Experience

Feb 2022 - Feb 2023 Sr. Data Engineer at IBM US

– Implemented Apache Airflow and developed a proof of concept
(POC) for airflow pipeline setup to streamline claim file
processing.
– Created a Directed Acyclic Graph (DAG) with multiple tasks,
each responsible for specific validation logic within the
FCS Ingestion application.
– Leveraged Xcom for efficient data communication and sharing
between tasks within the airflow pipeline.
– Explored advanced airflow concepts such as task groups and
subDAGs to optimise workflow orchestration and management.
– Engineered clean and robust Python code for a balancer
module to ensure efficient processing and distribution of
workload.
– Maintained up-to-date records by consistently updating Jira
tickets, ensuring clear communication and project progress
tracking.
– Orchestrated the migration of Express Ordering application
to Azure cloud, optimising code structure and enhancing
performance.
– Partnered with cross-functional application teams to
resolve bugs, implement code changes, and manage Jira
tickets, ensuring streamlined operations and delivery.
– Demonstrated expertise in Python, Flask, Azure, Kubernetes,
Docker, and SQL, facilitating efficient migration and
integration processes.

March 2019 - Feb 2022 Data Scientist at IBM India

– Enhanced IT team productivity by integrating millions of
documents and tickets into Acharya AI-SME assistant tool.
– Aggregated and standardised critical data from multiple
AT&T systems for streamlined information retrieval.
– Consolidated requirement analysis data from various
applications, ensuring comprehensive project understanding.
– Significantly improved data quality for machine learning
model by removing stop-words and lemmatising tokens.
– Engineered advanced Sequence-to-Sequence deep learning
model with LSTM to bolster information retrieval accuracy.
– Elevated model performance by iterative training and
analysis, achieving a 30% increase in precision.
– Developed a comprehensive NLP pipeline enhancing query
understanding with techniques like TF-IDF and Cosine
similarity.
– Augmented search accuracy by implementing rule-based
filters, resulting in a 20% drop in irrelevant responses.
– Launched a Flask-based API for seamless integration of the
trained model with the Acharya end-to-end solution.
– Improved customer satisfaction by developing a feedback
loop with user feedback API using Cloudant DB.
– Utilised Scikit-learn, Spacy, Gensim, Pandas, Flask, Tika,
NLTK.

Oct 2017 - Nov 2018 Application Developer at IBM India

– Led the development of IMA-BPL, a critical C++ application,
enhancing telecom service requests processing.
– Conducted requirement analysis, improving the specificity
and relevance of telecom service development projects.
– Developed business and application logic for IMA-BPL,
streamlining voice and data service delivery.
– Accurately estimated efforts for change and work requests,
optimising project timelines.
– Prepared Low-Level Design (LLD) and interface
specifications, ensuring 25% reduction in development
errors.
– Automated routine tasks, increasing operational efficiency
by 15%.
– Executed user-based testing for telecom services,
documenting results to enhance product quality