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meghashree_ym

Meghashree YM

@meghashree_ym

Data Scientist : Machine Learning, Forecasting, Recommendations

Índia
Inglês, Hindi, Canarim, Telugu
Algumas informações são exibidas no idioma inglês.
Sobre mim
I help businesses stop guessing and start deciding with data — actual outcomes, not just models. Senior Data Scientist | 6+ years at Citi, Falabella & Delhivery across Banking, Retail & Logistics. What I've delivered: → Recommendation engine: +3.8% CTR, +1.2% purchases → Inventory optimisation: +0.3% revenue → Automation: 2 business days → 30 minutes → Forecasting, churn & capacity planning in production → Web scraping, automation & OCR pipelines Python | SQL | GCP | Docker | Scikit-learn | Selenium | OCR If you have a data problem, let's talk.... Saiba mais

Habilidades

m
meghashree_ym
Meghashree YM
offline • 

Conheça meus serviços

Consultoria em data analytics
I will transform your business data into actionable insights
A partir deUS$ 35 /projetoMais detalhes
Análise de Séries Temporais
I will forecast your sales, demand, revenue to improve business decisions
A partir deUS$ 90 /projetoMais detalhes

Portfólio

Experiência profissional

Citibank_N.A.

Senior Data Scientist

Citibank N.A. • Período integral

Apr 2025 - Present • 1 yr 1 mo

1. Built a Retrieval-Augmented Generation (RAG) system using LangChain to assist fraud operations teams in handling inbound customer calls regarding frauds like Account Takeovers, Transaction Fraud, Phishing etc 2. Built FTE and capacity planning forecasting models for banking operations 3. Built Selenium automation pipeline to fetch operational records → reduced turnaround from 2 business days to 30 minutes

Falabella_Colombia

Senior Data Scientist

Falabella Colombia • Período integral

Nov 2023 - Apr 2025 • 1 yr 5 mos

1. Built recommendation engine (popular, trendy , similar ,complementary & Buy It Again) → +3.8% CTR, +1.2% purchase rate 2. Developed On-Shelf Availability system using Normal, Binomial & Poisson distributions for inventory management→ +0.3% revenue 3. Built demand forecasting pipelines deployed on GCP (Cloud Run, Cloud Scheduler, Flask) running automatically in production 4. Conducted A/B testing and hypothesis testing to validate model impact 5. Full ML pipeline: data collection, EDA, feature engineering, dimensionality reduction, model tuning, cross-validation, evaluation

Data Scientist

Delhivery • Período integral

May 2019 - Nov 2023 • 4 yrs 6 mos

Worked on demand forecasting and operational analytics Built predictive models for pricing and profitability Supported capacity and cost forecasting initiatives