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Data Scientist · ML Engineer · Chennai

Turning data into insight,
insight into action

Vikram Nair — I build machine learning systems that solve real problems. From predictive models to production ML pipelines, I bridge data and decisions.

Explore Work Get in Touch
94.2%
Model Accuracy
1.2M
Predictions/Day
5+
Years Exp.
12
ML Projects
Vikram Nair
// 01 — About
Who I Am

I'm Vikram Nair, a Data Scientist and ML Engineer from Chennai with 5+ years building machine learning systems for real-world problems in fintech, retail, and NLP.

Currently at DataMinds AI building production ML pipelines on AWS SageMaker. I specialize in turning messy data into reliable, explainable ML systems that business teams actually trust.

Also an active blogger — writing about ML engineering, LLMs, and making data science accessible. Beach walks + filter coffee keep me going. ☕

// Personal Details
👤Vikram Suresh Nair
📍Anna Nagar, Chennai, Tamil Nadu 600040
📞+91 87654 30921
📧vikram.nair.ds@gmail.com
🎂Born 15 August 1997 · Age 27
🗣️Malayalam, Tamil, Hindi, English
🕐Available for consulting & full-time
🧠
ML Systems Builder
End-to-end ML pipelines — data collection → training → deployment → monitoring → retraining.
🔍
SHAP Explainability
Making black-box models explainable for business stakeholders and regulatory compliance.
💬
NLP & LLMs
Fine-tuning LLMs, RAG systems, and NLP classifiers for production customer-facing products.
📊
Analytics Dashboard Dev
Building React + Next.js data dashboards that make complex ML outputs accessible to non-technical teams.
// 02 — Skills
Technical Skills
ML & AI
Python & ML Libraries96%
Deep Learning (TF/PyTorch)88%
NLP & LLMs84%
Computer Vision75%
Data & Engineering
SQL & Analytics92%
React + Next.js (Dashboards)80%
AWS / MLOps / SageMaker82%
Data Visualization90%
// 03 — Research
Selected Projects
📈 94.2% Accuracy
01 / FEATURED
Credit Risk Prediction Engine
End-to-end ML pipeline for predicting loan default risk. Custom ensemble model (XGBoost + LightGBM) with SHAP explainability, real-time inference API, and monitoring dashboard. Deployed on AWS SageMaker — 50k predictions/day.
PythonXGBoostFastAPISageMakerReact
🚀 3x Faster Support
02
NLP Customer Support Bot
Fine-tuned LLM for automated customer support — classification and response generation. Integrated with Zendesk, reducing average resolution time from 48hrs to 16hrs.
HuggingFaceLangChainNext.jsPinecone
💰 ₹1.2Cr Revenue Impact
03
Demand Forecasting System
Time-series demand forecasting for retail chain with 200+ SKUs. LSTM + Prophet hybrid model with automated retraining every 2 weeks and real-time Tableau dashboard.
TensorFlowProphetAirflowTableau
// 04 — Writing
Data Science Blog
MAR 2026
Why SHAP is Essential for Production ML Models
Explainability isn't optional when your model makes financial decisions. Here's how I use SHAP in production...
Read article →
FEB 2026
Building a Real-Time ML Pipeline on AWS SageMaker
Step-by-step guide to deploying, monitoring, and retraining ML models with zero downtime...
Read article →
JAN 2026
LLM Fine-tuning on a Budget: What Actually Works
You don't need 8 A100 GPUs. Here's how I fine-tuned a 7B model for customer support on a single V100...
Read article →
// 05 — Career
Work Experience
Apr 2023 — Present
Senior Data Scientist
DataMinds AI · Anna Nagar, Chennai
Building production ML systems for fintech clients. Leading team of 3 data scientists. Delivered credit risk model now processing 50k predictions/day on SageMaker.
PythonAWS SageMakerXGBoostFastAPI
Jun 2021 — Mar 2023
Data Scientist
RetailIQ Analytics · Bangalore (Remote)
Built demand forecasting and customer churn models for retail clients. Designed Tableau dashboards and automated weekly reporting pipelines with Airflow.
TensorFlowAirflowSQLTableau
Jan 2020 — May 2021
Data Analyst Intern → Junior Analyst
InsightCo · Chennai
Data cleaning, EDA, and business reporting for e-commerce clients. First exposure to machine learning models and A/B testing frameworks.
PythonPandasSQLExcel
// 06 — Education
Qualifications
2015 — 2019
B.Tech — Computer Science & Engg.
NIT Trichy, Tamil Nadu
CGPA: 8.9 / 10 · First Class Distinction
2013 — 2015
Class XII — Science (PCM + CS)
Kendriya Vidyalaya, Chennai
Score: 95.6% · School Rank 1
2024
AWS Certified ML Specialty
Amazon Web Services
Score: 912/1000 · Valid till 2027
2023
Deep Learning Specialization
Coursera — Andrew Ng / DeepLearning.AI
Grade: Distinction · 5-course series
// 07 — Contact
Let's work together

Looking for a data scientist to build your ML product? Available for consulting and full-time roles.

📧
Email
vikram.nair.ds@gmail.com
 📞
Phone
+91 87654 30921
📍
Location
Anna Nagar, Chennai
🕐
Available
Remote & Hybrid roles