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Dhanush Hegde

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

Bengaluru

1+ year of work experience

Henkel
Apr 20266 mosSep 2026

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
Convin
Dec 20254 mosMar 2026

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
Trainity
Jan 20254 mosApr 2025

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.
Nitte University
Jul 20246 mosDec 2024

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.

Dhanush’s AI Stack

claude
claude
grok
grok
lovable
lovable
notion
notion
openai
openai
replit
replit

Education

Nmam Institute of Technology

Bachelor of Engineering - BE, Electronics and Communications Engineering

Nmam Institute of Technology

20214 yrs2025

Pre-University

R.N Shetty PU College

20212021

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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

Dhanush Hegde - Tech Intern in Bengaluru | Tal