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Data Analyst with over 3 years of experience in transforming complex datasets into actionable insights. Proficient in data analysis, statistical modelling, and data visualisation using tools such as Python, S, QLB, and Power IV.

Adept at identifying trends, anomalies, and opportunities within data to drive informed business decisions. Strong communicator and team player with a track record of collaborating with cross-functional teams to deliver data-driven solutions.

Proven ability to translate technical findings into non-technical, actionable recommendations. Seeking to leverage analytical expertise to contribute to data-driven success.


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2019 - 2021 Master of Computer Science at University of Texas, Arlington
2013 - 2017 Bachelor of Computer Science at AKTU


Jun 2023 — Present Data Analyst at NSW Health, Sydney

● Collaborated with clients and users to ascertain requirements and crafted standardised business process templates for the Clinical Systems Group.
● Orchestrated regular meetings involving clinicians, administrators, and IT teams to ensure transparent communication regarding project objectives, progress, and timelines, thereby fostering collaboration and sustaining alignment.
● Extracted and meticulously documented requirements from stakeholders to shape a Minimum Viable Product (MVP) and executed comprehensive User Acceptance Testing (UAT).
● Created a comprehensive system workflow, encompassing both the current and future states, utilising BPMN 2.0 and relevant UML Use Cases within MS Visio.
● Engaged in whiteboarding sessions and produced low and high-fidelity wireframes, prototypes, mockups, material design elements, and iconography.
● Designed and implemented efficient record-keeping procedures.
● Prepared accurate reports highlighting the latest trends in customer service, billing, and cost evaluation.
● Conducted thorough research and assessed data from diverse sources to pinpoint discrepancies and recognise emerging patterns.

Aug 2022 - Jun 2023 Data Analyst at University of Texas, Texas

● Leveraged data engineering techniques to process and analyse sensor data for spatial gait analysis, utilizing Python and relevant data processing libraries.
● Developed data pipelines to handle large volumes of sensor data, applying ETL operations and implementing noise removal techniques.
● Collaborated with researchers and data scientists to design and implement data models, enabling accurate analysis and identification of disease patterns.
● Conducted time series analysis on sensor data, extracting valuable insights and contributing to research findings.
● Utilized advanced data visualization tools like Tableau and Power BI to present research findings and facilitate data-driven decision-making.
● Worked closely with cross-functional teams to ensure the seamless integration of data engineering solutions with research projects.

Nov 2021 - Jul 2022 Data Analyst at Wonderbotz, New Jersey

● Collaborated with cross-functional teams to design and implement data processing pipelines using PySpark and Apache Spark, ensuring efficient extraction, transformation, and loading of data.
● Developed functional design solutions aligned with business strategies, leveraging Python and relevant data engineering tools to meet customer requirements.
● Implemented automated data ingestion and processing solutions, increasing operational efficiency by 40%.
● Conducted data quality assessments and implemented data cleansing techniques to improve data accuracy and reliability.

Nov 2017 - Jul 2019 Data Analyst at Airbus, India

● Developed and managed scalable and robust data processing pipelines using Apache Spark and Java, enabling efficient handling of extensive aviation data volumes.
● Designed and executed data architectures tailored for aerospace systems, ensuring the utmost reliability, availability, and data integrity.
● Collaborated closely with stakeholders to elicit and document requirements, orchestrating data integration strategies that leveraged cutting-edge technologies such as RESTful APIs and microservices.
● Facilitated seamless communication and data flow among diverse systems by implementing integration solutions, fostering collaboration across teams.
● Spearheaded initiatives to safeguard sensitive data assets, bolstering data security and regulatory compliance.
● Embraced Scrum methodologies to lead cross-functional teams, consistently delivering high-quality software solutions on time and within scope.