Data Analytics & AI Engineering

Srinathareddy
Suprathickreddy

3 years building production data pipelines, anomaly detection systems, and AI-powered analytics. M.S. Data Analytics (AI/ML) candidate at Clark University.

Get in touch LinkedIn ↗ GitHub ↗
AWS Certified Data Engineer Databricks Certified Worcester, MA Open to work

Capabilities

Technical Skills

Languages & Analysis
Core Programming
Python pandas NumPy scikit-learn SciPy matplotlib SQL R PySpark C++ Java
AI & LLM Tools
Modern AI Stack
Claude API LangChain LlamaIndex RAG Pipelines Prompt Engineering Hugging Face Langflow Groq API
ML & Modeling
Machine Learning
Regression Classification Clustering Anomaly Detection NLP CNNs / RNNs Transformers XGBoost TensorFlow PyTorch
Visualization & Reporting
BI & Dashboards
Power BI Tableau Plotly Seaborn Looker Studio Excel Streamlit Jupyter
Cloud & Engineering
Infrastructure
Azure Databricks Azure Data Factory Azure Synapse AWS SageMaker AWS S3 / Glue GCP BigQuery Delta Lake Apache Kafka Docker Kubernetes MLOps
Databases & Governance
Data Infrastructure
SQL Server PostgreSQL Oracle MySQL Query Optimization RBAC Governance Great Expectations Data Reconciliation

Work History

Experience

Infosys
Data Engineer
Dec 2021 – Dec 2023
Bengaluru, India
  • Built automated data validation pipelines in Python and SQL across 10M+ daily financial records, cutting manual QA effort by 35% and eliminating downstream reporting errors.
  • Trained an Isolation Forest anomaly detection model on Azure Databricks — flagging 1,200+ exceptions in Q1 with 91% precision.
  • Delivered Power BI dashboards adopted across 4 business units, replacing 6 static weekly reports and cutting executive reporting time from 3 days to same-day.
  • Engineered a Medallion Data Lake on Azure Databricks processing 2TB+ of unstructured data with 99.9% integrity via Great Expectations.
  • Optimized ETL throughput by 20% on Azure Data Factory with Delta Lake merge operations on incremental loads.
  • Set up Apache Kafka streaming monitors at sub-minute latency, catching 3 critical upstream feed failures before reaching production.
Turiya Softech
Data & Research Analyst Intern
May 2021 – Nov 2021
Vishakhapatnam, India
  • Queried and merged datasets from 3 B2B SaaS platforms, producing weekly research decks used directly in board-level product and investment decisions.
  • Built a Power BI KPI tracker monitoring product adoption across 5 industry verticals — the sales team's first real-time pipeline view.
  • Prototyped an AI-powered document extraction workflow in Python, cutting manual procurement research from 4 hours to under 30 minutes per report.
  • Documented RBAC access controls and governance policies for a client data warehouse rollout — project passed a third-party security audit on first review.

Background

Education & Certifications

Graduate Degree
M.S. Data Analytics
Clark University · Worcester, MA
AI/ML Concentration · Expected Dec 2026
Statistical Modeling · Machine Learning · Biostatistics · Data Mining · Scientific Visualization · Experimental Design
Undergraduate
B.S. Electrical & Electronics Engineering
Reva University · Bengaluru, India
Graduated July 2021
Professional Certifications
AWS Certified Data Engineer Amazon Web Services
Databricks Certified Data Engineer Databricks

Let's work together.

Open to full-time data engineering and AI/ML engineering roles.

suprathickreddys@gmail.com LinkedIn ↗ GitHub ↗ +1 (774) 525-4357