“Eshita was a terrific hire and contributor as a fast-growing software engineer throughout her time at Thuuz, and I would be happy to work with her in any company. She took on some very significant projects, ranging from adding new leagues and features to our backend to being a primary engineer on the Winter Olympics backend for our NBC Sports Scores application, which was the official results app for NBC for that event. She went the extra mile on this project as virtually every event (~100) involved nuances that required special handling due to either the event rosters, scoring, or data format. The whole team had confidence in her on this and all of the other projects as she is a fast learner and thrives on building up her skill set and seeking out new challenges. She was effective in communicating with the larger Engineering team, Product, and our counterparts at NBC whenever she ran into issues, and she took initiative in creatively solving the problems that came her way. I hugely value ownership and initiative, and she completely demonstrated these traits throughout her time at Thuuz. She also has a great attitude, is ambitious, and is a pleasure to work with.”
Eshita Thakkar
Mountain View, California, United States
963 followers
500+ connections
About
I am an engineering leader with experience in building strong and passionate teams. I…
Experience
Education
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Hackbright Academy
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Hackbright academy is an accelerated software engineering fellowship in fundamentals of computer science and modern web development.
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Mixed Signal circuit design
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Licenses & Certifications
Projects
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Interview Scheduler Slackbot
- Present
Developing a slackbot in Python to help schedule an interview with me. The bot smartly provides open time slots from my calendar to the recruiter managing appropriate intervals between appointments.
API: Slack real time messaging api
Tech stack: Python, Slackclient library
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Custom Movie Advisor
A custom movie recommendation Engine that suggests you movies as per your taste using machine learning algorithms. In place of ratings based feedback from users, it provides simple choice based questions using movie genre information and other users inputs.
API: Guidebox, OMDb
Tech stack: Python, Flask, Jinja, PostgreSQL, SQLAlchemy, k means clustering algorithm, scikit-learn, bcrypt
Front-End: AJAX,Javascript, JQuery, Bootstrap, HTML/CSS, JQuery multiselect widget
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Transistor level chip design of an engine controller for a 12 cylinder 6 speed car
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Languages
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English
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Hindi
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Recommendations received
5 people have recommended Eshita
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