Professional Summary
Data and AI professional with an M. Sc. in Data Science and Artificial Intelligence and more than three years of practical experience across data engineering, machine learning, analytics, research, and software projects. Strong hands-on experience with Python, SQL, ETL/ELT, data quality, REST APIs, machine learning, NLP, and time-series data. Experienced in building reliable data workflows, preparing analytics-ready datasets, developing and evaluating ML models, and translating technical requirements into practical solutions. Comfortable working independently as well as with international and cross-functional teams.
Technical Skills
Data Engineering & Analytics:
Machine Learning & AI:
Workflows, APIs & Cloud:
Development & DevOps:
Projects
BI Platform Data Pipeline - Python, SQL, PostgreSQL, dbt, Airflow, Docker
Developed an end-to-end pipeline to extract and load raw data into PostgreSQL, transform it using dbt SQL models, and orchestrate the workflow with Apache Airflow DAGs. Implemented basic data-quality checks and prepared analytics-ready tables for BI reporting.
Sentiment Classification with Word Embeddings and Transfer Learning - PyTorch, NLTK, LSTM
Developed and trained an LSTM-based classification model using Skip-Gram word embeddings for Hindi and Bengali datasets. Applied transfer learning to improve cross-language classification and evaluated model performance.
IoT Sensor Analytics Dashboard - Power BI, Python, SQL
Cleaned and transformed IoT time-series data covering environmental and energy indicators. Created KPI measures and dashboards to visualise trends, anomalies, and data-quality metrics.
Professional Summary
Data and AI professional with an M. Sc. in Data Science and Artificial Intelligence and more than three years of practical experience across data engineering, machine learning, analytics, research, and software projects. Strong hands-on experience with Python, SQL, ETL/ELT, data quality, REST APIs, machine learning, NLP, and time-series data. Experienced in building reliable data workflows, preparing analytics-ready datasets, developing and evaluating ML models, and translating technical requirements into practical solutions. Comfortable working independently as well as with international and cross-functional teams.
Technical Skills
Data Engineering & Analytics:
Machine Learning & AI:
Workflows, APIs & Cloud:
Development & DevOps:
Projects
BI Platform Data Pipeline - Python, SQL, PostgreSQL, dbt, Airflow, Docker
Developed an end-to-end pipeline to extract and load raw data into PostgreSQL, transform it using dbt SQL models, and orchestrate the workflow with Apache Airflow DAGs. Implemented basic data-quality checks and prepared analytics-ready tables for BI reporting.
Sentiment Classification with Word Embeddings and Transfer Learning - PyTorch, NLTK, LSTM
Developed and trained an LSTM-based classification model using Skip-Gram word embeddings for Hindi and Bengali datasets. Applied transfer learning to improve cross-language classification and evaluated model performance.
IoT Sensor Analytics Dashboard - Power BI, Python, SQL
Cleaned and transformed IoT time-series data covering environmental and energy indicators. Created KPI measures and dashboards to visualise trends, anomalies, and data-quality metrics.