Data · Analytics · ML

Sneha M S

Data Analyst · Business Analyst · ML & AI Analytics

"Turning raw data into decisions that drive real business impact"

Trivandrum, Kerala, India · Open to India & UAE Opportunities

Introduction

About Me

I'm a Data Analyst with a passion for transforming messy, real-world data into clear insights that drive decisions. I specialize in end-to-end analytics — from building ETL pipelines and SQL data models to crafting executive-level BI dashboards that non-technical stakeholders can actually act on.

Beyond analytics, I'm deeply drawn to Machine Learning and AI — particularly applied ML for forecasting, NLP-powered tools, and the growing space where LLMs meet business intelligence. I enjoy building systems that don't just report what happened, but predict what's next.

I hold an MSc in Computer Science (Data Analytics) from Rajagiri College of Social Sciences (2026) and am a SAP Hackfest 2025 Top 100 Nationwide Finalist for MindTrack — an LLM-powered mental wellness tracker.

🏪

Outlets — Analytics Coverage

📉

~70%

Reduction in Manual Reporting

🎯

98%

Claims Processing Accuracy

🏆

Top 100

SAP Hackfest 2025 Nationwide

Capabilities

Skills & Tools

🐍

Python & ML

Python Pandas Scikit-learn NumPy Matplotlib Seaborn Streamlit Linear Regression Random Forest Gradient Boosting

📊

BI & Visualization

Power BI Tableau DAX Google Sheets Excel Looker Studio

🗄️

Data & Databases

SQL PostgreSQL Azure SQL ETL Pipelines JSON-RPC API Star Schema

⚙️

Platforms & Tools

Odoo ERP OpenCV DeepFace Hugging Face Git K-Means Hierarchical Clustering

Career

Work Experience

Data Analyst

Current

Pandhal Global Gourmet Pvt. Ltd.

Apr 2026 – Present · Trivandrum, Kerala

Built end-to-end automated sales pipeline: Odoo ERP → Python ETL → Power BI across all 17 outlets
Developed ML demand forecasting models (Linear Regression, Random Forest, Gradient Boosting) for inventory optimization
Delivered FY 2024–25 vs 2025–26 comparative dashboards with MTD/YTD KPIs and SSSG metrics for COO-level review
Led menu engineering framework using volume/margin quadrants, ABC revenue tiers, and velocity tiers
Conducted operational productivity analysis across brands to support strategic decision-making

Data Analyst Intern

Jan 2025 – Mar 2026

Pandhal Global Gourmet Pvt. Ltd.

Jan 2025 – Mar 2026 · 15 months · Trivandrum, Kerala

Built MIS dashboards in Google Sheets reducing manual reporting effort by approximately 70%
Analyzed POS transaction data across 16 outlets, uncovering 30–50% week-on-week revenue variances
Developed B2B daily sales reporting system with dynamic date-filtered views in Excel
Supported COO with a 10-slide annual business review covering financial and operational challenges
Architected a production-level Power BI solution design with a six-week implementation roadmap

Claims Consultant

Nov 2022 – May 2024

Allianz Services

Nov 2022 – May 2024 · 19 months

Processed 1,000+ insurance claims with 98% accuracy, consistently meeting SLA targets
Reduced average claim turnaround time by 20% through process analysis and workflow optimization
Coordinated cross-functional communication between adjusters, policyholders, and management

Portfolio

Projects

🧠

ML Demand Forecasting & Sales Analytics System

MSc Final Project

End-to-end analytics system built on real F&B data with four objectives: MIS reporting, menu engineering, operational productivity analysis, and ML demand forecasting across multiple models.

Python Scikit-learn Linear Regression Random Forest Gradient Boosting Power BI

💚

MindTrack — Mental Wellness & Productivity Tracker

⭐ SAP Hackfest 2025 — Top 100 Nationwide

LLM-powered wellness tracker with a recruiter-facing dashboard. Tested with 50+ freelancers. Combines mood analytics with productivity metrics to surface actionable mental health insights.

Python Streamlit Hugging Face LLMs NLP

👁️

AI-Powered Smart Attendance System

Automated face-recognition attendance system achieving 95%+ detection accuracy and an 80% reduction in attendance errors over manual methods. Deployed for real-world validation.

Python DeepFace OpenCV Computer Vision

🎬

Movie Recommendation System

Clustering-based recommendation engine on 5,000+ records, achieving a 15% improvement in recommendation accuracy over baseline. Compared K-Means vs Hierarchical Clustering approaches.

Python K-Means Hierarchical Clustering Pandas

Academic Background

Education

🎓

MSc Computer Science (Data Analytics)

Rajagiri College of Social Sciences, Kochi

2024 – 2026

Final project: ML-based demand forecasting system for Pandhal Global Gourmet Pvt. Ltd.

📚

BSc Physics & Computer Application

Christ Nagar College, University of Kerala

2018 – 2021

Foundation in computational methods, physics, and applied computer science.

Recognition

Achievements

🏆

SAP Hackfest 2025 Finalist
Top 100 Nationwide — MindTrack LLM Wellness App

500+

School Leader — led a student body of 500+ as School Pupil Leader

♀

Women's Club Secretary — organized campus-wide events and initiatives

🔗

Placement Coordinator — bridged industry and academia for peer placements