Full Stack Data Scientist, Calculus and Probability As Core

Bhuvnesh Rai - experienced in ontology, simulation, predictive control, computer vision, NLP, operations research, quantitative finance, geospatial data, product market fit, go to market strategy and asking questions that start with “WHY” ********.****@*****.***, +91-987-***-****

Skills: Experiment Design, Python, Numpy, Pandas, Flask, PySpark, PyTorch, Docker, MongoDB, Redshift, AWS, Gitlab, Airflow EXPERIENCE

Wheelseye Technology India Pvt Ltd, Gurgaon — Data Scientist (core team member) July'18 - PRESENT

● Data Products:

PD Prediction and Simulation based Credit Risk Management and Underwriting Platform @Credit

Route Optimization and Automatic Vehicle Allocation System for Retention @B2B SaaS

Contract assessment using NLP for auction bidding, Web scraping and NLP based Demand Funnel, GPS data based graph algorithms for Supply-Demand Matching @Marketplace/@Fuel

Computer Vision and NLP based KYC Process Automation @Fastag

● Architecture and Infra:Airflow, AWS EC2, MongoDB and Postgres/Redshift, Gitlab based Pipeline Architecture; Worked with all business units to build robust data generation, annotation and management processes; and built industry level knowledge graph to capture all variables across processes and products

● Client Management: Data driven SLA consulting for client business partners including Flipkart, Amazon, Delhivery and Udaan; and risk management platform onboarding of Banks and NBFCs

● Operations: Optimized installer count from 1000 to 400, and field sales executives’ productivity using feature engineering, segmentation, A/B testing, spatial analysis and prediction

● Management: Built and mentored a team of 10 data analysts and data scientists over two years, deployed across product, marketing and operations; helping ride the journey from 3k to 1 million trucks Simply Wall St,Sydney — Lead Quantitative Analyst (core team member) October’15 - September’17

● Model Improvement: Consistent intrinsic and relative equity valuation model and scorecard across 75 countries, using mean and density based clustering, along with regression techniques

● Growth Channel: Dynamic AI content, using NLP, prediction, knowledge-driven and reasoning-based frameworks, accepted by Yahoo and Google as financial news publisher

● Management:Trained two quantitative analysts to manage growth and product, from 20k to 1 million users US Equity (contract-based), Delhi NCR — Quantitative Equity Analyst September’13 - August’15

● Sector and industry specific fundamental analysis, factor analysis to identify momentum and mean reversion trades Neuronimbus, Delhi NCR — Data Analyst, Growth Strategy June’12 - July’13

● Worked with early stage e-commerce startups to identify target audience and customer acquisition strategy

● Branding and pricing strategy roadmaps with focus on product differentiation and competitive positioning The Smart Cube,Delhi NCR — Forecasting Analyst September’11 - May’12

● Simulated impact of geo-political events on commodity prices: Russia’s Accession to WTO; El-nino Beroe Inc, Chennai — Financial Risk Analyst July’11 - September’11

● Supplier financial risk scorecards using Bloomberg, Factiva, Dun & Bradsheet

● Regression and Anova analysis to forecast increase in procurement cost for multiple Fortune 500 companies EDUCATION: B.E, Information Technology: Netaji Subhas Institute of Technology, DU May’07 - July’11

● Achieved a GPA of 6.7, Cleared CFA Level-1 in final year, driven by interest in economics and finance

● Ranked among top 0.5% in AIEEE,received fellowship offer at ISRO and IISc, post school

● Certificate in Financial Engineering, Indian Institute of Quantitative Finance (ongoing)