---
title: "Bishnu Prasad Sahu - Implementation Specialist - Technical Consultant in Bhubaneswar | Tal"
description: "Meet Bishnu Prasad Sahu, Ex Implementation Specialist Intern at Simetrik | Ex AI Lab Intern at COE NIC | B.Tech in Computer Science at KIIT based in Bhubaneswar. AI stack includes langchain, notion, and openai."
image: "https://tal.club/meet/bishnu-prasad-sahu/share-image"
---

# Bishnu Prasad Sahu on Tal

## Headline

Ex Implementation Specialist Intern at Simetrik \| Ex AI Lab Intern at COE NIC \| B\.Tech in Computer Science at KIIT

## About

Currently pursuing a Bachelor of Technology in Computer Science at KIIT, contributing as an AI Lab Intern at the National Informatics Centre, Govt of India\. Certified in Strategy and Game Theory by IIM Ahmedabad and Business Analytics by the University of Colorado Boulder, demonstrating a strong foundation in analytical reasoning and strategic decision\-making\.

## Location

Bhubaneswar

## AI stack

langchain

notion

openai

replit

## Work experience

Implementation Specialist \- Technical Consultant at Simetrik, Jun 2025 \- Sep 2025 · 4 mos, On\-site, \- Supported the implementation and optimization of automation solutions for financial data workflows, ensuring efficiency and accuracyin client operations\. \- Gained hands\-on experience with Simetrik’s automation ecosystem, completing certifications in Automatizar, Gestionar, and Auditar,which strengthened expertise in process automation, management, and auditing\. \- Collaborated with cross\-functional teams to troubleshoot technical challenges, streamline deployment, and deliver value\-drivensolutions to enterprise clients\. \- Developed problem\-solving, client engagement, and consulting skills while adapting to fast\-paced, real\-world business requirements\.

AI Lab Intern at National Informatics Centre, Govt of India, May 2025 \- Jul 2025 · 3 mos, Kolkata, West Bengal 700020

Intern at Unified Mentor, Dec 2024 \- Jan 2025 · 2 mos, Remote, The internship was focused on the application of machine learning methodologies, using Random Forest Classifiers among others, in solving some real\-world problems such as employee attrition\. This includes handling a project from end\-to\-end, starting with the exploration and preprocessing of a dataset, where categorical variables are transformed using one\-hot and binary encoding to make sure that the model is correctly represented\. Feature engineering and data manipulation covered the merging of data frames and the conversion of categorical features into their numerical formats\. Quite significantly, much emphasis was given to feature importance evaluation in order to find the key determinants of employee turnover, including monthly income, age, and years of service\. It also underlined the problem of handling unbalanced datasets and treatments that the model results would need to provide actionable insight\. Technical ability in Python, Pandas, NumPy, and Scikit\-learn skills were key toward the implementation and adjustment of machine learning models\. More than purely technical aspects, the work demands an in\-depth understanding of workforce analytics, how predictive models may be used, and how the insights from data can help solve business problems\.

Developer Cohort 5 at Salesforce, Nov 2023 \- Jan 2024 · 3 mos, Remote

Host at International Conference ESMAC\-2022, Nov 2022 \- Dec 2022 · 2 mos, Bhubaneswar, Odisha, India

## Education

Bachelor of Technology \- BTech, Computer Science, KIIT \- Kalinga Institute of Industrial Technology

[View the original profile](https://tal.club/meet/bishnu-prasad-sahu)

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