Building growth
through data & automation

Marketing Analyst at Maino AI, focused on data analytics and automation. I build automated data pipelines, dashboards, and reporting on Google Cloud Platform — BigQuery, Colab Enterprise, Looker Studio, and MySQL — for performance-marketing clients including Amazon MX Player, Hyugalife, Nutrabay, MillD, and Hi-Robin.

Previously at Aristok Technologies, I managed Meta & Google Ads for brands like Porter — reducing customer acquisition cost through data intelligence, building Python/Streamlit dashboards, and automating performance workflows end-to-end. My approach pairs hard analytics with a marketer's sense for what moves the number.

0
Years Experience
1
Patent Published
1
Springer Publication
2
Certifications

Core Offerings

Turning data into revenue through performance marketing and automated systems.

📊

Performance Marketing

End-to-end media buying and bid optimization across Meta and Google Ads. Specializing in CAC reduction, budget pacing, and full-funnel strategy.

📈

Analytics Dashboards

Building automated, real-time reporting systems using BigQuery, Python, and Looker Studio. I turn scattered data into actionable stakeholder dashboards.

🤖

Agentic AI & Automation

Engineering agentic AI skills for in-product AI agents and automating reporting workflows — from Root Cause Analysis to creative analysis of video & static ads.

My professional experience

Data & automation for performance marketing — across a marketing-AI platform and a growth agency.

Maino AI

Bengaluru, India · Apr 2026 – Present

Marketing Analyst

Current

Apr 2026 – Present

  • Drive data analytics & automation on Google Cloud Platform — BigQuery, Colab Enterprise, and MySQL — turning cross-platform marketing data into decisions
  • Build automated data pipelines and Looker Studio dashboards giving clients real-time visibility into spend, ROAS, and CAC
  • Engineer agentic AI capabilities for Maino's in-product AI agent — authoring agentic skills that sharpen its accuracy across performance-marketing tasks like Root Cause Analysis (RCA) and creative / elemental analysis of video & static ads
  • Partner with performance-marketing clients including Amazon MX Player, Hyugalife, Nutrabay, MillD, and Hi-Robin

Aristok Technologies

Pune, India · Jun 2024 – Mar 2026

Analyst — Automation & Technology

Full-time

Jun 2025 – Mar 2026

  • Led marketing automation — building end-to-end reporting pipelines and tech-driven campaign solutions across platforms
  • Developed custom dashboards using Looker Studio, BigQuery, Python/Streamlit, and Plotly for real-time stakeholder insights
  • Architected a BigQuery + Apps Script data pipeline, eliminating Google Sheets' 10M-cell limit and saving 10–15 hrs/week per person

Business Analyst — Digital Marketing

Internship

Jun 2024 – May 2025

  • Managed Meta & Google Ads campaigns (Search, Pmax, UAC, Demand Gen) for Porter — reducing CAC from ₹750 to ~₹400
  • Built Python/Streamlit dashboards and trained custom GPTs for automated campaign insights and reporting
  • Recognised with two performance awards for outstanding impact and turnaround
🏆 Spotlight of the Month — Aug '24 🏆 Best Turnaround Story — Q4 '24

My journey

From engineering student to performance marketing analyst — a path driven by data.

2021

B.Tech Engineering

Electronics & Telecommunication at Vishwakarma Institute of Technology, Pune

Foundation
2022–23

President & Coordinator

Led The Investment Forum & E-Cell — organized events, managed teams, built networks

Leadership
Nov 2023

Patent Published

Wireless Controlled Drainage Cleaning Robot — IoT & Robotics innovation

Innovation
Jun 2024

Joined Aristok Technologies

Started as Business Analyst intern — managed Meta & Google Ads for Porter

Career Start
2024

Two Performance Awards

Spotlight of the Month & Best Turnaround Story — reduced CAC from ₹750 to ₹400

Recognition
Jun 2025

Analyst — Automation & Tech

Promoted to full-time — built BigQuery pipelines, AI agents, and custom dashboards

Growth
May 2025

Springer Publication

Automatic Number Plate Detection & Recognition — Computer Vision research

Research
Apr 2026

Marketing Analyst @ Maino AI

Joined Maino AI — data analytics & automation on GCP (BigQuery, Colab Enterprise, Looker Studio, MySQL) for performance-marketing clients

Current Chapter

Real-world impact

Projects and solutions I've built — from data pipelines to AI agents.

🤖

DataLens AI — Conversational Data Agent

Chat with your data across BigQuery, Google Ads & Meta Ads

🔴 Problem

Marketing analysts spent hours writing SQL, switching between ad platforms, and manually assembling reports. Non-technical stakeholders couldn't access data without going through analysts — creating bottlenecks across siloed data sources.

