Go from statistics to production data science — building models, causal analyses and GenAI-powered analytics that deploy to the cloud. This Hyderabad paid internship is project-based and mentor-led, with AI, cyber security and cloud built into the track as mandatory parallel modules.
What You'll Build
- A/B testing analysis dashboard (Python + Plotly + Streamlit)
- Customer-lifetime-value model with causal analysis (FastAPI)
- NLP analytics platform (BERT + BERTopic + BigQuery)
- AI-powered data analyst (NL2SQL + RAG + GPT-4o Vision)
- Scalable ML pipeline (PySpark + Airflow + MLflow + SageMaker)
Every project is deployed to AWS, Azure or GCP with a real URL and lives on your GitHub.
Curriculum
Statistics & Python
Distributions, hypothesis testing, A/B testing, regression and classification with scikit-learn.
Advanced ML & Causal Inference
XGBoost/LightGBM/CatBoost, SHAP, diff-in-diff, propensity matching, time series.
NLP & Deep Learning
PyTorch, BERT fine-tuning, BERTopic, aspect-based sentiment analysis.
GenAI for Data Science
LangChain SQL agent, NL2SQL, RAGAS evaluation, multimodal RAG.
Data Science at Scale
PySpark, Airflow, dbt, BigQuery ML, MLflow, plus Tableau/Power BI.
Throughout, you also do daily DSA (100+ problems), system design, mock interviews, and resume/LinkedIn preparation.
Internship Fee Structure
- Standard (day scholar): Rs.6,000/month while training + Rs.80,000 after a confirmed job offer.
- Residential (live-in): Rs.11,000/month while training (accommodation + meals included) + Rs.80,000 after a job offer.
The Rs.80,000 success fee is due only after a confirmed job offer letter. There is no time limit on support — Cloud Soft supports you until you are placed (we say support until placed, not "guaranteed placement").
Placement Outcomes
Roles: Data Scientist · ML Engineer · Analytics Engineer · Product Analyst · NLP Engineer.
Typical placement salary: Rs.6–22 LPA.
Get Started
Call or WhatsApp 9666019191 for a free 30-minute assessment. See the full internship program, the residential option, and our AI & ML internship guide.
