting cycles.
  • Led network health automation project: developed Python/Paramiko scripts to monitor dark fiber and CSR/AR routers, integrated with ML-based anomaly detection to flag failures; reduced downtime detection latency by 70% and cut incident response time from hours to .
  • Designed an interface/router failure prediction system combining log parsing, ARP adjacency analysis, and uptime modeling; improved predictive accuracy by ~40%, proactively preventing outages.
  • Applied ML ensemble modeling (classification, Naive Bayes, and scoring algorithms) to vendor selection, incorporating MRC/NRC costs, QBR scores, SLA delivery, and resolution times; increased vendor selection precision by ~35%, improving contract negotiation outcomes.
  • Partnered with cross-functional teams to design Snowflake + Tableau dashboards surfacing contract KPIs, vendor rankings, and network reliability metrics; enabled leadership to track $5M+ in annualized savings and SLA compliance in near real-time.

Machine Learning Engineer

TekHub Inc
10.2021 - 10.2022
  • Designed and implemented ETL pipelines on Google Cloud Platform (BigQuery, Cloud Data Fusion, Cloud Composer, Apache Airflow) to preprocess and transform large datasets for advanced analytics.
  • Built custom ML models leveraging structured and unstructured data; optimized data pipelines for feature engineering and model deployment.
  • Applied deep learning with Convolutional Neural Networks (CNNs) to develop image classification and visual search capabilities for an e-commerce garment platform, enhancing search accuracy and customer experience.

Machine Learning Engineer

Couture Technologies
01.2021 - 08.2021
  • Partnered with product teams to translate business objectives into ML models with measurable KPIs; implemented state-of-the-art computer vision algorithms (object detection, segmentation, pose estimation, landmark detection).
  • Managed end-to-end ML lifecycle: data acquisition, augmentation, training, tuning, and deployment; ensured production-ready models followed strong software engineering practices.
  • Improved model performance by experimenting with multiple algorithms and ranking them by accuracy, precision, and deployment success rates.

Education

Computer Science

University of Colorado
Denver, CO
05-2020

Bachelor of Engineering - Computer Science

Anna University
Chennai, IN
06-2017

Skills

    Programming Languages: Python, C/C, JavaScript, Angular, HTML, CSS, SQL, Flask, MongoDB, NodeJS, Java

    IDE, Applications and Cloud: AWS, S3, EMR, EC2, Git, GitHub, CI/CD workflow, Tableau, Visual Studio Code, Jupyter Notebook, Google Colab, PyCharm CE, SSIS, Android Studio, SQL Server, SageMaker

    Operating Systems/ SDLC methodologies: Windows, MacOS, Linux, Agile, Scrum

    Data Science Libraries: NumPy, Pandas, SciPy, SciKit-Learn, Seaborn, Matplotlib, ggplot2, Plotly, Keras, TensorFlow

Timeline

Data Analyst II

Boost Mobile
10.2022 - Current

Machine Learning Engineer

TekHub Inc
10.2021 - 10.2022

Machine Learning Engineer

Couture Technologies
01.2021 - 08.2021

Computer Science

University of Colorado

Bachelor of Engineering - Computer Science

Anna University

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