Aveg Ganorkar

Data Scientist

Washington, DC, United States1 yr 3 mos experience

Key Highlights

  • Developed a Cross-Platform Calculus Application.
  • Conducted YouTube Chat Sentiment Analysis using Machine Learning.
  • Created scalable solutions optimizing processes with Python and SQL.
Stackforce AI infers this person is a Data Science and Analytics professional with strong software engineering capabilities.

Contact

Skills

Core Skills

Data ScienceData VisualizationData AnalysisData EngineeringCloud Computing

Other Skills

API DevelopmentAgile MethodologiesAnalytical SkillsApache AirflowArtificial Neural NetworksBashBig DataCloud ApplicationsComputer ArchitectureComputer NetworkConvolutional Neural Networks (CNN)Data AnalyticsData ArchitectsData CleaningData Cleansing

About

I’ve always been driven by curiosity and a desire to solve complex problems. Growing up, I was fascinated by how technology shapes the world around us. This passion led me to pursue a Bachelor’s in Electronics and Communication Engineering, where I developed a solid foundation in systems, programming, and innovation. My professional journey began as a Software and Data Engineer, where I tackled challenges in data processing, software development, and analytics. One of my proudest achievements was developing a Cross-Platform Calculus Application and conducting a YouTube Chat Sentiment Analysis project, combining Machine Learning, Node.js, and MongoDB. These projects not only enhanced my technical skills but also resulted in published research papers, a testament to the impact of my work. Today, as I pursue my MS in Data Science at the University of Maryland, College Park, I’m diving deeper into advanced analytics, visualization and development, exploring their potential to drive innovation and solve real-world problems. My hands-on experience with tools like Python, R, SQL, and cloud platforms like AWS and GCP has allowed me to create scalable solutions that optimize processes and deliver actionable insights. I believe in balancing technical expertise with a human touch. Beyond work, I find joy in activities that spread positivity, like bird watching, sports, dancing, public speaking, and meditation. These interests ground me, fostering creativity and resilience that I bring to every project I undertake. As someone who thrives in collaborative environments, I’m passionate about leveraging data and technology to make a difference. I’m eager to connect with like-minded individuals and organizations who share my vision for innovation in Data Science, Software Development, and Analytics. Let’s connect and explore opportunities to collaborate or share ideas!

Experience

University of maryland – college of computer, mathematical, and natural sciences

2 roles

Graduate Teaching Assistant

Sep 2025Dec 2025 · 3 mos · College Park, Maryland, United States

  • DATA/MSML650: Cloud Computing

Mathematics Grader

Aug 2025Dec 2025 · 4 mos · College Park, Maryland, United States

  • STAT410: Introduction to Probability

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Data Science and Analytics Intern

Jun 2025Aug 2025 · 2 mos · Palo Alto, California, United States · Remote

  • Cleaned and classified 1M+ biomedical records using Python and SQL, improving data accuracy by 35%.
  • Built automated Airflow labeling pipelines with 93% entity classification accuracy, cutting manual tagging time by 50%.
  • Designed a SQL schema to standardize research codes across 1,500 companies and 500K+ entities.
  • Created regex dictionaries to standardize company codes and resolve data inconsistencies.
  • Detected anomalies and executed large-scale data cleaning to ensure high-quality datasets.
  • Analyzed drug discovery trends using SQL and Python to uncover actionable insights.
Python (Programming Language)SQLApache AirflowData AnalysisEDAData Cleaning+1

University of maryland

Research Assistant

Mar 2025Sep 2025 · 6 mos · College Park, Maryland, United States

  • Built a Streamlit-based website to run and display results from multiple simulations in real time.
  • Developed interactive web visualizations with Plotly and JavaScript to showcase distribution patterns and probabilistic behaviors.
  • Cleaned and preprocessed large academic datasets to support multiple research studies and ensure data integrity.
  • Designed and implemented REST APIs for efficient data retrieval and integration into analysis workflows.
  • Applied statistical methods and machine learning to real and synthetic datasets, delivering actionable insights.
  • Created scalable pipelines for data storage, model training, evaluation, and results sharing.
Python (Programming Language)Statistical Data AnalysisData ArchitectsData LoadingStreamlitPlotly+2

University of maryland libraries

Student Assistant

Jan 2025Jun 2025 · 5 mos

Smart tech software

Data Analyst

Aug 2023Jul 2024 · 11 mos · Remote

  • Sourced, maintained, and integrated data from 10+ primary sources, ensuring clean, reliable datasets to power analytics and decision-making.
  • Developed and maintained efficient APIs for seamless system communication and data exchange, improving interoperability across platforms.
  • Customized database schemas and built data access services integrating SQL and REST APIs, improving KPI metrics by 30% and streamlining data processing workflows.
  • Leveraged Python and SQL for advanced data wrangling, mining, and analysis—uncovering $300K in financial fraud through actionable insights.
  • Designed and deployed scalable data-driven applications on Oracle Cloud Infrastructure, ensuring reliability and performance for enterprise analytics.
  • Refactored and optimized data workflows to reduce latency, enhance scalability, and improve processing efficiency.
  • Applied data modeling best practices to support decision-making and enable scalable analytics solutions.
SQLMongoDBAnalytical SkillsMachine LearningPython (Programming Language)Financial Data+3

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Intern Data Engineer

Feb 2023Jul 2023 · 5 mos · Delhi · Hybrid

  • Engineered automated ELT pipelines using Airflow, Snowflake, and SQL, improving data preprocessing efficiency by 42%.
  • Integrated AWS Lambda with Slack via webhooks to enable real-time notifications, boosting team collaboration and responsiveness by 60%.
  • Designed and managed scalable databases with optimized schemas, high‑performance SQL queries, and advanced data security protocols.
  • Orchestrated data integration workflows across 5+ platforms, ensuring consistent, accessible, and high‑quality data for analytics and operations.
SQLData AnalyticsAPI DevelopmentMachine LearningPython (Programming Language)Cloud Applications+5

Education

University of Maryland

Master of Science - MS — Data Science and Analytics

Aug 2024May 2026

Shri Ramdeobaba College of Engineering and Management

Bachelor of Engineering - BE — Electronics and Communications Engineering

Jan 2019Jan 2023

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