Ansh Rathod — Product Manager
🔷 AI Data Engineer & Business Intelligence Analyst with experience building data pipelines, analytics platforms, and dashboards that drive real business outcomes. MS in Information Systems from Northeastern University | B.Tech Computer Science from VNIT Nagpur. I specialize in the full data lifecycle from engineering robust ETL pipelines to delivering executive-level BI insights — across industries including healthcare, finance, and tech. Baxter International I Engineered ETL pipelines on Azure Data Factory processing 10M+ row datasets, cut SQL query execution time by 50% through advanced optimization, and built Tableau dashboards that improved executive KPI tracking by 30%. Delivered end-to-end Agile project workflows in Jira across cross-functional teams. My Toolkit: 🔹 Programming Languages: Python, R, SQL, MATLAB, JavaScript, Java, HTML/CSS, C 🔹 Database & Cloud Tools: MySQL, AWS (S3, EC2, Bedrock, Glue), MS Azure, Git, React, Docker, GCP, Pinecone, Apache Spark, Hadoop, Streamlit, Redshift, Snowflake, Talend, Alteryx, NoSQL, Power Query, Power Automate, Azure Data Factory 🔹 Deep Learning: NLP Models, LangChain, OpenAI, PyTorch, TensorFlow, scikit-learn, Hugging Face, Pandas, Keras 🔹 Tools & Technologies: Excel (VBA, VLOOKUP), Tableau, Power BI, Oracle SQL, MongoDB, Google Analytics, Adobe Analytics, t-test, Alteryx, Shiny, Streamlit, DBT, Data Warehousing, Data Mining, PowerPoint, MS Office, Looker 🔹 AI & Generative AI: LangChain, OpenAI API, Claude (Anthropic), Hugging Face, Retrieval-Augmented Generation (RAG), LLM Fine-Tuning, Prompt Engineering, AI Agents, Vector Databases (Pinecone), AWS Bedrock, Multimodal AI Open to full-time roles in AI Engineering, Data Engineering, Business Intelligence, or Data Analytics — and fully open to relocation anywhere in the US. 📩 Let's connect or reach me at rathod.ans@northeastern.edu
Stackforce AI infers this person is a Data Engineering and Business Intelligence expert in Healthcare and Finance sectors.
Location: Boston, Massachusetts, United States
Experience: 1 yr
Skills
- Data Engineering
- Business Intelligence
- Data Analysis
- Software Engineering
Career Highlights
- Engineered ETL pipelines processing 10M+ rows.
- Cut SQL query execution time by 50%.
- Built dashboards improving KPI tracking by 30%.
Work Experience
Baxter International Inc.
Analytics Engineer (7 mos)
Northeastern University
Data Analyst (5 mos)
iSoftwareFactory Services LLP
Software Engineer (1 yr 1 mo)
EY
Data Science/Business Analytics (5 mos)
Visvesvaraya National Institute of Technology
Research Internship (2 mos)
Education
Master of Science - MS at Northeastern University
Bachelor of Technology - BTech at Visvesvaraya National Institute of Technology
