Tajamul Khan

01 / About

Human judgment.
Engineered intelligence.

A senior data and AI practitioner who connects rigorous engineering with the context, clarity and accountability real decisions require.

Tajamul brings 7+ years of experience across data science, analytics, machine learning, and generative AI, supported by advanced engineering and data science education.

His work spans enterprise analytics, intelligent automation, segmentation, forecasting, natural language systems, MLOps, and decision support. Experience with Google, Amazon, Eastman, and Stolt-Nielsen informs an approach grounded in practical delivery, stakeholder trust, and measurable outcomes.

Current focus: AI, Data Science & Advanced Analytics
Domains: Shipping, retail, e-commerce, healthcare, HR & marketing
Location: Hyderabad, India
Core stack: Python, SQL, PySpark, Azure, Fabric, Power BI & Tableau

Delivery system

From ambiguity to production.

Every solution moves through a disciplined path that keeps business value, technical quality and adoption connected.

01
FrameDecision and value
02
EngineerData and models
03
ValidateQuality and trust
04
DeployAdoption and impact

$27MRevenue impact

$5MQuarterly savings

130K+LinkedIn community

100K+Instagram community

2xTimes Square featured

Generative AI & LLMs

RAG systems
Agentic AI
Multi-agent systems
Prompt engineering
LLM evaluation
LLM fine-tuning
Embeddings
Semantic search

Machine Learning & Statistics

Supervised learning
Unsupervised learning
Deep learning
NLP
Time series forecasting
Statistical analysis
Feature engineering
Model evaluation

AI & ML Frameworks

LangChain
LlamaIndex
CrewAI
Hugging Face Transformers
PyTorch
Scikit-learn
Pandas
NumPy

MLOps & Deployment

MLflow
Azure Machine Learning
CI/CD
Docker
FastAPI
Streamlit
Dash
Model monitoring

Cloud & Data Platforms

Azure OpenAI
Azure AI Search
Azure AI Services
Databricks
AWS SageMaker
Microsoft Fabric
Vector databases
Data pipelines

Programming & Data

Python
SQL
PySpark
R
Git
Structured data extraction
Data preprocessing
Exploratory analysis

Business Intelligence

Power BI
Tableau
DAX
Dashboard engineering
Data storytelling
Executive reporting
Decision support
Analytics automation

Retrieval & Evaluation

Hybrid search
HNSW
Semantic Ranker
RAGAS
Hit Rate
MRR
Answer relevancy
Faithfulness

Leadership & Delivery

Technical leadership
Stakeholder management
Cross-functional delivery
Technical training
AI adoption
Solution design
Business impact
Mentoring

02 / Experience

A career built around applied intelligence.

Enterprise experience and formal education, connected by a consistent focus on data-driven products and practical AI.

Professional Experience

2026 - PresentHyderabad

Senior Data Scientist

Stolt-Nielsen

Building AI and data products for maritime and logistics workflows, with an emphasis on automation, traceability and decision support.

2023 - 2026Hyderabad

Advanced Data Scientist

Eastman

Delivered analytics and AI initiatives spanning sentiment analysis, segmentation, generative AI, MLOps, sales, pricing, forecasting, HR and supply chain.

2019 - 2023Hyderabad

Senior Data Executive - Data Scientist

Google

Applied analytics, automation and machine learning to operational data, reporting, quality and decision-support workflows.

2018 - 2019Hyderabad

Data Specialist

Amazon

Executed exploratory analysis, data preprocessing, quality workflows and automated reporting using Python, SQL, Power BI and Excel.

Academic Foundation

2022 - 2023

Post Graduate Program

MIT

Data Science and Machine Learning.

2017 - 2019

Master of Engineering

Kurukshetra University

Mathematics and engineering.

2014 - 2017

Bachelor of Technology

Kurukshetra University

Undergraduate degree.

2013

Diploma in Computer Applications

NIELIT

Computer science foundations.

03 / Selected work

Projects that move from concept to application.

Curated repositories and visual portfolios covering applied AI, machine learning, statistics, forecasting, NLP, and business intelligence.

Featured · Generative AI

Generative AI Projects

Applied LLM systems, fine-tuning, multimodal AI, and practical use cases built to demonstrate modern AI engineering.

Featured · Machine Learning

Machine Learning Projects

End-to-end supervised and unsupervised learning workflows, from preprocessing and evaluation to clear implementation.

Deep Learning

Deep Learning Projects

Practical neural-network implementations across modern deep-learning workflows and real-world datasets.

Statistics

Statistical Analysis

Hypothesis testing, data exploration, and decision-ready insight developed through rigorous statistical workflows.

Forecasting

Time Series Analysis

Forecasting projects that model trend, seasonality, and future behavior with statistical and deep-learning methods.

Natural Language Processing

NLP Projects

Text processing, embeddings, classification, and language understanding for applied NLP problems.

Data Analysis

Exploratory Data Analysis

Structured investigations that clean messy data, reveal patterns, and turn raw datasets into clear stories.

Preview of Tajamul Khan's Power BI dashboard portfolio

Business Intelligence

Power BI Dashboards

Interactive business dashboards designed to make complex information clear, usable, and decision-ready.

04 / Credentials

Validated across AI, analytics, and data platforms.

Professional credentials across Databricks, Microsoft, MIT and Google.

Credential portfolio

Certified across the modern AI and data stack.

Databricks Generative AI Engineer, Microsoft Azure AI Engineer, Fabric Data Engineer, Fabric Analytics Engineer, Power BI Data Analyst, MIT Machine Learning Engineer and Google Data Analytics Professional.

Databricks GenAI Certified Azure AI Engineer Top 1% Global DS Mentor 10K+ Mentorship Sessions