About Me


Experienced AI Engineer and Data Analyst with a strong foundation in Computer Science. Proficient in Python, R, SQL, and AWS, with a talent for crafting inventive data solutions. Specialized in sales prediction, advertisement analytics, and web scraping projects. Excited to apply analytical skills and innovative thinking to tackle your tech challenges!


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Education

Master of Computer Science

George Mason University


Coursework: Data Mining, Computer Systems and Programming, Advanced NLP, Analysis of Algorithms, Software Design and Architecture, Component-Based Software Development, Network Security, Real-Time Embedded Software Engineering.


GPA: 3.53/4

Aug 2022 - May 2024

Bachelor of Information Technology

University of Mumbai


Coursework: Data Structures, Machine Learning, Artificial Intelligence, Database Systems, Computer Architecture, Cloud Computing, Big Data Analytics, Object-Oriented Programming, Operating Systems, Project Management.


GPA: 3.5/4

Jun 2017 - May 2021



Skills

Languages & Frameworks: Python, Django, Spark, R, SQL, Java, React, JavaScript, Nextjs, Typescript, Angular, Hadoop-MapReduce, Tableau, PowerBI, Databricks, Snowflake

Software & Cloud: Jira, Docker, Kubernetes, Jenkins, DevOps, Terraform, AWS

Libraries: Pandas, OpenCV, NumPy, SciPy, Keras, TensorFlow, HuggingFace, Scikit-Learn, Selenium

Experience

Software Engineer - LocalArena Tix

Apr 2024 - Present | Oakland, California, United States

  • Developed a ticket-selling platform with Next.js, Typescript, Material-UI for the frontend, and Django for the backend, integrating automated Slack notifications to initiate bank transactions, all data securely managed within a PostgreSQL database.
  • Integrated Stripe for secure one-time payments, incorporating a payment link on the dashboard accessible only to verified users, thus enhancing transaction security.
  • Created and launched a reporting dashboard for LocalArena Tix, empowering season ticket holders with real-time analytics on sales, marketplace distribution, and monthly ticket trends.
  • Formulated metrics to assess additional revenue generated by platform-specific rates versus original marketplace fees, significantly enhancing user profitability insights.
  • Architected sophisticated revenue projection tools that analyze current and historical sales data to forecast future earnings.
  • Employed Docker to containerize the application, achieving consistent execution environments across development phases, and leveraged Kubernetes for automated management and scaling of containerized services.

AI Engineer | ProductizeTech

Aug 2021 - Jul 2022

  • Implemented adaptive machine learning algorithms, including Random Forests and Gradient Boosting, to enhance route efficiency and predict road conditions suggesting optimal travel routes using historical traffic data.
  • AWS technologies such as S3 for data storage, Lambda and Glue for handling ETL pipelines, and Redshift for data warehousing, improving the accuracy of the traffic data warehouse by 15%.
  • Streamlined ETL workflows and orchestrated data processes using AWS Step Functions and Amazon EventBridge, reducing prediction errors by 10%.
  • Collaborated with cross-functional teams to integrate statistical models and predictive algorithms like XGBoost within the AWS environment significantly boosting prediction accuracy and facilitating precise real-time traffic forecasting, contributing to a 20% improvement in system responsiveness and user experience.
  • Leveraged technologies like Python, scikit-learn, and TensorFlow to build and refine predictive models, ensuring robust and reliable maintenance scheduling based on data-driven insights.

Data Analyst - GlobalShala

Jan 2021 - May 2021

  • Automated data extraction and processing pipelines using GCP services including Cloud Functions, Compute Engine, and Cloud Pub/Sub, facilitating real-time data integration from multiple sources like social media and surveys.
  • Leveraged BigQuery for robust data warehousing and analysis, performing SQL queries to extract actionable insights, and optimizing advertising campaign strategies leading to a 20% improvement in response rates.
  • Utilized BigQuery ML for predictive analytics to forecast campaign outcomes, directly influencing strategic adjustments and achieving a 15% increase in campaign effectiveness.
  • Maintained interactive dashboards in Tableau, enabling real-time KPI tracking and data-driven decision-making.

Python Developer - Eduvance Solutions

Jun 2019 - Aug 2019

  • Engineered a web scraping tool using Python libraries Selenium and Beautiful Soup to automate data collection from Amazon, reducing the data collection time required by 30%.
  • Utilized Excel for data analysis and reporting, employing VLOOKUPs and pivot tables to streamline data manipulation and insights extraction.
  • Leveraged Power BI for enhanced data visualization, significantly improving the clarity and impact of reports.
  • Implemented Git for version control, fostering better team collaboration and reducing code conflicts by 20%.

Projects

RAG Using Lamma3

This project leverages Meta AI's Llama3 as the Language Model (LLM) and combines it with other key components to provide an interactive experience for querying documents.

EduPulse

The Student Survey Application is a microservices-based web application designed for managing student survey data.

Data Science Salary Insights

Tableau dashboard provides an interactive exploration of data science job salaries, based on various factors including location, experience level, employment type, and job role.

Discourse Analyzer

Conducted comprehensive research on long-form answers to understand how humans organize information, leading to the development of an ontology comprising six functional roles for sentence-level analysis

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