R

Rahul Y.

AI Researcher

Bhadohi, Uttar Pradesh, India9 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in quantitative trading and algorithmic strategies.
  • Proficient in big data analytics and machine learning.
  • Strong academic background in mathematics and statistics.
Stackforce AI infers this person is a Quantitative Researcher specializing in Algorithmic Trading and Data Science.

Contact

Skills

Core Skills

Quantitative TradingAlgorithmic TradingData ScienceBig DataPredictive AnalyticsPredictive Modeling

Other Skills

Apache SparkBayesian statisticsC++Data AnalysisData MiningEconometric ModelingHadoopLaTeXLinuxMachine LearningMicrosoft ExcelPowerPointRSQLTime Series Analysis

About

Experienced quant researcher with demonstrated history of working in the medium frequency algorithmic trading and skilled in Python , Scala and Spark. Strong research professional with a B.S-M.S(Dual) focused in Mathematics and Statistics from Indian Institute of Technology, Kanpur.

Experience

Prop trading firm

Quantitative Researcher

Mar 2018Present · 8 yrs · India

Quantitative TradingAlgorithmic Trading

Fuzzy logix

Associate Data Scientist

Jun 2016Feb 2018 · 1 yr 8 mos · Bangalore India

  • I was involved in development of DB Lytix™ Algorithms on Apache Spark platform. DB Lytix™ is a Fuzzy Logix’s flagship in-database analytics product. It's a library of mathematical and statistical functions widely used in data mining and big data analytics.
  • Along with that I researched on new algorithms, kept up the existing ones with latest changes with ML world and even improved efficiency of few ones based on Spark Internal Architecture.
Apache SparkData MiningBig DataMachine LearningData Science

Centurylink

Predictive Analytics Intern

May 2015Jun 2015 · 1 mo · Gurugram, Haryana, India

  • Objective: Effective targeting of customers for Promotions in the “Omni channel” Retail Industry.
  • Generated channel wise data then integrated to get Omni Data and formed modelling strategy based on classification algorithm.
  • Substantiated profitability by netting revenue calculations & prepared visualization tool for customers purchase behavior analysis.
  • Demonstrated effectiveness of “Designed Strategy” on simulated data and encouraged retailers to adopt Omni-channel retail.
Data AnalysisPredictive AnalyticsSQLData Science

Gyandata pvt ltd

Predictive Modelling Intern

May 2014Jul 2014 · 2 mos · Greater Chennai Area

  • Objective: Building predictive models between green sand measurements and rejection percentages of casting in foundry industries.
  • Studied the problem with exploratory data analysis, proposed 3 modelling approaches based on class of Predictive algorithms.
  • Finalized Fuzzy Multiple Model Clustering (FMMC) and ensemble of Kernel PCA(Principal Component Analysis) with Linear Regression based on the RMSE.
Predictive ModelingData AnalysisData Science

Education

Indian Institute of Technology, Kanpur

B.S-M.S(Dual) — Mathematics and Statistics

Jan 2011Jan 2016

Jawahar Navodaya Vidyalaya - JNV

High School

Jan 2003Jan 2010

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