Kashyap Chetan Kotak Resume

1. Kashyap
Chetan Kotak
kashyap.kotak@ves.ac.in
+91 87798 98234 | +91 98696 18609
EDUCATION
BE (COMPUTER ENGG)
VES INSTITUTE OF TECHNOLOGY
8.85 CGPI
2017 | Mumbai, India
DIPLOMA (COMPUTER ENGG)
VES POLYTECHNIC
83.74%
2014 | Mumbai, India
SSC
WEES’ ENGLISH HIGH SCHOOL
91.45%
2011 | Thane, India
LINKS
Github:// KashyapCKotak
LinkedIn:// kashyap-chetan-kotak
SKILLS
PROGRAMMING
Over 5000 lines:
Java • SQL
Over 1000 lines:
HTML5 • PHP • CSS • Javascript • KERAS
Familiar:
Python, Tensorflow
HOBBIES
Programming
Singing
Learning new things
Reading about Space and Physics
Reading History & Spiritual books
EXPERIENCE
JP MORGAN CHASE & CO. | SOFTWARE ENGINEERING ANALYST
July 2017 – Present | Mumbai, India
• Involved in designing, building & enhancing a Reporting Application based on Gemfire
cache, AMPS & Pentaho from where thousands of regulatory, internal & client reports
will be generated. This new platform is being made as a part of decommissioning an old
Post Trade Processing Platform.
• Worked in a Kanban team for 6 months and completed various change requests on a
Trade Settlements Platform.
• Built many tools to automate existing manual processes to save time and allow for
additional validation for changes pushed into production to avoid errors, like Report
Regression Tool (Python), Message Regression for AMPS (Java), etc
PROJECTS
CRYPTOVIEW | (UNPUBLISHED) CRYPTOCURR. MONITORING WEBSITE
2018 | Thane, India
• Designed & Built, a full fledged Cryptocurrency monitoring website using
Javascript/Bootstrap/CSS (Frontend), PHP (Backend), MySQL (Database). featuring a
detailed dashboard with price predictions, multiple cryptocurrencies, multiple markets,
etc; personal/practice portfolio, news with sentiment analysis, ICO calendars, etc.
• The website built is fully responsive for any screen sizes, was optimised for load times
and was built taking care of UI design principles.
SEEINDARK | KERAS IMPLEMENTATION OF A RESEARCH PAPER: LEARNING
TO SEE IN THE DARK
Mar 2017 | New Mumbai, India
• Rewritten the official implementation by authors which was in legacy Tensorflow
(github.com/cchen156/Learning-to-See-in-the-Dark) to Keras which can be used to
greatly enhance images taken in low lights in less than 0.1 lux without needing a long
exposure shot with a stable camera.
• Trained the model on 25GB Bayer filter images and achieved great results.
TRADE SETTLEMENTS FAIL PREDICTOR | JP MORGAN CHASE & CO.
June 2019 | Mumbai, India
• Worked in a team of 4 in a 24 hours of Global Hackathon to create an application to
predict whether a trade will fail after its settlement cycle using Random Forest
technique of Machine Learning achieving a precision of 70% & our team finishing 3rd in
the office location.
MEDASSIST | RAIT BITCAMP 2017 (24 HOUR HACKATHON)
Mar 2017 | New Mumbai, India
• Created a health care WebApp in a team of 4 with features like Disease Prediction
from report readings using Machine Learning, finding & appointing nearby Doctors,
reviews, etc. Secured 2nd place and most innovative award.
AWARDS
2019 2nd Runner up in JP Morgan Global Hackathon for office
location.
2018 Key Contributor award in JP Morgan Chase for
team contribution.
2017 1st Runner Up & in RAIT BitCamp 2017 - 24 Hour Hackathon at
Most Innovative Solution DY Patil University for creating a health care sol.
2016 1st Runner Up in ProgrammersClub Algorithm2.0 intercollegi-
ate Hackathon for creating SOSFloods Web App.
2015 1st Runner Up in Intercollegiate Mission SQL competition in
TechnoVanza’15 in VJTI college.
2011 1st in District in interschool Chess championship.
Won several awards in School/College in Singing Competitions.
Distinction in Mathematics Talent Examination in School
Secured B Grade in Intermediate and Elementary Drawing Exam in school.