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Electrical Engineering Data

November 22, 2018

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PALASH JAIN Indian Institute of

B.Tech Electrical Engineering Technology Roorkee

UG(IV Year 1st Semester)

Contact: 773-***-****

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Year Degree/Examination Institution/Board CGPA/Percentage 2018 B.Tech. IV Year IIT Roorkee 6.71

2014 Twelfth DAV Public School, Kota 86.8 %

2012 Tenth Ryan International School 9.6


Quantitative Analyst Intern iRageCapital Advisory LLP May, 2018 – July, 2018

Worked on a project to infer and exploit lead-lag relationship b/w two asset classes created due to difference in liquidity.

Designed a scalable API framework to statistically infer lead-lag between any two instruments by using several techniques such as Granger Causality test, Co-integration, Hayashi-Yoshida criterion and so on, at varying levels of granularity in time.

Extensively researched on price impact of order-sign flow, implementing price impact models as proposed in the seminal papers of Fabrizio Lillo and JP Bouchad, to predict transaction-to-transaction price movements with over 90% accuracy at tick by tick level.

Propagator kernels were calibrated using spectral methods of Signal Processing on 10 day SBIN futures tick-by-tick data, of which a voting ensemble was created to predict (1, 0, -1) indicating an up-move, no-significant move and down-move respectively Quantitative Research Intern Aggois Business Solutions Nov, 2017 – Jan, 2018

Formulated an indigenous mechanism to calculate premiums for the exotic forwards using Black Scholes and stochastic volatility modelling using ensemble of models from the GARCH universe leading up to the yields of about 25%.

Created a library of technical indicators such as RSI, MACD, Bollinger bands for analysing price movement of unlisted commodities.

Quantified risk using time-series analysis of historical returns for forwards of different maturities using VaR and CVaR.

Designed a back-testing framework for the complete model using monte-carlo sampling and stress testing. Business Analyst Intern Jun, 2017 – Jul, 2017

Worked closely with the strategy team to plan market-capturing strategies aiming at CAs and sales tax professionals in NCR.

Targeting a niche market of CAs and bar associations, personally closed about 8 clients creating a value of Rs. 2 lacs to the firm.

Pioneered several events, educating attendees about the logistics of GST and how the product will be useful in such bureaucracy. Projects

Classifying brain states from EEG data using machine learning Aug, 2018 - present

The primary goal was to develop a classifier that can correctly identify whether a subject is visualizing a task that is familiar or unfamiliar

Secondary goals include providing insight into which brain regions and frequency bands associate with each of the respective classes.

If a deep learning approach is found to be viable, these insights may correspond to latent features found within the neural network Awards/ Scholarships/ Academic Achievements

Secured AIR 1537 in JEE-ADV '15 among 15 lac students appearing for the same.

Stood 1st among 100+ participants at Case study challenge organised by Shell India at Cognizance'16.

Stood 1st among 70+ teams at Quintessence, a centre-stage case study event at Cognizance'16 on cloud computing.

Stood 1st among 50+ teams at Albedo, a centre-stage case event at Cognizance’16

Stood 3rd at Abhigamyatva, a case study which thrived its participants to devise disaster mitigation for the disabled.

Officially invited as a delegate for the Asia Investment Banking Conference, 2017 Skills

Computer languages C/C++, Python

Software Packages Matlab, Ubuntu, Github

Additional courses taken Statistics (Harvard MOOC), Introduction to Machine learning (Georgia MOOC), Financial Theory

(MIT MOOC), Digital Control Systems (IIT Roorkee), Numerical Methods in Electrical Engineering Languages Known English (SRW), Hindi(SRW), French(RW) Positions of Responsibility and Co-curricular Head of Technical Affairs, ShARE IITR Chapter Aug, 2016 – May, 2017

Led the technical wing, a team of about 30 members, focussing on scientific and technical requirements within the organization.

Undertook several projects such as sentiment analysis for precision marketing, P2P lending as the future of finance, comparative study and suggestions for the Placement Cell at IIT Roorkee during my stint of three years with ShARE

Completed junior presentation on ‘Microgeneration: Going off the grid’ as a part of the consultancy project.

Represented IITR at a global level at ShARE World Seminar’17 at IIT Bombay, which saw participation from about 30 countries. Member, SDS Data Science Group

Was selected among 200 candidates based on skills in Probability and Statistics to be a part of the team.

Has conducted and attended workshops on various topics in Data Science including Naive Bayes, Markov processes etc. Editor, Watch Out News Agency Jul, 2015 – Sept, 2016

Was deployed in the news cell of the magazine, covering all significant happenings within the campus.

Covered a number of stories such as the plight of LGBTQ community within the campus, NSS events, college fests etc. Associate Mentor, Student Mentorship Program Jul, 2017 – Feb-2018

Mentored 6 freshmen on making the best of life at IIT, handling stress and dealing with various personal problems in a semester wide term as an Associate mentor under the Student Mentorship program led by the Director IIT Roorkee.

Selected on the basis of personal qualities in the third year itself as one of the youngest mentors in the team of SMP. Inter Bhawan Sports Festival 2016

Won gold at inter-bhawan football competition.

Won gold at inter-bhawan volleyball competition.

Have been a regular participant at institute marathons of 10 km slab.

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