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Software Engineer Data Visualization

Location:
Denver, CO
Salary:
120000
Posted:
March 23, 2025

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Resume:

Sanket Sharad Baviskar

ï linkedin.com/in/sanket-baviskar/ # ************.********@********.*** § /SanketBaviskar +1-720-***-**** Summary

• Software Engineer with 2+ years of experience in full-stack development using modern technologies.

• Streamlined system upgrades, reduced downtime, boosted efficiency, and enhanced data visualization.

• Passionate about driving innovation and growth in fast-paced teams through cross-functional collaboration.

• Expert in crafting real-time systems, optimizing performance, and resolving intricate technical challenges. Education

University of Colorado, Denver (USA) Jan 2023 - Present Master of Science in Computer Science (Algorithms, Advance Computer Architecture, Operating Systems) National Institute of Technology, Raipur (India) Jul 2016 - Jun 2020 Bachelor of Technology, Electrical Engineering (Computer Architecture) Skills

• Programming Languages: JavaScript, TypeScript, Python, C++, Rust, Go.

• Web Development: React, Angular, HTML/CSS, Node.js, REST APIs, GraphQL, Postman.

• AI/ML & Data Science: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, NLP.

• Databases: PostgreSQL, MySQL, MongoDB, Redis.

• Cloud & DevOps: AWS, Docker, Jenkins, Kubernetes, GitHub Actions. Experience

Fullstack Engineer I Neewee.ai (Bangalore, India) Jan 2022 - Oct 2022

• Designed and implemented a scalable, dynamic device health management system using Angular 8+, reducing device downtime by 40% and boosting operational efficiency by 25%, resulting in significant cost savings.

• Developed interactive KPI dashboards and workflow management UI, leveraging data visualization techniques to en- hance operational visibility and streamline task management for cross-functional teams.

• Conducted comprehensive QA, testing, and debugging using Selenium and Postman, improving system reliability by 20% and ensuring seamless user experiences across platforms.

• Optimized event processing workflows by 15% by integrating Azure Queue Storage and Docker containers, enabling faster data handling and improved system performance.

• Collaborated with cross-functional teams to gather requirements, design solutions, and deliver high-quality software Platform Developer Neewee.ai (Bangalore, India) Jun 2020 - Mar 2021

• Partnered with Airbus to design and implement real-time dashboards using AngularJS, Highcharts, and WebSock- ets, improving data visibility by 30% and enabling faster decision-making for critical operations.

• Revamped legacy systems by modernizing the UI and optimizing backend processes, resulting in a 30% improvement in system responsiveness and overall performance.

• Debugged and integrated RESTful APIs with Play Framework and Docker, ensuring accurate data visualization and seamless communication between frontend and backend systems.

• Worked closely with stakeholders to translate business requirements into technical solutions, delivering high-impact fea- tures on time and within budget.

Projects

Pro-Rec Center Management Software React, Node, AWS, Postgres Nov 2024 - Present

• Designing university rec center infra that strengthens sales, amplifies revenue, and modernizes the booking architecture

• Created a dynamic Admin Dashboard for modularity and flexibility, enabling custom field configurations. News Bias Detection NLP, TensorFlow, Keras May 2024 - Jul 2024

• Built a Flask app to detect bias in the news articals using a pre-trained model with tokenization, padding and AIF360.

• Implemented sentiment analysis and word embeddings to enhance bias classification accuracy. Orchestral Instrument Detection Deep Learning Jan 2024 - May 2024

• Developed a real-time classification model for orchestral instrument detection from music with 90% accuracy.

• Used spectrograms, MFCCs, and visualized results with confusion matrices to separate it from the original. E-commerce Sales Prediction ML, Python, NumPy Sep 2023 - Dec 2023

• Optimized ML models (Random Forest, XGBoost, ARIMA, KNN) to predict weekly sales (89.59% accuracy).

• Leveraged NumPy/Pandas for advanced analysis, reducing inventory overstock and optimizing supply chain efficiency



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