Available to hire
I am a data analytics professional with 3+ years of experience delivering high-quality data analysis, visualisation, and data pipeline development across professional-services environments.
I am skilled in SQL, Python, Power BI, Databricks, and Snowflake, with a proven track record of analysing large datasets to uncover insights, detect irregularities, and support evidence-based decision-making. I have experience managing multiple projects simultaneously, collaborating with stakeholders, and communicating analytical findings clearly.
Skills
Language
English
Fluent
Work Experience
Intern at Data Consulting
February 1, 2025 - February 1, 2025Developed engaging data visualizations and heatmaps, significantly improving stakeholder understanding of complex data trends and influencing strategic initiatives. Contributed to hypothesis testing and the development of gradient boosting models using Python, driving data-driven approaches that enhanced predictive accuracy.
Data Engineer at Nielsen IQ, Chennai
July 1, 2023 - July 1, 2023Led the Pricing & Insights module, which provided the appropriate price value fixations for the products to increase sales and profit without imposing more price value on the customers. Integrated SQL Workbench for data extraction, transformation, and loading (ETL) processes. SPOC for the clients to troubleshoot ad hoc & day-to-day issues through the Microsoft Azure and Databricks platform whenever irregularities in data were identified. Utilized Apache Airflow for scheduling complex data workflows, ensuring efficient and timely execution. Developed and maintained Directed Acyclic Graphs (DAGs) to represent and manage data pipelines within the Airflow framework. Utilized Snowflake user interfaces for efficient data delivery, ensuring data quality and integrity.
Data Analytics Engineer at Tata Consultancy Services, Kochi
September 1, 2022 - September 1, 2022Managed Extraction, Transformation and Loading (ETL) module for seamless retail data transaction and processing. Managed weekly retail data cleaning, pre-processing and loading into the on-premise platform and later into cloud platforms. Processed data using SQL and worked on the cleanup automation scripts which reduced processing time by 50%. Led the Assortments module, which was primarily focused on the product positioning in the retail & wholesale markets, thereby improving the sales of the products. Utilized Apache Hadoop-based solutions like MapReduce, Hive, Pig, and HBase for data retrieval and analysis to answer the client requests. Identified, analyzed and interpreted trends & patterns for sales based on different factors.
Education
Masters in Applied Data Science at University of Canterbury
July 1, 2023 - November 1, 2024BTech in Electronics and Communication at Amal Jyothi College of Engineering
August 1, 2016 - July 1, 2020Qualifications
Industry Experience
Software & Internet, Professional Services, Retail, Education, Media & Entertainment, Financial Services, Computers & Electronics
Skills
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