About
Hello, I’m Hemanth Shrinivasan Basavaraj, a Master’s student in Data Science at SUNY Buffalo and a gold medalist in Mechanical Engineering. With over three years of professional experience, I specialize in cloud engineering, data analytics, and DevOps, having managed large-scale infrastructures, automated CI/CD pipelines, and optimized workflows for 500TB of enterprise data daily. My technical toolkit includes Kubernetes, Terraform, Apache Spark, and Azure, enabling me to deliver scalable, efficient, and secure solutions. My academic journey and professional accomplishments are complemented by innovative projects like developing dynamic Airbnb pricing models using machine learning and designing real-time IoT pipelines for predictive analytics. As the co-founder of CornerInk, I integrated technology and strategy to streamline operations and increase revenue. With a passion for problem-solving and innovation, I’m dedicated to creating data-driven systems that drive transformation. Dive into my portfolio to see how my expertise can add value to your organization.
- Date Of Birth: 20 Aug 1998
- Website: https://hemu0820.github.io/B-Hemanth-Shrinivasan/
- Phone: +1 7163050944
- City: Buffalo, NY 14214
- Age: 26
- Degree: Masters
- Email: hemus717@gmail.com
Skills
Feeling curious? 🤔 Take a scroll down the Skills section—it's where all the magic happens! 💻 From cloud wizardry to data ninja moves, you'll see what I’m really made of (spoiler alert: it's more than just coffee ☕ and code). Don't just take my word for it...go ahead, scroll down and prepare to be impressed! 🎩✨
Resume
Hey there! Are you ready for some serious resume entertainment? Head on over to my website and check out my resume. It's so impressive, it might just make you want to hire me on the spot! Okay, maybe not on the spot, but I promise it's worth a look. Thanks a bunch!
Sumary
B Hemanth Shrinivasan
- Buffalo, NY 14214
- +1 7163050944
- hemus717@gmail.com
Education
Master of Science - Data Science
2023 - Present
University at Buffalo, NY
Current GPA - 3.78
Bachelor of Technology - Mechanical Engineering
2016 - 2020
Sri Krishna College of Technology, Coimbatore, India
Graduated with a GPA of 3.77 as the top student in a class of 170
Earning the distinction of Gold Medallist.
Academic projects
IPL Cricket Data Management and Query Optimization
- Designed and optimized a PostgreSQL database for IPL cricket data, improving query performance by 50% and deploying a real-time visualization app.
Multi-Algorithm Airbnb Pricing Optimization and Web Integration
- Developed and integrated machine learning models (Decision Tree, Gradient Boosting) to optimize Airbnb rental prices using 49,000+ listings. Built a web interface to showcase results.
Real-Time Data Pipeline for Predictive Analytics on IoT Sensor Data
- Engineered a scalable real-time data pipeline using Apache Kafka, Spark, and AWS to ingest, process, and analyze IoT sensor data, enabling predictive analytics and anomaly detection with integrated CI/CD and cloud infrastructure automation.
Achievements
EFFI-CYCLE (SAE INDIA)
july 2018 - October 2018
- Led a 5-member team to design and race an electric trike, securing 5th place in endurance and 4th in drive excellence out of 100+ teams.
Defence Research and Developemt Organization - Robotics and Unmanned Systems Exposition
January 2018 - March 2018
- Conceptualized and executed an autonomous robotic rover system, achieving Top 15 finalist position out of 350+ teams at the DRDO exposition.
Elite Certification in Artificial intelligence issued by the Indian Institute of Technology, Madras
October - 2019
- Fundamentals of Artificial Intelligence - NPTEL (Oct 2019) Completed an in-depth course on the foundational concepts of Artificial Intelligence, including problem-solving techniques, machine learning fundamentals, and AI applications
Professional Experience
Co-Founder
September 2022 - August 2023
Cornerink, Hyderabad, India
- Built a web application for personalized clothing design, material selection, and order placement, optimized for individual and bulk purchases, with integrated design tool, payment systems, AI assistance, and order management for enhanced user experience and efficiency.
