Hello, I'm

Dr. Raj Kumar

Power BI · Python · ML/AI · PhD (Materials) · Ex-DRDO

Applied AI/ML Engineer and Data Analyst with 14+ years of experience spanning defence research, analytics, and academia. Hands-on experience in LLM-based RAG systems, ML pipelines, and data-driven applications, with a strong focus on translating complex problems into deployable AI solutions.

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Power BI · Data Analyst

ML · LLMs · RAG

Ex-DRDO Researcher

Dr. Raj Kumar

Data Analyst & Applied AI/ML Professional

About Me

Data Analyst & Applied AI/ML Engineer

With a PhD in Metallurgical & Materials Engineering and 14+ years across defence research, engineering education, and industry analytics, I bring a multidisciplinary perspective to data-driven problem solving. Spent ~3 years as a Data Analyst delivering end-to-end Power BI solutions and ML-embedded analytics pipelines to business stakeholders. Currently teaching Python, ML, NLP, and Data Science at university level — bridging classroom and real-world AI applications.

Actively building advanced AI systems including LLM-powered RAG pipelines, agentic workflows, and time series forecasting models. Seeking to transition into an industry-facing Data Science or Analytics role where engineering domain knowledge combined with AI/ML and BI skills drives measurable impact.

Power BI & Analytics Python & ML LLMs & RAG AI/ML Teaching SQL & ETL

CurrentAsst. Professor, GD Goenka University

PhDMetallurgical & Materials Engg, PEC

LocationGurugram, India

IndustryData Analyst – MicroIT (2022–2024)

ResearchDRDO, Ministry of Defence (2018–2020)

GATEQualified – 86.86 Percentile

2.5Yrs Industry

5.5Yrs Teaching

2Yrs DRDO

4Yrs PhD

Power BI (DAX, RLS, Reports)95%

Statistical Analysis90%

Python (Pandas, Scikit-learn)80%

SQL75%

ML · DL · NLP · Time Series75%

LLMs · RAG · GenAI65%

Power BITableauPythonSQLPandasScikit-learnPytorchNLTKSpaCyLangChainHugging FaceOllamaLlamaIndexFAISSChromaDBGitDockerAdvanced Excel

LinkedIn Google Scholar

Career Timeline

Resume

Data Analyst & Applied AI/ML Professional with a PhD · 14+ years across industry, defence research & academia.

Download Full CV

Mar 2022 – Sep 2024 (~3 Years)

Data Analyst

MicroIT Technologies, Faridabad

Delivered end-to-end analytics projects aligned with business goals and stakeholder KPIs
Designed advanced Power BI solutions: optimised data models, DAX measures, Row-Level Security (RLS), and paginated reports
Applied ML techniques to build predictive models and embedded results into Power BI dashboards for forecasting
Integrated and transformed data from SQL Server, MySQL, Excel, SharePoint, Dataverse & Web APIs using Power Query

Jul 2018 – Jul 2020 (2 Years)

Research Associate

TBRL, DRDO – Ministry of Defence, Chandigarh

Automated data processing, statistical analysis & visualisation workflows using MATLAB and Advanced Excel on large experimental datasets
Managed calibration & operation of Split Hopkinson Pressure Bar (SHPB) — high-precision defence instrumentation
Collaborated with ISRO, DRDO, BARC, IITs, and NITs on multidisciplinary research projects

Jan 2014 – Jul 2018

Research Scholar – PhD

Punjab Engineering College (PEC), Chandigarh

Experimental design, data collection & analytical modelling in metallurgical materials science
Published 3 SCI-indexed papers (2×Q1, 1×Q3); cumulative IF >10

Sep 2024 – Present

Assistant Professor – Mechanical Engg & AI/ML/Data Science

G.D. Goenka University, Gurugram (NAAC A+)

Teach Python, Machine Learning, NLP, SQL, and Data Science to B.Tech and MCA students
Course Coordinator for AutoCAD — School of Engineering & Sciences
Integrate AI/ML concepts with engineering applications for multidisciplinary outcomes

Dec 2020 – Mar 2022

Assistant Professor – Mechanical Engineering

Maharishi Markandeshwar University, Mullana, Ambala (NAAC A++)

Taught Python Programming, Machine Learning, NLP, and AutoCAD to B.Tech, BCA/MCA students
Conducted practical demonstrations in coding, data analysis, and project work

