Available for opportunities
Varadkrishna Kamtikar
Data Scientist & Analytics Engineer. From enterprise mainframes to machine learning pipelines.

FocusReorders projects and highlights relevant skills MSc Data Science graduate from Technological University Dublin (2024–2026, Second Class Honours, First Division).
Former Application Development Analyst at Accenture in Pune, India (Jan 2022 – Jul 2024), promoted within the first year.
Passionate about machine learning, AI engineering, and turning data into decisions.
Education
- MSc Data Science
Technological University Dublin, Dublin, Ireland 2024–2026
Second Class Honours, First Division - B.Tech Computer Science
MGM's College of Engineering, Nanded, India 2017–2021
Jan 2022 — Mar 2023
Application Development Associate
Accenture · Pune, India First role
- Supported development and testing of mainframe applications at enterprise scale.
- Worked with DB2 databases for data retrieval, debugging and validation tasks.
- Assisted in application maintenance and performance optimisation across production systems.
Mar 2023 — Jul 2024
Application Development Analyst
Accenture · Pune, India Promoted
- Developed and maintained enterprise applications using COBOL, JCL and DB2 on mainframe infrastructure.
- Optimised SQL queries for data extraction and validation, improving data retrieval efficiency.
- Improved system performance by modifying legacy code and resolving critical production issues.
- Contributed across SDLC phases including development, testing, deployment and enhancement.
2024 — 2026
MSc Data Science
Technological University Dublin · Dublin, Ireland Second Class Honours, First Division
- Dissertation: AI-based EEG signal classification across 32 subjects (DEAP dataset).
- Applied machine learning, deep learning and analytics to real datasets.
2026 — +
Open to Data Science & Analytics roles
Next
- Looking for roles in data science, machine learning and analytics engineering.
FeaturedA leakage-free ML pipeline detecting reward-related neural patterns across 32 subjects (DEAP dataset).
- Python
- MNE-Python
- XGBoost
- Scikit-learn
- SMOTE
- Streamlit
Case study →GitHub ↗Live ↗
Real-time weather analytics with live ingestion pipelines, PostgreSQL, XGBoost rainfall forecasting, and dashboards.
- Python
- PostgreSQL
- XGBoost
- Streamlit
Case study →GitHub ↗Live ↗
A FastAPI service with a scikit-learn model for bank note authentication.
- Python
- FastAPI
- Scikit-learn
Case study →GitHub ↗
Classification with SMOTE, evaluated with precision and recall.
Case study →GitHub ↗
LSTM forecasting for NSE and BSE.
- Python
- LSTM
- TensorFlow
- Streamlit
Case study →GitHub ↗Live ↗
An interactive platform on Ireland's rental and property market using RTB and CSO data.
- Python
- Streamlit
- PostgreSQL
- Plotly
Case study →GitHub ↗Live ↗
A Tableau dashboard on Netflix catalogue patterns.
Case study →GitHub ↗
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Languages
ML & AI
Data Engineering
Databases
Visualisation
05Certifications & learning
- Microsoft Certified: Azure Fundamentals (AZ-900)Certified
- Google Data Analytics Professional CertificateIn progress
- Generative AI, LLMs & LangChainSelf-learning
- Docker & FastAPI for ML deploymentSelf-learning
Coming soonThe EEG pipeline
Coming soonNetflix insights
Coming soonFrom mainframe to ML
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