Aishwarya
Belekar

Exploring Data Realms: Unveiling My Data Odyssey

Step into my data-driven universe! Embarking on a journey fueled by curiosity and innovation, I am a fervent data professional currently pursuing a Master's degree at Arizona State University. My expertise spans data engineering, analytics, and machine learning, where I harness cloud technologies to choreograph seamless ETL processes. Proficient in Python and cutting-edge libraries, I excel in crafting database schema models and configuring robust backends. With a proven track record in project management and navigating the intricacies of big data technologies, I am dedicated to maintaining elevated standards in data engineering practices. Delve into my portfolio to explore firsthand experiences and uncover the transformative projects that shape my data narrative.

Skills

Armed with a versatile skill set spanning Data Engineering, Analytics, and Data Science, I am well-prepared to unravel intricate data challenges and propel data-centric solutions. Mastery in Python, Tableau, SQL, and AWS equips me for tasks ranging from data manipulation and statistical analysis to constructing scalable data pipelines. Beyond these, my proficiency extends to Machine Learning algorithms, NLP, and Data Visualization, enabling me to unearth valuable insights and weave compelling data-driven narratives. Having thrived in an Agile Scrum environment, my robust analytical reasoning, problem-solving, and project management skills position me to deliver impactful results and contribute significantly to the success of any data-driven endeavor.

Programming (Python, C++, C#, NodeJS, HTML)
Data Processing (Kafka, Scala, Spark)
SQL (SQL server, Postgres, MongoDB, DynamoDB)
AWS (GLUE, S3, Redshift, EC2, EFS, Lambda)
Azure (Blob storage, data factory, data lakes)
Big Data Technologies (Data bricks, PySpark, Apache)
Business Intelligence (SSMS, SSIS, SSRS, ETL)
Data Visualization (Tableau, Power BI, TIBCO Spotfire, Kibana, Power BI Report Builder)
Machine Learning (Classification models, Regression, Time Series, Predictive modeling)

Project 1
Robotic Process Automation

Having successfully navigated diverse Robotic Process Automation (RPA) projects, I encourage you to click the link and explore the transformative world of RPA. From automating routine tasks to enhancing operational efficiency, my experience in various RPA initiatives underscores the immense potential this technology holds. Click the link to discover the future of streamlined processes!

Project 2
Tableau

FIFA Dashboard - The football industry relies heavily on statistical analysis for player performance improvement, scouting, injury prevention, and overall team quality enhancement. This dashboard harnesses the power of data to help teams, fans, journalists, and sports analytics companies make informed decisions.