---
title: "Dhanush Hegde - Tech Intern in Bengaluru | Tal"
description: "Meet Dhanush Hegde, Tech Intern @Henkel | Ex - @Convin | SAP Basis | SAP Administration | Data Analyst | Data Science | SaaS & AI Analytics based in Bengaluru. AI stack includes claude, grok, and lovable."
image: "https://tal.club/meet/dhanush-hegde/share-image"
---

# Dhanush Hegde on Tal

## Headline

Tech Intern @Henkel \| Ex \- @Convin \| SAP Basis \| SAP Administration \| Data Analyst \| Data Science \| SaaS & AI Analytics

## About

Entry\-level Analyst with hands\-on experience in business analytics, conversational intelligence, and AI\-driven products\. Strong foundation in SQL, Python, Power BI, and KPI\-based analysis, with proven ability to convert complex data into actionable business insights\. Worked on real\-world production data, analyzing 2,000\+ AI voicebot conversations to identify customer engagement trends, drop\-off drivers, and funnel inefficiencies, contributing to a 35% improvement in early engagement detection\. Experienced in building performance dashboards, conducting exploratory data analysis \(EDA\), and presenting insights to cross\-functional stakeholders\. Hands\-on exposure to machine learning and applied AI, including CNN\-based computer vision models \(95% accuracy\) and end\-to\-end ML workflows \(data preprocessing, training, evaluation, and deployment\)\. Built scalable Python APIs using FastAPI and Docker, including SAP data integration pipelines for real\-time analytics use cases\. Comfortable working across analytics, engineering, and business teams, with a strong focus on metrics tracking, operational efficiency, customer experience, and decision support\. Quick learner with startup experience, adaptable to new tools and problem domains\. Actively seeking Data Analyst / Business Analyst / Analytics roles in SaaS, AI, fintech, or product\-driven companies, where data is used to drive growth, performance optimization, and customer outcomes\. Core Skills: SQL \| Python \| Data Analysis \| Power BI \| Tableau \| EDA \| KPI & Metrics Tracking \| Machine Learning \| FastAPI \| Docker \| REST APIs \| SAP Fundamentals \| Cloud \(OCI\) 📍 Bangalore, India

## Location

Bengaluru

## AI stack

claude

grok

lovable

notion

openai

replit

## Work experience

Tech Intern at Henkel, Apr 2026 \- Sep 2026 · 6 mos, Bengaluru, Karnataka, India, During my internship at Henkel's Global Tech Center, I worked with the SAP Basis team and got hands\-on exposure to how a large enterprise keeps its SAP landscape running\. \->Monitored system health by analyzing system logs, databases and background jobs using monitoring T\-codes \->Studied TMS and ChaRM to understand how transport requests are tracked and managed across a 3\-tier SAP landscape \->Explored S/4HANA and SAP Fiori architecture, with hands\-on work on OData services and the Fiori Apps Reference Library \->Practiced root cause analysis on system issues Skills: SAP Basis, S/4HANA, SAP Fiori, OData, TMS/ChaRM, System Monitoring, Root Cause Analysis

Data Labs Intern at Convin, Dec 2025 \- Mar 2026 · 4 mos, Bengaluru, Karnataka, India, At Convin, a conversational intelligence startup, I analyzed bot conversation data to understand customer engagement and improve voicebot performance\. \->Analyzed 2,000\+ bot conversations and improved early customer engagement detection by 35% \->Identified drop\-off drivers and engagement trends using KPI\-based dashboards \->Presented actionable insights to stakeholders to guide voicebot improvements Skills: Data Analysis, SQL, Python, Power BI, KPI Dashboards, Stakeholder Communication

Data Analyst Intern at Trainity, Jan 2025 \- Apr 2025 · 4 mos, Remote, \- Completed a 15\-week internship focused on real\-world data analytics applications using Excel, SQL, Python, Power BI, and Tableau\. \- Built interactive dashboards, performed data cleaning and visualization, and derived business insights through end\-to\-end projects\. \- Collaborated on modules including data fundamentals, statistics, and data storytelling\.

Machine Learning Intern at Nitte University, Jul 2024 \- Dec 2024 · 6 mos, Nitte, \-Resistor Value Detection Using ML and Raspberry Pi\. \-Designed an object detection system using an SSD MobileNetV2 model, achieving 95% accuracy in identifying resistor values\. \-Integrated machine learning with Raspberry Pi, processing 1,000\+ components in live tests\.

## Education

Bachelor of Engineering \- BE, Electronics and Communications Engineering, Nmam Institute of Technology

Pre\-University, R\.N Shetty PU College

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

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