Hello, I am
Tanay Upadhyay 👋

I am a

Data Analyst

Software Engineer

Embedded System Engineer

I develop
Software Engineer • Data Analyst • Embedded Systems • Robotics • Python • SQL • AWS • ROS2 • IoT •
Software Engineer • Data Analyst • Embedded Systems • Robotics • Python • SQL • AWS • ROS2 • IoT •
My Skills

Languages

Data Analytics

Backend & Cloud

Embedded & Robotics

...and many more

NowNowlet'slet'stalktalkaboutaboutmymyexperienceexperience

Data Analytics Intern at TechnoData Analytics Services Pvt. Ltd.

Synthesized business requirements into actionable BI solutions. Leveraged GenAI for data summarization and deployed 3 interactive AWS QuickSight dashboards, reducing reporting time by 40%.

AWS QuickSightGenAIBI Solutions

Software Development Intern at Maruti Suzuki India Limited

Structured and analyzed large-scale industrial data using mathematical models to target a 5% efficiency improvement. Optimized Oracle PL/SQL database queries, achieving a 3% improvement in data retrieval speed.

Oracle PL/SQLData AnalysisMathematical Modeling

B.Tech - Electronics & Communication Engineering at Vellore Institute of Technology

CGPA: 9.02/10

My Projects

End-to-End Employee Absenteeism Analytics

Built a logistic regression model achieving 78% accuracy on 700+ records. Designed a MySQL database schema and automated the ETL workflow, reducing manual data preparation time by 85%.

PythonSQLTableauLogistic Regression

VisionGuard: Edge AI Safety System

Architected a real-time AI safety system on edge hardware achieving 30+ FPS. Optimized AI workload by 50% through a novel inference strategy and built a low-latency visualization engine.

PythonOpenCVRaspberry Pi 5WebSockets

AWS Sentiment Analysis Pipeline

Analyzed thousands of customer reviews by building an end-to-end NLP pipeline. Utilized LLM embeddings for feature engineering and deployed a predictive model with 94.60% accuracy.

AWS SageMakerS3PythonNLTKGenAI

CaveSight: Autonomous Safety Robot

Designed a custom PCB integrating MCU, IMU, and LiDAR. Integrated AI-driven crack detection using OpenCV and utilized ROS2 for autonomous navigation and hazard reporting.

ROS2C++LiDARPCB Design

ESP32 Network Intrusion Detection

Implemented real-time traffic analysis on ESP32 using TFLM. Constructed a packet capture pipeline for on-device anomaly detection and real-time alerting.

Embedded CTensorFlow LiteIoT

FPGA I2C Master Controller

Designed a synthesizable Verilog IP Core for sensor data acquisition with a robust FSM and tri-state logic for bidirectional communication.

VerilogFPGADigital Design
Achievements
Finalist (Top 10/2230 teams) - Caterpillar Tech Challenge 2025
National Qualifier - Smart India Hackathon 2024
Finalist - Providence Leap Ideathon 2024
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