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meghashree_ym

Meghashree YM

@meghashree_ym

Data Scientist : Machine Learning, Forecasting, Recommendations

India
Engels, Hindi, Kannada, Telugu
Sommige informatie wordt in het Engels weergegeven.
Over mij
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.... Lees meer

Skills

m
meghashree_ym
Meghashree YM
offline • 

Bekijk mijn diensten

Data Analytics hulp en advies
I will transform your business data into actionable insights
VanafUS$ 35 / projectMeer informatie
Tijdreeksanalyse
I will forecast your sales, demand, revenue to improve business decisions
VanafUS$ 90 / projectMeer informatie

Portfolio

Werkervaring

Citibank_N.A.

Senior Data Scientist

Citibank N.A. • Fulltime

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 • Fulltime

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 • Fulltime

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