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Data Analytics · Data Science · Generative AI

Turning data into decisions. Building AI that works.

I build dashboards, explore datasets, and develop AI applications that turn complex information into useful tools.

Portrait of Palash Verma in a navy suit, standing in front of a glass building
Fig. 01 — Palash Verma

Connecting the dots.

Data → Insight → Impact

Scroll to explore

01 / Selected work

Dashboards and AI, side by side.

An analytics build and an AI application, given equal weight — because most real problems need both.

Power BI dashboard showing net profit by product line, office, cost of sales and customer countryProject screenshot
01Data Analytics

Classic Models Sales Analysis

Relational sales analysis in MySQL with a multi-page Power BI dashboard covering products, offices, customers and shipments.

  • MySQL
  • Power BI
  • CTEs
  • Window Functions
View Case Study
02Generative AI

Advanced RAG Knowledge Assistant

A document question-answering assistant with semantic chunking, reranking, query rewriting and a validated FastAPI layer.

  • Python
  • LangChain
  • ChromaDB
  • Embeddings
View Case Study
Demo not connected

02 / All projects

The full collection.

8 projects shown

  • Power BI dashboard showing net profit by product line, office, cost of sales and customer countryProject screenshot
    Data Analytics

    Classic Models Sales Analysis

    Relational sales analysis in MySQL with a multi-page Power BI dashboard covering products, offices, customers and shipments.

    • MySQL
    • Power BI
    • CTEs
    • Window Functions
    View Case Study
  • Generative AI

    Advanced RAG Knowledge Assistant

    A document question-answering assistant with semantic chunking, reranking, query rewriting and a validated FastAPI layer.

    • Python
    • LangChain
    • ChromaDB
    • Embeddings
    View Case Study
    Demo not connected
  • Generative AI

    Multimodal AI Assistant Platform

    An assistant that combines text, voice and images, orchestrating tool calls against a SQLite-backed flight workflow.

    • Python
    • Gemini API
    • Tool Calling
    • Whisper
    View Case Study
    Demo not connected
  • Generative AIDeveloper Tools

    Multi-Model Code Converter

    Converts Python to C++ or Rust through a provider-independent interface, then compiles and runs the output to compare models.

    • Python
    • LLM APIs
    • Prompt Engineering
    • C++
    View Case Study
    Demo not connected
  • Data AnalyticsGenerative AI

    AI-Assisted SQL Analysis

    A structured workflow for generating SQL with ChatGPT, then validating every query against business logic in MySQL.

    • ChatGPT
    • MySQL
    • Prompt Engineering
    • SQL
    View Case Study
    Demo not connected
  • Data Analytics

    Netflix Data Analysis

    End-to-end cleaning in Excel, relational setup in MySQL, and a multi-page Power BI dashboard on ratings, categories and countries.

    • Excel
    • MySQL
    • Power BI
    • XLOOKUP
    View Case Study
    Demo not connected
  • Data Science / MLCourse project

    Ecommerce Price-Prediction Model

    A PyTorch price-prediction model built during hands-on AI engineering coursework.

    • Python
    • PyTorch
    View Case Study
    Demo not connected
  • Data ApplicationsData App · IoT

    Automated Mushroom Cultivation System

    A cross-platform Flutter app that visualises sensor data and growth progress, backed by Supabase and hosted on Vercel.

    • Flutter
    • Supabase
    • Vercel
    • IoT
    View Case Study
    Demo not connected

03 / AI Lab

A workbench for things that run.

One hub for every AI application I build. Each entry is clearly marked with whether a working deployment is connected — nothing is shown as live until it actually is.

AI projects
4
Browser tools
1
  • In-browser tools

    Small utilities that run entirely inside this site — no server, no keys.

  • Hosted apps

    Gradio, Streamlit and API services deployed separately and opened by direct link.

  • On-demand embeds

    Approved demos load on a project page only after you choose to open them.

04 / About

I'm Palash, an engineering student at Thapar Institute of Engineering and Technology. My work spans data analysis, interactive dashboards, and generative AI applications.

I enjoy connecting the full workflow—from collecting and cleaning data to building tools that make it useful.

  1. Collect
  2. Clean
  3. Analyse
  4. Build
  5. Ship

01

Data & BI

  • SQL (MySQL)
  • Excel
  • Power BI
  • Tableau
  • Snowflake
  • Snowflake Cortex
  • Streamlit

02

AI & ML

  • Python
  • PyTorch
  • HuggingFace
  • LangChain
  • ChromaDB
  • RAG
  • Prompt Engineering
  • Gradio

03

Engineering & Deployment

  • FastAPI
  • Pydantic
  • REST APIs
  • Git & GitHub
  • Supabase
  • Vercel
  • Linux
  • C / C++

05 / Experience

Where I've worked.

  1. Geothermx

    Embedded Software Engineer

    • Worked on an ESP32-based sensor acquisition system reading multi-depth temperature data.
    • Built timestamped data logging and cleaned raw readings into analysis-ready datasets.
    • Visualised thermal profiles and integrated cloud transmission through ThingSpeak.
    • ESP32
    • Embedded C
    • Data Cleaning
    • ThingSpeak
    • Visualisation
  2. Student Alumni Interaction Cell

    Executive Committee Member

    • Contributed to event planning, team coordination, logistics and outreach.
    • Supported student–alumni engagement and professional networking.
    • Served as Event Management Head for Exordium’25.
    • Leadership
    • Coordination
    • Outreach

Education

  • Thapar Institute of Engineering and Technology

    B.E. Electronics Engineering — VLSI Design and Technology

  • Amity International School, Mayur Vihar

    Senior school

  • Amity International School, Noida

    School

Certifications

  • AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — Udemy
  • Data Analysis | SQL, Tableau, Power BI & Excel — Udemy