Yash Tiwari

Associate Consultant

Mumbai, Maharashtra, India5 yrs 1 mo experience
Highly Stable

Key Highlights

  • Expert in quantitative finance and algorithmic trading.
  • Proven track record in data analysis and machine learning.
  • Awarded Pre-Placement Offer for exceptional project contributions.
Stackforce AI infers this person is a Fintech professional with strong expertise in quantitative analysis and data-driven decision making.

Contact

Skills

Core Skills

Data AnalysisJava

Other Skills

Algorithmic TradingApache SqoopC++Machine LearningPython (Programming Language)Quantitative FinanceSparkStatistics

Experience

Alphagrep

2 roles

Senior Associate Quant Researcher

Promoted

Oct 2022Oct 2024 · 2 yrs

Associate Quant Researcher

Sep 2021Sep 2022 · 1 yr

Estee

2 roles

Senior Strategy Analyst

Promoted

Apr 2021Aug 2021 · 4 mos

Strategy Analyst

Jun 2019Mar 2021 · 1 yr 9 mos

Citi

Internship

May 2018Jun 2018 · 1 mo · Pune Area, India

  • Worked with Basel Risk reporting Team
  • ◦ Automated ingestion of data from Relational Database to HDFS using Apache Sqoop for efficient transfer of bulk data
  • ◦ Orchestrated flow of data quality check by ensembling pre-existing internal softwares for initiating & scheduling Spark jobs
  • ◦ Implemented a scheduling method in Java for preparing the latest view and archiving the previous run data on HDFS
  • Awarded Pre-Placement Offer from CitiCorp for exemplary contribution in the project
Apache SqoopSparkJavaData Analysis

Silversparro technologies pvt. ltd.

Deep Learning Intern

May 2017Jul 2017 · 2 mos

  • ◦ Implemented and compared a specialized scene text detector 'TextBoxes' with other general purpose object detectors
  • ◦ Ensembled TextBoxes with a text recognizer CRNN to create an end-to-end model achieving 86% accuracy
  • ◦ Designed a tool to automate & efficiently create deep learning annotation data, signifcantly reducing turnaround time

Education

Indian Institute of Technology, Delhi

Dual Degree(BTech + MTech) — Mathematics

Jan 2014Jan 2019

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