---
title: "Deepa Soman - Database Engineer in Bengaluru | Tal"
description: "Meet Deepa Soman, Database Engineer – Python Automation & Data Analytics @ Universal Electronics | Python, GenAI Virtual Assistants based in Bengaluru. AI stack includes gemini, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/deepa-soman/share-image"
---

# Deepa Soman on Tal

## Headline

Database Engineer – Python Automation & Data Analytics @ Universal Electronics \| Python, GenAI Virtual Assistants

## About

As a Database Engineer at Universal Electronics, my work focuses on leveraging Python and data analytics tools to streamline multilingual workflows for projects such as VA and MyNevo\. Key contributions include automating processes like data extraction, cleaning, translation, and classification, as well as developing LG Endpoint Analysis and implementing business rules for improved data processing precision\. With a Master of Technology in Computer and Information Sciences from APJ Abdul Kalam Technological University and a Bachelor of Technology in Information Technology from Government Engineering College Idukki, my expertise lies in Python programming, GenAI virtual assistants, and data intelligence\. I am motivated to pursue impactful opportunities in data analytics, Python automation, and machine learning\-driven roles\.

## Location

Bengaluru

## AI stack

gemini

hugging face

langchain

langgraph

openai

ChatGPT Images

## Work experience

Database Engineer at Universal Electronics, Sep 2022 \- Present · 4 yrs 1 mo, Bengaluru, • Automated multilingual data\-analysis workflows for VA and MyNevo using Python and pandas, covering data extraction, cleaning, translation, classification and validation\. • Extracted, combined and processed large datasets from Microsoft SQL Server using SQL queries and batch\-processing techniques\. • Implemented configurable business rules to classify conversation outcomes, devices, brands, feedback, engagement, issues and interaction endpoints\. • Achieved more than 90% agreement with manually reviewed samples across key classification outputs\. • Developed LG Endpoint Analysis to process five input formats, identify endpoints and generate validated analytical outputs\. • Built Streamlit self\-service interfaces that allow users to upload Excel files, complete analysis and validation within 2–3 minutes, and download structured reports with exception highlighting\. • Optimized Cypress test automation using reusable JavaScript functions, reducing approximately one week of work for 5–6 people to one day for two people\.

Data Analysis Intern at Raahee, Jan 2022 \- Apr 2022 · 4 mos, India, • Created interactive Power BI reports to analyse employment and career\-development data and communicate key findings through clear visualisations\. • Cleaned and organised source data and transformed it into meaningful dashboards to support reporting and decision\-making\.

Computer Vision and Python Trainee at Pantechsolutions, Nov 2021 \- Dec 2021 · 2 mos, India, • Developed a prototype application that uses camera\-based images to estimate body measurements and recommend suitable clothing\. • Applied Python, image\-processing and computer\-vision concepts to support body\-measurement detection and personalised dress recommendations\.

Machine Learning and Data Science Trainee at Goeduhub Technologies, May 2021 \- Jul 2021 · 3 mos, India, • Completed 45 days of instructor\-led online training in Machine Learning and Data Science using Python\. • Studied core concepts in data preprocessing, exploratory data analysis and machine\-learning workflows\. • Gained practical exposure to applying Python\-based techniques to data\-science exercises and analytical problems\.

Software Trainee – AI Internship at TLI Knowledge Services Pvt\. Ltd, Apr 2020 \- Jun 2020 · 3 mos, India, • Contributed to an AI\-based apparel\-shopping automation prototype using image analysis\. • Supported image preprocessing and computer\-vision experimentation using Python and OpenCV\. • Explored convolutional\-neural\-network approaches for image\-based product analysis\. • Documented experiments and findings using Jupyter Notebook\.

## Education

Master of Technology, Computer and Information Sciences, General, APJ Abdul Kalam Technological University \(KTU\), Thiruvananthapuram

Bachelor of Technology, Information Technology, Government Engineering College Idukki \- India

## Public links

- github: https://github\.com/deepasoman93

[View the original profile](https://tal.club/meet/deepa-soman)

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