Jan 2018 – Jul 2018

Assistant Professor (Guest Faculty)

Punjab Engineering College (PEC), Chandigarh

Taught Design of Experiments (DOE) and Research Methodology to M.Tech and PhD students
Covered analytical/statistical tools and experimental design concepts

Feb 2009 – Jul 2011

Assistant Professor – Mechanical Engineering

Maharishi Markandeshwar University, Mullana, Ambala (NAAC A++)

Taught Strength of Materials, Engineering Mechanics, Theory of Machines, Manufacturing Process, Engineering Drawing

Jan 2014 – Jul 2020

Doctor of Philosophy (PhD)

Metallurgical & Materials Engineering

Punjab Engineering College (PEC), Chandigarh

CGPA: 8.0/10 MHRD Scholar

Aug 2011 – Jul 2013

Master of Engineering (ME)

Industrial Materials & Metallurgy

PEC University of Technology, Chandigarh

CGPA: 6.25/10 MHRD Scholar

Aug 2004 – Jul 2008

B.Tech – Mechanical Engineering

Mechanical Engineering

HEC, Kurukshetra University

62.5% GATE 86.86 Pctile

My Work

Projects

Featured AI Project

Python · LangChain · Ollama · FAISS · ChromaDB

Enterprise Retrieval-Augmented Generation (RAG) System

Designed a multi-agent RAG architecture integrating hybrid vector search and LLM-based reasoning. Improved answer relevance using semantic retrieval and embedding optimisation. Reduced hallucination through context-aware retrieval and prompt engineering. Running fully CPU-only on local Ollama models — no cloud dependency.

View on GitHub

Applied ML Project

Python · Pandas · Scikit-learn · Time Series

Time Series Forecasting – Electricity Demand Prediction

Built an end-to-end time series forecasting pipeline for hourly electricity demand, from data ingestion to model evaluation. Performed trend, seasonality, stationarity, and autocorrelation analysis. Benchmarked multiple models using MAE, RMSE, MAPE, and SMAPE, delivering interpretable forecasts for capacity planning.

View on GitHub

Power BI

IPL Performance Dashboard

Analyzes IPL team performances, player stats, and match outcomes for strategic business insights.

View on GitHub

Power BI

Credit Card Transactions

Dynamic dashboard with real-time, weekly credit card analytics — DAX measures and RLS applied.

View on GitHub

Power BI

Human Resources Analysis

Workforce KPIs and HR metrics enabling data-driven people management decisions.

View on GitHub

Power BI

Google Play Store Analysis

Market trend dashboard identifying app category insights from Play Store dataset.

View on GitHub

Power BI

Procurement Spend Analysis

Cost-saving opportunity identification via spend pattern analytics and supplier insights.

View on GitHub

Power BI

IT Help Desk Ticket Analysis

Help desk KPI dashboard measuring resolution time, SLA compliance, and CSAT scores.

View on GitHub

All Projects on GitHub

Research

Research Publications

Cumulative Impact Factor: 12.2 · Peer Reviewer: Springer Journals

Journal of Alloys and Compounds

Aging induced structural and electrochemical corrosion behavior of Sn-1.0Ag-0.5Cu and Sn-3.8Ag-0.7Cu solder alloys

Rajkumar Kaushik, Uma Batra, J.D. Sharma · Vol. 745, 2018, pp. 446–454

SCI Q1 IF: 6.3

Read Paper

Metals and Materials International

Structural, Thermal and Wetting Characteristics of Novel Low Bi-Low Ag Containing Sn-xAg-0.7Cu-1.0Bi Alloys for Electronic Application

Rajkumar Kaushik, Uma Batra, J.D. Sharma · 2020

SCIE Q1 IF: 4.0

Read Paper

Transactions on Electrical and Electronic Materials

Electrochemical Corrosion behavior of Sn-1.0Ag-0.5Cu and Sn-3.8Ag-0.7Cu lead-free solder alloys during storage and transportation under chloride working condition

Rajkumar Kaushik, Uma Batra, J.D. Sharma · 2021

ESCI IF: 1.9

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Blogs

Medium Blog

Database Management – A Practical Overview

An introductory guide to database concepts and management strategies for practitioners.

Read on Medium

Dr. Raj Kumar

Data Analyst & Applied AI/ML Engineer

Resume

Projects

Certifications

Research Publications

Contact Me