I turn messy data into clear insights and circuits into intelligent systems  combining analytics, business thinking and hands-on engineering.
Data Analyst and final-year Electronics & Telecommunication Engineering student at Thadomal Shahani Engineering College, with hands-on experience across analytics internships and embedded systems builds.
My work sits at the intersection of digital and physical systems. I enjoy cleaning data, finding the non-obvious pattern, building a dashboard that makes it understandable, and then asking the business question behind the number.
Python, SQL, Excel, Power BI and Tableau are tools in the workflow  from data cleaning and EDA to dashboards and stakeholder-ready communication. Embedded C, ESP32 and Arduino extend that same mindset into hardware.
Python
Pandas · 
NumPy
C / Embedded C
SQL
MS Excel
Power BI
TableauStatistics · EDA
MySQL
MongoDBData cleaningVisualisation pipelines
ESP32 · ESP32-S3
ArduinoMQTT · BlynkRFID · Robotics
Analytics and engineering projects, presented as problems, approaches and outcomes rather than a list of technologies.
Automated ETL in Python/Pandas to clean, aggregate and transform 10,000+ transaction records, feeding Power BI dashboards for revenue, customer segments and delivery logistics.
Workforce analytics dashboard evaluating headcount, attrition, salary distribution and tenure to support data-driven talent management decisions.
Interactive dashboard tracking order and sales KPIs, trends and customer insights for easy, data-driven decision-making by non-technical stakeholders.
EDA across national credit-card usage datasets to surface patterns by city, payment type and gender, with visualisation pipelines for high-value customer segments.
Collaborated with a global team to build a Facebook campaign optimisation dashboard, identifying underperforming strategies for data-backed cost reductions.
End-to-end data cleaning and exploratory analysis pipeline that surfaced engagement trends and achieved a 20% improvement in audience engagement.
Applied reinforcement learning to optimise urban traffic flow by dynamically adjusting signal timings to minimise congestion and improve throughput.
Wi-Fi controlled robot with live IP camera streaming, Blynk IoT control, OLED smart UI and a hardware safety switch.
Autonomous pesticide-sprinkling rover built for Smart India Hackathon 2025, automating agricultural maintenance with hardware logic and robotics.
Multi-sensor safety system combining ultrasonic, IR, fire and water sensors with real-time Blynk monitoring and instant buzzer/notification alerts.
ESP32-based RFID authentication using MFRC522 with MongoDB/MySQL integration and dual access through a web interface and IoT dashboard.
Real-time MQ-2/MQ-135 monitoring with MQTT-based automated fan, buzzer and LED alerts plus a mobile interface for remote monitoring.
Reworked a remote-controlled car to remove Blynk/Wi-Fi dependencies in favour of direct serial communication for better responsiveness and reliability.
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Have a question, opportunity, project idea, or just want to say hello? Send me a message through the form and I’ll get back to you.