Cloud Data Analyst
September 2022 - January 2023
Accenture, Hyderabad, India
- Collaborated with data teams to optimize data flows using Apache Spark and Databricks, processing and analyzing up to 500TB of data daily.
- Ensured seamless integration of backup data into cloud storage infrastructure, enhancing data accessibility and consistency.
- Designed disaster recovery strategies with 99.9% data availability through multi-region replication of 500TB of critical data.
- failover and recovery processes using Azure Resource Manager templates, minimizing downtime by 30% and improving operational efficiency.
- daily reports on backup status, system performance, and incidents to clients, ensuring transparency and communication on 500TB daily backup operations.
Cloud Data Associate
August 2020 - September 2022
Accenture, Hyderabad, India
- Administered 500TB daily backups across RAW, tape, Nutanix, VM, archive, and filesystem backups on conventional systems, along with backups on Azure, ensuring data integrity while deploying monitoring with Prometheus and Grafana, reducing downtime by 25%.
- Allocated 1,000+ LUNs with 1.2TB storage volumes, optimizing SAN/NAS resources, and reduced cloud infrastructure costs by 15% through automated scaling.
- Improved ETL pipeline efficiency for 100TB of data using Apache Spark and Databricks, while managing 100+ cloud resources with Terraform and Ansible, reducing provisioning times by 60% and ensuring accurate, timely cloud storage transformation and infrastructure consistency in Azure.
- Managed 50+ containerized applications using Docker, reducing deployment times by 30%, and orchestrated Kubernetes clusters to support large-scale backup and replication processes.
- Automated CI/CD pipelines with Jenkins and GitLab, increasing deployment efficiency by 40% and reducing manual configuration by 50%.
Data Analyst Intern
July 2019 - August 2019
GMR Airport Developers, Hyderabad, India
- Analyzed HVAC system data using Excel to optimize performance, developed real-time dashboards for energy monitoring, and used AWS EC2 and S3 for scalable storage and processing.
Certifications
Portfolio
Here are some of my tech projects. Click on the links to view the code on GitHub.
- All
- Web
- AI/ML
- Big Data
Airbnb Rental Strategies
Multi-Algorithm Airbnb Pricing Optimization and Web Integration
IPL Database Project
IPL Cricket Data Management and Query Optimization
Real Time Data Pipeline
Real-Time Data Pipeline for Predictive Analytics on IoT Sensor Data
Dynamic Hand Sign Detection
Using machine learning models to recognize hand gestures of a host appearing in a video and convert into speech
CoviProtec
This platform enables online vaccine booking for individuals and hospitals to manage vaccinations, stock, and appointments efficiently
Image Caption Generation Using Deep Architecture
Using machine learning models along with attention mechanism to identify a given image and generate most appropriate caption for it
NEWS Web Application
This news application provides users with the latest updates and breaking news from around the world. It offers a clean and user-friendly interface, allowing users to browse news by categories, search for specific topics, and stay informed with real-time updates
Invoice Generator
The Invoice Project is a Django web app for creating, managing, and tracking invoices, with features like client management and payment tracking
Loan Management
The Loan App is a tool for managing loans, allowing users to apply for loans and track payments, balances, and due dates
University Admit Eligibility Predictor
The application collects user-provided input and combines it with preprocessed student data. The data is passed through machine learning models, including linear and logistic regression, to generate prediction results, which are then displayed to the user
Handwritten Number Recognization
Neural network model to recognize handwritten numbers
Membership Registeration REST API
This project is a REST API for managing membership generation, providing endpoints to create, update, and delete memberships. It supports features like user registration, membership tier management, and tracking membership status, ensuring a seamless integration with applications needing membership functionalities
Chatbot
Chatbot created using nltk and tensorflow
Contact
Need to reach me urgently? Send a carrier pigeon, smoke signals, or just use the good ol' contact information below!
Location:
Buffalo, New York, NY - 14214
Email:
hemus717@gmail.com
Call:
+1 7163050944