About Me

Beyond my professional pursuits, I am passionate about leveraging data to solve real-world problems and drive innovation. My journey in data engineering began with a fascination for uncovering hidden patterns in data and building efficient systems to process and analyze it at scale. This led me to pursue advanced studies and a career in this dynamic field.

I thrive on challenges and am always eager to learn new techniques and technologies to stay at the forefront of the industry. My experience with tools like Apache Kafka, Airflow, AWS, and Azure has shown me the power of well-architected data solutions to drive operational efficiency and enable data-driven decision-making.

When I'm not immersed in data pipelines and MLOps workflows, I enjoy painting and trekking. These hobbies not only provide a creative outlet and a way to unwind but also inspire me to think outside the box and approach data challenges with a fresh perspective.

I believe in the power of collaboration and am always looking to connect with like-minded professionals and organizations that share my passion for data-driven excellence. Whether it's optimizing a complex data pipeline, implementing MLOps best practices, or tackling a challenging big data problem, I bring enthusiasm, creativity, and a commitment to delivering high-quality solutions.

Let's connect and explore how we can work together to unlock the full potential of data in your organization!

Professional Experience

Data Analyst

JerseyStem, New Jersey

Mar 2024 - Present

Developed data analytics solutions using SQL, Python, and Alteryx to drive business outcomes. Managed and automate data workflows, ensuring data quality and integrity through data validation and cleansing. Created impactful visualizations with Tableau and Google Data Studio to drive business outcomes and inform decision-making.

Operations Analyst/ Specialist (Transportation) - ATS

Amazon Inc., Hyderabad, India

Nov 2020 - Jul 2022

Leveraged data analytics to optimize middle mile logistics and reduce costs. Utilized Amazon Redshift and SQL for data analysis, conducted time-series analysis to improve resource utilization, and developed Python scripts for fraud detection.

Key achievements include:

  • Implemented data-driven strategies to enhance operational efficiency in package movement
  • Applied statistical analysis and predictive modeling techniques to forecast equipment flow
  • Developed and maintained data pipelines for real-time logistics analytics
  • Collaborated with cross-functional teams to identify and resolve root causes of operational inefficiencies
  • Contributed to cost optimization initiatives through data-backed insights and process improvements

Analyst Intern

National Instruments, Bangalore, India

Nov 2018 - Feb 2020

Analyzed sensor data from NI's data acquisition systems, identifying trends and patterns in signal processing and equipment maintenance. Created data visualizations using Tableau, providing insights that improved business decision-making for test and measurement equipment usage. Developed real-world applications using LabVIEW and worked closely with developers to analyze data and provide actionable insights.

Education

Masters in Data Science

SUNY Buffalo, New York

Sept 2022 - Jan 2024

  • Advanced coursework in statistical methods, predictive modeling, and machine learning algorithms
  • Gained expertise in data warehousing, data modeling, and cloud computing technologies
  • Developed proficiency in Python, Spark, PostgreSQL, and AWS for large-scale data processing
  • Completed projects involving real-world data analysis and visualization using Tableau and PowerBI
  • Explored both SQL and NoSQL databases for efficient data storage and retrieval

Bachelor of Technology

Major: Computer Science

SRKR Engineering College, India

Aug 2020 - Sept 2020

  • Worked with National Instruments as an Analyst, focusing on data analysis for predictive maintenance of IoT devices
  • Won 1st place for creating a clone of the college website, demonstrating web development skills
  • Selected as a finalist for Smart India Hackathon 2018, securing a place in the top 10
  • Developed a strong foundation in programming, data structures, and problem-solving