Jinit Sanghvi

Jinit Sanghvi

Analyst at Goldman Sachs | COEP's Best Outgoing Student 2021-2022

Bengaluru, Karnataka, India
3K followers 500+ connections

About

A budding entrepreneur, a tech enthusiast, and an ambitious go-getter with a special interest in Machine Learning and Data Sciences.
Has held multiple different positions in various organizations such as Goldman Sachs, Hewlett Packard, National University of Singapore, The Apprentice Project, etc.
Has worked on group projects involving NLP, Machine Learning, Deep Learning, Hadoop and Hive and also served as a lead for these projects.
Currently, my work involves Data Engineering, DataLake, Data Science, Machine Learning, and Backend Development.
Other interests include guitar playing and debating.

Activity

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Experience

  • Goldman Sachs Graphic
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    Pune, Maharashtra, India

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    Bengaluru, Karnataka, India

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    Singapore

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    Singapore

Education

  • COEP Technological University Graphic

    College of Engineering Pune

    BTech - Bachelor of Technology Computer Engineering

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    Activities and Societies: COEP's Data Sciences and Artificial Intelligence Club, COEP's Debate and Quiz Club, COEP's Football Team Experienced Guitar player with performances in events and gigs

    Majors in Computer Engineering and Minors in Mathematics (Financial Engineering)
    COEP's Best Outgoing Student (Overall) 2021-2022

Licenses & Certifications

Volunteer Experience

Courses

  • Computer Programming (C Programming)

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  • Data Structures and Algorithms

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  • Discrete Structures and Graph Theory

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  • Linear Algebra

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  • Macroeconomics

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  • Microeconomics

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  • Ordinary Differential and Multivariate Calculus

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  • Professional Communication

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  • Univariate Calculus

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Projects

  • Implementation of ext2fs

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    Implemented the ext2 file system in the xv6 operating system. Enabled coexistence of multiple file systems via Virtual File System. The implementation can take care of all basic file operations such as create, read, write, delete, etc.

    Other creators
  • Portal for Potential Startups Seeking Investments

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    Built a web application using Django and React that enables startups seeking investments to get in touch with potential investors. Features such as user creation, startup listing and filtering are implemented. To enhance the user experience, a Recommendation System and an in-built chat interface is also implemented.

    Other creators
  • Stock Prediction Using Sentiment Analysis and Historical Data

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    Led and worked on a group project involving NLP and Time Series Modelling to predict stock prices. An end to end project involving scraping data from scratch, training deep learning models, and finally deploying results using a web application built using Django and React. Project done under the patronage and guidance of Credit Suisse.

  • Land Cover Classification

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    Used Machine Learning algorithms like SVMs, RFs, CART on geospatial imagery to classify and segment different landcovers like vegetation, residential, waterbodies, etc.

  • Real Time Facemask Detector

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    Developed a real-time facemask Detector using the Yolo architecture.

  • Encrypting Text and Binary files in Images

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  • Extracting Pros and Cons from Product Reviews

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    In order to guide an online consumer on the basis of real-life experiences, our model extracts relevant pros and cons from product reviews for products the consumer might be interested in.

Honors & Awards

  • Winner at Smart India Hackathon 2022

    Smart India Hackathon

    Winner at Smart India Hackathon 2022 in the problem statement organized by Ministry of Electronics and Information Technology.

  • COEP's Best Outgoing Student (Overall) 2021-2022

    College of Engineering Pune

    Won COEP's Best Outgoing Student (Overall) for the Academic Batch 2021-2022 for accomplishments in curricular, co-curricular and extra-curricular activities. Awarded amongst all departments and over 1000 students.

  • 3rd Prize at INAE Youth Conclave

    Indian National Academy of Engineering

    3rd Prize at INAE Youth Conclave

Test Scores

  • Graduate Record Examination (GRE)

    Score: 330

    Scored 330/340 with 162 in Verbal and 168 in Quant. AWA or Analytical Writing Score of 5.5/6

  • Joint Engineering Examination Advanced

    Score: 140

    99.96% Percentile

  • CBSE Board Examination (Standard 12th)

    Score: 92.4%

  • Joint Engineering Examination Mains

    Score: 168

    99.98 Percentile

  • ICSE Board Examinations (Standard 10th)

    Score: 92.16%

Languages

  • English

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

  • Gujarati

    Native or bilingual proficiency

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