🟢 Solution

Built an AI-powered conversational agent that autonomously discovers schemas, writes & executes SQL, pulls live data from ad platforms, and generates interactive visualizations — all through natural language chat.

Input
💬
Natural Language Query Ask anything about your data
AI Engine
Gemini Claude OpenAI
Agentic Reasoning
Multi-LLM Router
Tool Selection
Auto-Retry Logic
Data Sources
BigQuery
BigQuery (CRM / Backend)
Google Ads
Google Ads
Meta
Meta Ads
Output
📊 📈 📋
Insights & Visuals
Markdown Analysis
Plotly.js Charts
CSV / Excel Export
Built With
Next.js 16
Modern React framework for high-performance frontend and server-side logic. Docs ↗
React 19
Core UI library for building dynamic, state-driven components. Docs ↗
Zustand
Lightweight state management for seamless session and data handling. Docs ↗
Plotly.js
Powerful charting library for interactive, publication-quality visualizations. Docs ↗
BigQuery REST API
Direct cloud data access for high-speed SQL execution and processing of CRM and backend data. Docs ↗
Meta Marketing API
Programmatic access to real-time Facebook and Instagram ad performance. Docs ↗
Google Ads API v23
Scalable integration for fetching cross-account campaign data. Docs ↗
SSE Streaming
Server-Sent Events for real-time, low-latency AI response delivery. Docs ↗
15+ AI models supported
3 Data sources integrated
0 SQL Lines needed by the user

Cloud Analytics & Automation Pipeline

From ad platforms & databases to live dashboards — fully automated

🔴 Problem

Marketing data lived in scattered sources — ad platforms, spreadsheets, and databases — outgrowing spreadsheet limits and burning hours on manual CSV exports and reconciliation.

🟢 Solution

Architected a cloud pipeline on Google Cloud Platform — BigQuery as the warehouse, Colab Enterprise and MySQL for processing, surfaced in Looker Studio — automated end-to-end on a daily schedule.

Ingestion Layer
Google Ads
Google Ads
Meta
Meta Ads
Processing Layer
Python Pandas
Processing — Colab Enterprise
API Extraction
Data Cleaning
Colab Enterprise
Storage Layer
BigQuery
BigQuery + MySQL
Data Warehouse
MySQL Sources
Scheduled Queries
Automation & UI Layer
Apps Script
Automation Hub
Trigger Logic
Anomaly Alerts
📊
Looker Studio
Live Dashboards
Reporting
Feedback Layer (Auto-Bid Adjustments & Alerts)
10–15 hrs Saved / week / person
5M+ Rows processed daily
6 AM Auto-sync every day

Stack: GCP · BigQuery · Colab Enterprise · MySQL · Looker Studio · Python · Apps Script  ·  Clients: Amazon MX Player, Hyugalife, Nutrabay, MillD, Hi-Robin

Read the Full Blog
📊

E-Commerce Growth Dashboard

Live simulated reporting for an Indian retail client

An interactive, automated dashboard pulling simulated data from Meta and Google Ads, calculating blended ROAS, Spend, and Revenue in real-time. Try hovering over the charts below (Built with Plotly.js).

Spend (30d)
₹1,24,500
Revenue
₹4,85,200
Blended ROAS
3.90x
CAC
₹345
CTR
1.84%
Conversions
1,406
-34% Reporting Time
0 Manual Exports

Marketing & Data

Live updates directly from my LinkedIn profile.

Professional credentials

Validated expertise in marketing, AI, and e-commerce through industry-leading programs.

🤖

AI-Powered Modern Marketing Specialization

Coursera · Feb 2026 · 17 Courses
Verify ↗

Courses included in this specialization:

  1. Boost Engagement: Optimize AI Content Performance
  2. Optimize Sales with AI E-commerce Analytics
  3. Analyze AI to Amplify Brand Success
  4. Automate AI Lead Nurturing & CLV Analysis
  5. AI for Brand Visibility
  6. Optimize Content with AI for SEO
  7. Generate Personalized Content with AI Prompts
  8. AI Prompts for SEO Growth
  9. Generate Visuals for A/B Testing Success
  10. Analyze and Create Your AI Marketing Plan
  11. Project Planning: Schedule, Budget, Deliver
  12. Analyze AI SEO & Conquer Competitors
  13. Visualize & Optimize Your Marketing Spend
  14. Match Personas: Craft Engaging AI Content
  15. Analyze GA4: Fix Your Data
  16. Analyze & Optimize Your AI Visibility KPIs
  17. Analyze AI SEO Data for Impact
🔍

