Palak Agarwal

Software Engineer

Stockholm, Sweden8 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Strong background in algorithms and computer architecture.
Hands-on experience with data science and quantitative research.
Published research and patents in applied computer science.

Stackforce AI infers this person is a Data Science and Quantitative Research expert with a focus on algorithmic strategies.

Contact

palak8669@gmail.com LinkedIn

Skills

Core Skills

Quantitative ResearchFinancial Data AnalysisData ScienceRecommendation SystemsResearchGame TheoryBusiness StrategyAlgorithm Design

Other Skills

AlgorithmsAnalytical skillsBashCC++Collaborative filteringComputer ScienceData analysisDjangoGitHTMLJavaScriptLaTeXLeadershipMathematical transformations

About

A graduate of IIT Kanpur, I have dabbled in an eclectic range of fields of CS - from program analysis, machine learning to game theory. Using my background in algorithms and computer architecture, I have picked up a cohesive understanding of engineering and technical dynamics through my internships at Adobe and ShareChat. Apart from hands-on experience with tech and development, I have also explored research topics leading to peer-reviewed publications and patents. I am excited by the prospects of working at the interface of engineering and applied projects, with cutting edge advancements in computer science, in general. As a Quantitative Researcher at WorldQuant Research, I have been working with extensive financial data and performing mathematical and analytical transformations for generating efficient strategies. As a result of working in a challenging professional environment for quite some time, I have developed strong teamwork skills, honed my focus to deliver on tight timelines and picked up essential communication dexterity to enable strong performance.

Experience

8 yrs 11 mos

Total Experience

4 yrs 5 mos

Average Tenure

6 yrs 4 mos

Current Experience

Google

Software Engineer

Feb 2020 – Present · 6 yrs 4 mos · Stockholm, Sweden

Worldquant

2 roles

Senior Quantitative Researcher

Promoted

Jan 2019 – Feb 2020 · 1 yr 1 mo · Mumbai Area, India

Extensive coding in C++ to make strategies across all major regions and in various asset classes
that capture market inefficiencies
Working in Intraday space for tracking market changes at high frequency
Building strategies to predict market movements using data from various sources

C++Mathematical transformationsAnalytical skillsQuantitative ResearchFinancial Data Analysis

Quantitative Researcher

Jul 2017 – Jan 2019 · 1 yr 6 mos · Mumbai Area, India

Sharechat

Data Science Intern

May 2017 – Jun 2017 · 1 mo · Bengaluru Area, India

Responsible for overhauling the existing recommendation engine for news feed, resulting in superior performance on various engagement and experience metrics for the users of ShareChat
Worked with asynchronous nodejs queries to extract the relevant information for each user and used them to train collaborative filtering models

Node.jsCollaborative filteringRecommendation systemsData ScienceRecommendation Systems

Adobe

Research Intern

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

Worked on recommender systems for Behance, a social media platform for artists
Studied use cases to come up with relevant metrics for improving the current recommendation
engine
Used various collaborative filtering algorithms like matrix factorization, item-item similarity, user-
user similarity, popularity-based systems for comparison
Improved upon the prior art by including diversity as a factor in the recommendation engine
Incorporated personalization in the engine

Collaborative filteringRecommendation systemsData analysisResearchRecommendation Systems

Prof. vimal kumar, applied game theory

A game theoretic analysis of Amazon’s Business model

Jan 2016 – Apr 2016 · 3 mos · IIT Kanpur

Studied Amazon’s current business strategy and used game theory to understand the reasons
behind it
Considered 2 major competitors, Alibaba and EBay, and their strategies for the analysis
Compared the Nash Equilibrium of this game with the real life situation and found it to be
consistent with the solution of the game

Game theoryStrategic analysisGame TheoryBusiness Strategy

Prof. praveen paruchuri

Stackelberg games and their applications

May 2015 – Jul 2015 · 2 mos · IIIT Hyderabad, Hyderabad

Learned concepts related to Game theory and Stackelberg games in particular
Two particular applications of Stackelberg games were studied, one related to vaccine design and
another related to improving security at physical locations such as airports
Learned a variety of technical concepts including Simulated Annealing, Linear Programming and
Mixed Integer Programming that were used to design algorithmic solutions to the Stackelberg
Games
Implemented the above algorithms using Python and its associated Linear Programming package

Game theoryAlgorithm designGame TheoryAlgorithm Design