Siddhant Thakur Email & Phone Number
Who is Siddhant Thakur? Overview
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Siddhant Thakur is listed as Quant Analytics Associate at JPMorganChase, a with 213060 employees, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Siddhant Thakur.
Siddhant Thakur previously worked as Associate, Performance Science at Detroit Tigers and Graduate Teaching Assistant at Texas A&M University. Siddhant Thakur holds Master Of Science - Ms, Computer Science, 3.87 from Texas A&M University.
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About Siddhant Thakur
As an Associate, Performance Science at Detroit Tigers, I apply my data science and machine learning skills to analyze and optimize the performance of the players and the team. I work with coaches, managers, and trainers to provide data-driven insights and recommendations that help improve the outcomes and efficiency of the training and game strategies.I am also a MSCS student at Texas A&M University, where I focus on Data Science and Machine Learning. I have a strong track record of delivering impactful projects and solutions in various domains, such as Data Engineering, Natural Language Processing, and Sports Analytics. I have also won the Smart India Hackathon 2020, a national-level competition that involved developing innovative solutions for social problems. My goal is to leverage my passion and expertise in technology to create positive impact through innovative products and services. I am especially interested in exploring the intersection of technology, sports, and video games, and the potential for technology-driven advancements in these fields. I would love to connect with you if you share my vision or want to discuss any of these topics.
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Siddhant Thakur work experience
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Associate, Performance Science
Current
Graduate Teaching Assistant
Graduate Teaching Assistant for CSCE 482 - Senior Capstone Design
Senior Grader
Senior Grader for CSCE 477/703 - Cybersecurity RiskSenior Grader for CSCE 411/629 - Design & Analysis of Algorithms
Grader
Grader for CSCE 402/702 - Law and Policy in Cybersecurity.- Facilitated evaluation of 6 essays and 3 exams on law and policies related to cybersecurity jobs defined by the NIST NICE framework in a class of 110 graduate and undergraduate students.- Maintained a high level of organization by effectively communicating deadlines and expectations to students.
Data Science Intern
Address Extraction for Dictionary Enrichment (Data Engineering)- Utilised the OpenStreetMap data and the OSMNx package to get additional addresses for each Network Element ID.- Included fuzzy matching in scripts to compare and add the new data to the pre-existing Airtel dictionary.- Enriched the dictionary by adding 15+ different localities and streets for 6 major cities in India.Parsing Residential Addresses for Plot Information (Natural Language Processing)- Built a parsing model for residential addresses over an open-source architecture, deepparse, to extract plot information from approximately 40000 residential addresses.- Optimised broadband feasibility across 2 metropolitan cities by deciphering highly unstructured addresses to estimate cost details.- Developed a regular expression approach to strictly adhere to plot information present in the addresses.
Data Science And Machine Learning Domain Head
- Mentored a batch of 12 students as the domain head & the teaching assistant for a research club named Gen-Y.- Designed a Manhattan LSTM (MaLSTM) network for automated subjective assessment correction of 100+ candidates in the Computer Science Engineering Department.- Devised an end-to-end pipeline consisting of an analytical panel to help the Fantasy Premier League managers to make informed decisions and choose from 560 premier league players.- Utilised web scraping to get data from the Football Reference website and Flask & Dash to build a web application with necessary visualization, and deployed the web app on Heroku.
Ds & Ml Team Member
- Selected to attend and work with the GDEs at the Google ExploreML Bootcamp held at Google campus in Hyderabad.- Secured a Top 3 position in the Gen-Y Lockathon NaN and developed a chatbot inside a medical app using Google Cloud’s DialogFlow to detect any specific symptoms and recommend solutions for it.- Implemented a random forest algorithm to predict weekly game winners of the National Football League and achieved an accuracy of 63% for the 2019 NFL regular season.- Published related blog on Medium explaining these basic concepts and the math behind it.- Expanded on Gradient Descent and Ordinary Least Squared as the two different approaches to find multiple linear regression coefficients.- Built a Linear Regression model in Python used to predict the weight of the person based on their height.
Software Engineering Intern
- Secured the First Position in SIH 2020 Software Edition- Worked as a team to solve the Bajaj Finserv Health problem statement of Digitization of Lab Reports.- Formulated a proof of concept recommendation engine providing suggestions, based on the different parameters in the lab reports, to more than 5,000 users seeking to maintain a healthy body.- Identified important features influencing a patient's sugar level and designed a logistic regression model providing an inference regarding whether a patient is at risk of Diabetes or Hypertension with a recall score of 0.74.- Deployed the classification models on AWS Lambda for serverless orchestration in the application.
Volunteer
- Participated in a Voting Awareness Generation program by NSS cell in our college.- Made posters generating awareness about traffic rules and their importance.- Participated in the National Voters Day program held on 25th January 2019.
Colleagues at JPMorganChase
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Harish Agarwal
Colleague at JpmorganchaseBengaluru, Karnataka, India
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David F.
Colleague at JpmorganchaseSan Jose, California, United States
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Ruth Oladeji
Colleague at JpmorganchaseLondon, England, United Kingdom
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Pupul Kolay
Colleague at JpmorganchaseMumbai, Maharashtra, India
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Jay Arandia, Phrn
Colleague at JpmorganchaseDasmariñas, Calabarzon, Philippines
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JB
Jeff Beamish
Colleague at JpmorganchaseWilmington, Delaware, United States
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Mike Paxson
Colleague at JpmorganchaseNewark, Delaware, United States
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Sudhakar Meda
Colleague at JpmorganchaseHyderabad, Telangana, India
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Debra Shackleton Antonangeli
Colleague at JpmorganchaseConcord, Massachusetts, United States
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EK
Emily Kovacs
Colleague at JpmorganchaseNorthport, New York, United States
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Siddhant Thakur education
Master Of Science - Ms, Computer Science, 3.87
Bachelor Of Technology - Btech, Computer Science Engineering, 3.9
Visiting International Student At Uw Madison, Statistics, 4
High School
Frequently asked questions about Siddhant Thakur
Quick answers generated from the profile data available on this page.
What company does Siddhant Thakur work for?
Siddhant Thakur works for JPMorganChase.
What is Siddhant Thakur's role at JPMorganChase?
Siddhant Thakur is listed as Quant Analytics Associate at JPMorganChase.
Where is Siddhant Thakur based?
Siddhant Thakur is based in New York, United States while working with JPMorganChase.
What companies has Siddhant Thakur worked for?
Siddhant Thakur has worked for Jpmorganchase, Detroit Tigers, Texas A&M University, Airtel X Labs, and Gen-Y.
Who are Siddhant Thakur's colleagues at JPMorganChase?
Siddhant Thakur's colleagues at JPMorganChase include Harish Agarwal, David F., Ruth Oladeji, Pupul Kolay, and Jay Arandia, Phrn.
How can I contact Siddhant Thakur?
You can use AeroLeads to view verified contact signals for Siddhant Thakur at JPMorganChase, including work email, phone, and LinkedIn data when available.
What schools did Siddhant Thakur attend?
Siddhant Thakur holds Master Of Science - Ms, Computer Science, 3.87 from Texas A&M University.
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