Indhra Kiranu N A – Data Scientist & ML Engineer

01. About Me

I'm a cloud-focused Data Scientist with 5+ years of experience specializing in building and deploying scalable battery analytics solutions. I have proven expertise in creating and orchestrating automated data pipelines in Azure for high-volume vehicle and battery telemetry.

I'm adept at integrating machine learning models into customer-facing frameworks and translating complex technical requirements into robust, product-oriented solutions. Passionate about leveraging data science in the automotive and energy sectors to deliver actionable insights and tangible business value.

Currently at Daimler Trucks Innovation Center (Mercedes-Benz R&D) in Bengaluru, I work on battery cell analytics for electric truck development, managing high-volume data from 500+ cells and 100 global cyclers.

5+
Years Experience

100M+
Records Migrated

80%
ETL Time Reduced

90%
Faster Flaw Detection

02. Skills & Technologies

Programming & Query Languages

Python R SQL

ML & AI Frameworks

scikit-learn TensorFlow PyTorch Keras XGBoost Fast.AI

Modeling Techniques

Linear Regression Logistic Regression Naïve Bayes K-Means Decision Trees Ensemble Models ARIMA Neural Networks Auto-Associative

Data & Statistics

Pandas NumPy SciPy Statsmodels Asammdf

Data Engineering & Big Data

PySpark Apache Spark Databricks Azure Data Factory

Cloud Environments

Microsoft Azure AWS GCP

Visualization & BI

Power BI Tableau matplotlib Seaborn Plotly

Data Science Practices

EDA Data Mining Time Series A/B Testing Hypothesis Testing Statistics

DevOps & Collaboration

Git Excel Stakeholder Mgmt

03. Featured Projects

Battery Data Analytics

Battery cell analytics workflows for electric vehicle development — data processing, KPI calculation, and visualization pipelines.

Jupyter Notebook Python Battery Analytics

NLP & Large Language Models

From scratch to advanced LLMs — comprehensive learnings and hands-on implementations all in one place.

Jupyter Notebook NLP LLMs Transformers

LLM RAG SEC Findings

Retrieval-Augmented Generation (RAG) implementation for processing and querying SEC filings using LLMs.

Python RAG LLM NLP

AI Agents — Zero to Hero

Hands-on AI agents using Ollama with no API keys — building and experimenting with autonomous agents locally.

Jupyter Notebook Ollama AI Agents

Hands-On Machine Learning

Core ML topics with short summaries, code snippets, and interview prep — scikit-learn, TensorFlow, Keras.

Jupyter Notebook scikit-learn TensorFlow Keras

Practical Deep Learning

Deep Learning hands-on coding and notes inspired by Jeremy Howard of Fast.AI — from fundamentals to advanced topics.

Jupyter Notebook Fast.AI Deep Learning Python

AutoTechQA

Automotive technology question-answering system leveraging NLP techniques for technical domain expertise.

Python NLP Automotive

Kaggle Competitions

Code competitions and experimental codes from Kaggle challenges — data science competition solutions and experiments.

Jupyter Notebook ML Competitions

PySpark Hands-On

Practical PySpark exercises and big data processing workflows for scalable data engineering.

Jupyter Notebook PySpark Big Data

Face Recognition CNN

Convolutional Neural Network for face recognition — computer vision implementation with deep learning.

Jupyter Notebook CNN Computer Vision

Microsoft Azure

Microsoft Azure cloud topics including Data Factory, ADLS, and cloud architecture patterns.

Azure ADF ADLS Cloud

Wine Quality Prediction

Predicting wine quality from chemical properties of wines from southern France using Data Science and ML.

Jupyter Notebook ML Data Science

View All Repositories

04. Where I've Worked

Senior Data Scientist Aug 2024 – Present

Daimler Trucks Innovation Center (Mercedes-Benz R&D) — Bengaluru, India

Instrumental in establishing the core battery cell analytics infrastructure for Mercedes Electric Truck development in Stuttgart, managing high-volume data from over 500 cells and 100 global cyclers. Designed and maintained the automated data ingestion pipeline using Azure Data Factory (ADF) to centralize sensor telemetry into Azure Data Lake Storage (ADLS), standardizing all raw data into a structured Delta Table format.
Developed and operationalized proprietary analytical scripts to calculate mission-critical KPIs—including DCIR, State of Health (SOH), and RPT estimation—and translated these results into dynamic Power BI dashboards, creating a customer-specific framework for R&D engineers to evaluate battery performance, lifetime, and safety.
Led the migration of 5 years of vehicle data (100M+ records) to Azure, building robust ADF pipelines that cut ETL time by 80%, ensuring data quality, integrity, and accessibility for modeling and analysis.
Developed and deployed ML models and AI solutions including early detection and forecasting of electric Axle failure using an Auto Associative Neural Network (AANN) with TensorFlow, resulting in a one-week early warning on vehicle downtime.
Mentored a cross-functional team of 2+ junior engineers in developing vehicle testing cases using an RAG-based open-source LLM, championing Python and ML best practices.

Data Scientist Nov 2020 – Jul 2024

Daimler Trucks Innovation Center (Mercedes-Benz R&D) — Bengaluru, India

Designed an ML-driven Python application that finds important safety flaws in vehicles 90% quicker than with humans; employed a user-friendly, reusable package of unsupervised clustering methods on multi-variate time series data from Trucks, enabling early failure identification and avoiding expensive recalls.
Uncovered deeper system features and performance insights by using limited data and domain expertise to close the knowledge gap between analytics and research, offering data-driven solutions through advanced analytics—Affinity analysis, statistical methods, machine learning algorithms, and data mining techniques.

Machine Learning Engineer May 2020 – Nov 2020

Upwork — Freelance, Remote

Analyzed data from retailers across 6 countries and increased book sales by 4.2% by forecasting sales using an ensemble of models with Keras; translated business problems into data science solutions for strategic decision-making and AI initiatives.

05. Education

M.Tech – Controls & Automation

Vellore Institute of Technology (VIT) University – Vellore, India

Specialization: Machine Learning, Advanced Statistical Analysis
Thesis: Applications of Reinforcement Learning for Predictive Maintenance, Collaborative Robotics & Quantum Machine Learning for Telecom applications.
Graduated: April 2020

GPA: 8.5 / 10.0

B.Tech – Electronics & Instrumentation Engineering

Bapatla Engineering College – A.P, India

Specialization: Industrial Sensors & Instrumentation
Graduated: April 2018

GPA: 7.64 / 10

06. Certifications & Achievements

Azure Data Scientist Associate

Microsoft Certified

Azure Fundamentals