As a Data Engineer at BIX Tech, I:- Designed, built, and maintained scalable data pipelines using Apache Airflow, Composer, and DBT for ETL/ELT processes across Azure, GCP, and AWS.- Optimized data processing scripts using Apache Spark and Databricks, reducing processing time by 40% and improving scalability.- Collaborated with cross-functional teams (data engineers, analytics engineers, software engineers, product owners) to translate business data requirements into technical solutions.- Implemented data quality checks, error handling, and monitoring solutions, ensuring the integrity and reliability of high-volume data pipelines.- Ensured data security and compliance with industry standards through encryption and security best practices in cloud data architectures.

As a Data Scientist in the Design Assurance area of the Automotive industry, I:- Performed web scraping and automated tasks using Selenium and Beautiful Soup;- Analyzed customer behavior using data mining techniques;- Conducted sentiment analysis and summarization with NLP;- Built data pipelines using Python;- Created dashboards for data visualization using Qlik Sense and Power BI.

As a Business Intelligence intern in an AgroTech startup, my main tasks involved:- Perform database queries and ingest data in batch and real-time using PostgreSQL, BigQuery and APIs;- Enable and monitor fast, efficient, and scalable access to cloud-based data analysis solutions for different teams and individuals across the organization using BigQuery and Power BI Online;- Create and maintain multiple dashboards and reports for various areas of the company, including HR, Finance, CRM, Market, Quotation, and more, using Figma and Power BI;- Identify and determine metrics and KPIs relevant to the business;- Analyze data to generate insights and actionable recommendations using statistical analysis;

As a Data Analytics intern in the Television industry, my primary role was to:- Create and maintain data pipelines and dashboards using Python and Power BI;- Automate processes and extract data from websites using Selenium, PyAutoGUI, and Beautiful Soup;- Extract, transform, and pre-process data using Python and Jupyter Notebook;- Improved the user conversation flow with the company chatbot to increase user retention by over 300%.