📍 San Francisco, California | 📧 venkataramanan.v@nyu.edu | 🌐 LinkedIn | 👨💻 LeetCode
- Programming Languages: Python, C++, C#, TypeScript, Java, JavaScript, SQL
- Web Development: React JS, HTML/CSS, REST APIs
- Data Analysis & Reporting: PySpark, Pandas, PowerBI, Tableau, R
- Cloud & DevOps: AWS (Amazon Web Services), Docker, Kubernetes, CI/CD pipelines
- Software Development Practices: Agile Methodologies, Test-Driven Development, Pair Programming
CloudX | Manalapan, NJ (Remote) | June 2024 – August 2024
- Leveraged GPT-4 Vision API and Langchain for media content analysis, increasing content accuracy by 30%.
- Developed RAG and NLP features using Keras, NLTK, and Weaviate, reducing data retrieval speed by 25%.
- Built responsive frontends using React and TypeScript, improving load times by 20%.
- Implemented CI/CD pipelines, reducing bug incidence by 35%.
NYU Wasserman Center for Career Development | New York, NY | Sept 2023 – May 2024
- Cleaned and analyzed 17,000+ data points, uncovering actionable insights.
- Automated multi-source data integration with Python, improving efficiency.
- Conducted monthly quality checks on 20,000+ records for data accuracy.
Thoughtworks | Chennai, TN | Aug 2020 – July 2023
- Boosted test campaign conversion by 15% using Power BI dashboards.
- Developed Serverless Lambda REST API in C#, achieving an apdex score > 0.9.
- Optimized API response time by 25% using advanced GraphQL queries.
- Built ETL pipelines with AWS Glue and PySpark, reducing job runtime to 4 mins.
- Enhanced user engagement by 30% with React TypeScript dashboards.
Thoughtworks | Chennai, TN | Jan 2020 – July 2020
- Improved deployment speed by 20% with Docker and Kubernetes.
- Reduced bug issues by 25% through Agile practices and pair programming.
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M.S. in Computer Science
New York University | Expected May 2025
Focus: Machine Learning, Big Data, Computer Vision -
B.E. in Computer Science and Engineering
SSN College of Engineering | April 2020
- Built a model using SVM and BERT, achieving 60% and 67% accuracy, respectively.
- Analyzed 3.8M Reddit posts using PySpark and MongoDB to recommend tailored subreddits.
- Developed NLP techniques for predicate-argument matching, improving accuracy by 20%.
- Deep Learning Specialization – Coursera (May 2020)
- Machine Learning A-Z – Udemy (March 2021)
- Data Science Ethics – Coursera (June 2020)
- Conducted 10+ interviews promoting diversity and equity.
- Delivered 2 presentations on advanced data analytics at major community events.
- Mentored and onboarded 5 team members with efficient knowledge transfer sessions.