With over 2.3 years of hands-on experience in Data Analytics and Data Engineering, I am deeply committed to leveraging data-driven strategies to solve complex business challenges. My journey began with a solid academic foundation, earning a BCA and MCA from Chitkara University, where I also took on a leadership role as Media Head for the Computer Society of India. To further enhance my expertise, I am currently pursuing an MBA in Data Analytics from Manipal University through distance learning.
My professional career kicked off with an impactful stint at CerebrumX Labs Pvt Ltd, where I transitioned from an intern to an Associate Software Engineer. During my tenure, I collaborated closely with the Data Engineering and Data Science teams, working on building robust data pipelines and utilizing Kafka to ensure efficient data flow. My role involved processing raw data from AWS S3 sources and seamlessly transferring it to various EC2 instances using Python, enabling the Data Science team to generate meaningful insights.
Currently, I am a Data Analyst at WNS Global Services, where I am part of the Research and Analytics department, serving a leading US-based client. My role here is pivotal in delivering valuable insights and resolving diverse data challenges. I specialize in data ingestion, optimizing data insights, and effectively addressing discrepancies, all while maintaining strong client relationships and ensuring their data needs are met with precision and efficiency.
With a diverse skill set encompassing Python, PySpark, AWS, Microsoft Azure, Jira, BitBucket, Kafka, ELK stack, Pandas, Numpy, Matplotlib, Jupyter Notebook, Selenium, Power BI, Databricks, and MongoDB, I am well-equipped to tackle any data-related challenge. My goal is to dive even deeper into the field of Data, constantly seeking new opportunities to innovate and drive business success through data.
1 -: Manage end-to-end data processes, ensuring efficient ingestion and integration of campaign data across various pipelines.
2 -: Maintain data quality using Azure Data Factory, monitor Apache Airflow DAGs, and troubleshoot Databricks PySpark scripts, contributing to optimized ML models.
3 -: Build Power BI dashboards for non-endemic and endemic campaigns, providing actionable insights for strategic decision-making.
4 -: Write PySpark scripts to create and clean data for older campaigns, preventing storage overload and minimizing latency in data ingestion pipelines.
5 -: Lead a team to resolve data discrepancies, ensuring smooth operations and reliable outcomes.
6-: Provide technical and data science solutions to enhance personalized offers, driving increased sales and customer engagement.
7 -: Support a global data collaboration platform, adhering to high standards of consumer privacy, data ethics, and compliance.
Worked as Intern in Cerebrumx Labs Pvt Ltd where i worked on different technologies like MongoDB , Python , AWS , JIRA, BitBucket, Version Control.
Python
PySpark
AWS Cloud
Microsoft Azure
Kafka
Power BI
Data Engineering
Data
Data Visualization and Presentations
SQL
Machine Learning
Data Science