Google Digital Marketing & E-commerce

Google via Coursera · May 2025 · 7 Courses
Verify ↗

Courses included in this program:

  1. Foundations of Digital Marketing and E-commerce
  2. Attract and Engage Customers with Digital Marketing
  3. From Likes to Leads: Interact with Customers Online
  4. Think Outside the Inbox: Email Marketing
  5. Assess for Success: Marketing Analytics and Measurement
  6. Make the Sale: Build, Launch, and Manage E-commerce Stores
  7. Satisfaction Guaranteed: Develop Customer Loyalty Online

My toolkit

Click any skill to learn more about my expertise.

📢 Marketing

Meta Ads
Managed large-scale Meta campaigns (Facebook & Instagram) across AAA, Advantage+ and custom audiences for brand and performance objectives.
Google Ads
Hands-on experience running Search, Pmax, UAC, and Demand Gen campaigns with budget optimization and bid strategies.
Search
Keyword research, ad copy optimization, and quality score improvement for Google Search campaigns.
Pmax
Google Performance Max campaign setup and optimization across all Google inventory channels.
UAC
Universal App Campaigns for driving app installs and in-app conversions at optimized CAC.
Demand Gen
Visual-first demand generation campaigns on YouTube, Discover, and Gmail to drive awareness and consideration.
AAA
Meta's Advantage+ App Ads for automated creative and audience optimization at scale.
Performance Marketing
End-to-end performance campaign strategy — from audience targeting to creative testing to CAC reduction.
E-Commerce
Product feed optimization, shopping campaigns, and conversion funnel analytics for e-commerce brands.

📊 Data & Dashboards

Python
Scripting for data processing, API integrations, custom automation pipelines, and dashboard backends.
Pandas
Data wrangling, transformation, and analysis for large-scale marketing datasets.
NumPy
Numerical computations and array operations for performance analytics calculations.
Plotly
Interactive data visualizations and charts for stakeholder dashboards and reports.
Streamlit
Building custom web-based analytics dashboards with real-time data refresh capabilities.
SQL
Querying databases, building data pipelines, and extracting campaign performance metrics.
BigQuery
Data warehousing and large-scale SQL analytics on GCP — partitioned tables, scheduled queries, and pipelines beyond the spreadsheet 10M-cell limit.
Google Cloud (GCP)
Building and running cloud data workflows across BigQuery, Colab Enterprise, and scheduled automation on Google Cloud Platform.
Colab Enterprise
Notebook-based data analysis and automation on GCP — connecting to BigQuery and MySQL for processing and reporting.
MySQL
Relational database querying and modelling — extracting and joining marketing and CRM data for analytics pipelines.
Looker Studio
Creating automated, self-refreshing marketing dashboards (formerly Google Data Studio) connected to BigQuery, Google Ads, and Sheets.
Data Visualization
Translating raw data into compelling visual stories that drive business decisions.

🤖 AI & Automation

Agentic AI Skills
Engineering agentic skills for in-product AI agents — e.g. authoring skill definitions that improved accuracy for Root Cause Analysis and creative analysis on Maino's platform.
AI Agents
Designing and improving AI agents that autonomously run performance-marketing operations like RCA and elemental analysis of video & static creatives.
Custom GPT Training
Training AI models on marketing data to generate automated insights, reports, and recommendations.
Workflow Automation
End-to-end automation of reporting pipelines, data collection, and performance alerting systems.

🛠️ Tools

VS Code
Primary development environment for Python scripting, web development, and automation projects.
Google Sheets
Advanced formulas, pivot tables, and Apps Script automation for campaign data management.
MS Office
Excel-based analysis, PowerPoint presentations, and Word documentation for stakeholder deliverables.
Looker Studio
Google's BI tool for creating interactive dashboards with multi-source data connectors.

Academic background

🎓

B.Tech in Electronics & Telecommunication Engineering

Vishwakarma Institute of Technology, Pune

2021 – 2025 CGPA: 8.84 President @ The Investment Forum · Coordinator @ E-Cell

Academic Achievements

🔬 Patent

Wireless Controlled Drainage Cleaning Robot

Issued: November 24, 2023 Application No: 202321068719 IoT · Robotics · ESP32
📑 Publication

Automatic Number Plate Detection and Recognition

Publisher: Springer Nature Published: May 27, 2025 Computer Vision · Automation

Let's build
something great

I'm always open to discussing new opportunities, marketing challenges, or just having a chat about data and automation.