Hello World! I'm Barsha 👋

Hello there! I'm a data engineer with a passion for building data pipelines, visualizing data, and making sense of the digital chaos. When I'm not wrangling data or sipping coffee, you can find me daydreaming about optimized queries and data dashboards. I'm currently on the hunt for a new adventure, where I can bring my skills and humor to a team that's ready to change the world (or at least make it a more data-driven place). Let's connect and see if we can make some data magic happen!

What I do

DATA ENGINEER WHO LOVES EVERYTHING ABOUT DATA

  • sql

  • JavaScript

  • Power BI

    Power BI

  • python

  • PyTorch

    PyTorch

  • keras

    keras

  • TensorFlow

    TensorFlow

  • java

  • R

    R

⚡Design and develop scalable data pipelines for high-volume data ingetstion, processing and analytics

⚡ Optimize data processing and querying using distributed computing technologies like Hadoop and Spark

⚡ Implement data governance and quality control measures to ensure data accuracy and integrity

⚡ Develop ETL processes for seamless data migration and integration

⚡ Design and implement data visualization dashboards for insights and reporting

⚡ Work with large-scale datasets to perform data analysis and modeling

⚡ Implement machine learning models and algorithms for predictive analytics

⚡ Implement seamless data migration and management strategies

⚡ Ensure data security and compliance with industry standards and regulations

Proficiency

Data Visualization

Data Modeling and Prediction

Programming

Education

La Trobe University
La Trobe University

Melbourne, Australia

Masters of Data Science

February 2022 - November 2023

    Pokhara University
    Pokhara University

    Kathmandu, Nepal

    Bachelor of Engineering in Computer Engineering

    September 2015 - September 2019

      Experiences

      SPICAE
      SPICAE
      Data Analyst
      Nov 2023 – Nov 2024

      Teamed up with a high velocity consulting team alongside other engineers to deliver scalable software solutions.

      • Translated complex SQL queries into optimised DAX formulas, improving the accuracy and efficiency of KPI calculations across multiple time periods and business units.

      • Designed and deployed interactive, hierarchical dashboards in Power BI using data from various sources (SQL databases, CSVs), reducing manual reporting time.

      • Built and maintained robust data pipelines using SQL and Power Query, applying data engineering best practices to ensure data quality and reliability.

      • Performed statistical analysis and exploratory data analysis to identify trends, patterns, and anomalies that informed strategic business decisions.

      • Collaborated with cross-functional teams to understand data requirements and deliver scalable solutions that supported both analytics and business intelligence needs.

      Annecto
      Annecto
      Data Analyst Intern
      Mar 2023 – Jun 2023

      Collaborated with other interns and full-time engineers to add new features and develop PoC for future developments.

      • Developed and deployed a real-time data visualization dashboard using Power BI, ingesting data from Google Analytics, Facebook, Instagram, LinkedIn, and Twitter to monitor digital marketing performance and enable agile strategy adjustments.

      • Enhanced dashboard usability by implementing advanced filtering and segmentation capabilities, allowing stakeholders to analyze campaign effectiveness by target audience, channel, and demographic parameters.

      • Led end-to-end integration of digital marketing data with operational KPIs to measure customer acquisition and recruitment journey effectiveness, fostering data-driven decisions across cross-functional teams.

      Sirius Engineering Consultancy
      Sirius Engineering Consultancy
      Django Developer
      Dec 2020 – Jan 2022

      Contributed to a high-performing team of engineers, leveraging Agile and Scrum methodologies to develop a cutting-edge virtual classroom platform.

      • Collaborated in the development of a scalable virtual classroom platform using Django, enabling simultaneous interactions such as discussion forums, 1:1 chats, video uploads, expert reviews, and social engagement features across multiple active courses.

      • Built responsive, user-centric interfaces using Django templating, Bootstrap, and AJAX to deliver dynamic content updates without full-page reloads, enhancing the user experience and platform performance.

      Projects

      News classification using PyTorch
      News classification using PyTorch

      Developed PyTorchNewsClassifier utilizing PyTorch framework and created a neural network that categorizes news articles into four distinct categories: Sports, World, Business, and Science Tech with 97% accuracy.

      American University Attendance Risk Prediction
      American University Attendance Risk Prediction

      Developed a neural network classifier (NN) to identify students at high risk of low attendance based on academic performance, achieving 79% accuracy and enabling the university to support them through targeted interventions.

      ChaTex
      ChaTex

      Created an Android chat application that extends existing chat applications' features by letting users send mathematical equations and expressions in their natural form along with text messages. ChaTeX uses LaTeX for the typesetting of math equations.

      Awards

      Srijana The Innovation

      First Prize in Software Competition

      organized by Advanced College of Engineering and Management

      Lalitpur, Nepal

      Yatra 1.0

      First Prize in Software Competition

      organized by National College of Engineering

      Lalitpur, Nepal

      Programming Competition

      First Prize in NOSKode(Python Programming)

      organized by Nepal Open Source Klub

      Lalitpur, Nepal

      Contact Me ☎️

      Want to discuss an interesting opportunity or just want to say hi? My inbox is open for all.



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