Vansh Kachhwal

Product Manager

New Delhi, Delhi, India3 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Expert in data infrastructure and machine learning.
Proven track record in optimizing data solutions.
Strong analytical skills with a focus on finance.

Stackforce AI infers this person is a Data Science and Machine Learning specialist with a focus on financial data solutions.

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Skills

Core Skills

Data InfrastructureApisData ScienceMachine LearningNatural Language Processing

Other Skills

3D point cloud generationBERTVariational Auto Encoderalgorithmsanalytical experiencedata distributiondeep learningfinancefinancial dataimputation techniquesparallel computationscalable solutionssemantic analysissentiment analysis

About

I am currently a Member Technical at the D.E. Shaw Group, with a strong focus on finance, data infrastructure, data science, algorithms and machine learning. My work reflects my passion for these fields, driving innovation and efficiency in my projects.

Experience

The d. e. shaw group

2 roles

Member Technical

Promoted

Jun 2024 – Present · 1 yr 9 mos · Hyderabad, Telangana, India · On-site

DESIM Data Developer – Specializing in data infrastructure projects focused on optimizing and streamlining APIs for fundamental and technical datasets, enhancing the overall analytical experience

data infrastructureAPIsanalytical experienceData Infrastructure

Quantitative Developer

May 2023 – Jul 2023 · 2 mos · Hyderabad, Telangana, India · On-site

Worked on implementing scalable solutions for imputing Large Scale Generic Data
Devised techniques to detect Missing Not at Random Financial Data
Implemented advanced, robust, and convenient imputation APIs for users to impute large-scale data, enhanced performance using parallel computation
Worked on Compustat, WorldScope, CRS and 13F fillings datasets

scalable solutionsimputation techniquesparallel computationfinancial dataData ScienceMachine Learning

Devclub iit delhi

3 roles

Coordinator

May 2023 – Jun 2023 · 1 mo

Executive

Jun 2022 – May 2023 · 11 mos

Developer

Jun 2021 – Jul 2022 · 1 yr 1 mo

Rendezvous

Coordinator

Jan 2023 – Mar 2023 · 2 mos

Board for student welfare (bsw), iit delhi

Student Mentor

Jun 2022 – May 2023 · 11 mos

University of cambridge

Research Intern

May 2022 – Jul 2022 · 2 mos · Cambridge, England, United Kingdom

Extended 3D point cloud generation with Continuous Normalizing Flows to generate "Part-Aware Point Sets". Based on a Variational Auto Encoder framework that maximizes the ELBO loss to approximate data distribution. Formulated a two-level hierarchy of distributions - distribution of shapes and distribution of points given a shape.

3D point cloud generationVariational Auto Encoderdata distributionData ScienceMachine Learning

Unsw

Research Intern

May 2022 – Jul 2022 · 2 mos · Sydney, New South Wales, Australia

Compared Selected translations of the Sermon of the Mount (Matthew 5-7) using sentiment and semantic analyses. Used SenWave COVID-19 dataset for tuning state-of-the-art deep learning based model known as bidirectional representations from transformer (BERT). Used novel sentence embedding models to provide semantic analysis for selected chapters, verses across translations. Currently, writing a research paper to publish results.

sentiment analysissemantic analysisdeep learningBERTNatural Language ProcessingMachine Learning