Siddhanth Ramani

Siddhanth Ramani

Student Intern (Management)

Followers of Siddhanth Ramani3000 followers
location of Siddhanth RamaniSeattle, Washington, United States

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  • Timeline

  • About me

    MS ECE at UCSD (with a focus on Machine Learning and Data Science) | IIT Madras | Manipal Institute of Technology | Sri Sankara, Adyar

  • Education

    • Sri Sankara Senior Secondary School, Adyar

      2004 - 2016
      10th CGPA - 9.8, 12th Final - 94.2%
    • UC San Diego

      2023 - 2025
      Master of Science - MS Electrical and Computer Engineering 3.64

      Coursework:Fall 2023:ECE 161A - Digital Signal Processing by Prof Fred HarrisECE 174 - Intro to Linear and Non-Linear OptimizationECE 271A - Statistical Learning-1 (Generative Modelling)Winter 2024:ECE 226 - Optimization of Deep Learning for H/WECE 269 - Linear AlgebraECE 271B - Statistical Learning-2 (Discriminative Modelling)(TA) - ECE 150 - Entrepreneurship for EngineersSpring 2024:CSE 256 - Statistical Natural Language… Show more Coursework:Fall 2023:ECE 161A - Digital Signal Processing by Prof Fred HarrisECE 174 - Intro to Linear and Non-Linear OptimizationECE 271A - Statistical Learning-1 (Generative Modelling)Winter 2024:ECE 226 - Optimization of Deep Learning for H/WECE 269 - Linear AlgebraECE 271B - Statistical Learning-2 (Discriminative Modelling)(TA) - ECE 150 - Entrepreneurship for EngineersSpring 2024:CSE 256 - Statistical Natural Language ProcessingECE 273 - Convex Optimization by Prof Jun-Kun WangECE 285 - Intro to Visual Learning(Audit) - COGS 126 - Thinking with Computers by Prof James Hollan(Audit) - COGS 229 - Design at Large seminar seriesFall 2025:CSE 258 - Recommender SystemsECE 225A - Probability and StatisticsECE 253 - Digital Image Processing by Prof Truong Nguyen Show less

    • Masters' Union

      2022 - 2022
      Product Management Bootcamp
    • Indian Institute of Technology, Madras

      2023 - 2023
      Dual Certification Computer Science

      Completed two 12 credit graduate level courses on-campus while working as a full-time employee at Mindgrove :● Sensing Systems for IoT - Professor Ayon Chakraborty● Fundamentals of Deep Learning - Professor Mitesh KhapraGithub Repository Links : ●https://github.com/siddhanthramani/iitm_sensing_systems_for_iot●https://github.com/siddhanthramani/iitm_CS6910_miteshkhapra_deeplearning/

    • Manipal Institute of Technology

      2017 - 2021
      B.Tech Electrical and Electronics Engineering CGPA - 8.91
  • Experience

    • Tata Motors

      Dec 2018 - Dec 2018
      Student Intern (Management)

      Sales : Learned how the entire sales pipeline works.Customer Service : Cold Calling, Interacting with new customers, Understanding the problems of existing customers.Gained knowledge on how a large organization functioned smoothly and how departments interacted to sell the product, a TATA car.

    • Freelance

      May 2019 - Jul 2019
      Web Developer

      www.sidacharya.com (now changed)Developed this website for keyboardist Siddharth Acharya.Learned static web-development from the ground-up using HTML, CSS, JavaScript. Learned how to add interactivity, resolve bugs and adapt code to change in design (as and when the designer Vicram V required).

    • MUTBI Student Entrepreneurship Cell

      Nov 2019 - Sept 2020
      Management Committee Member
    • EDGATE TECHNOLOGIES PRIVATE LIMITED

      Dec 2019 - Jan 2020
      IOT Student Intern

      Part of the Texas Instruments University Program.Learned the skill (intermediate level) of working with any microcontroller given the instruction sheet.Learned to prototype IOT apps.Gained knowledge about the different layers which make up the internet and how data travels across the internet.

    • Impact Analytics

      Feb 2021 - Sept 2022

      Worked in a demo project : Customer Segmentation for targeted promotion marketing.Learned and understood the entire data science pipeline.Worked predominantly with Python and Big Query. Wrote the code to scrape data, EDA, data preparation, running K-Means models and evaluating the models (entire data science process except deployment).Performed an RFM Analysis on client's customers to archetype each segment.Worked in a live project : Image Recognition to automatically attribute features of products. Ex. Color of a Shirt (Apparels), Shape of Gemstone in a ring (Jewelry).Worked predominantly in the data preparation and cleaning phase. Tagged 10,000's of data points to provide a better training/ test/ validation set to the CNN model.Created a scraping code which can:a. Selectively scrape for desired images.b. Automatically tag multiple attributes while scraping. (when compared to manually tagging single attributes at a time) Show less

      • Data Scientist

        Jun 2021 - Sept 2022
      • Data Science Intern

        Feb 2021 - Jun 2021
    • Omdena

      Sept 2021 - Nov 2021
      ML Engineer - Deployment Manager

      Lead the task of deployment1. Involved in EDA and Modelling using Tree Based Algorithms2. Dockerized the AI/ML model and ensured DB permanance with Docker Compose3. Created a back-end REST API service for client to interact with service4. Interacted with our Client - Kanda - on a weekly basis and presented team updates

    • Insightsoncode

      Jul 2022 - Jun 2023
      Creator

      Data Science is all the craze. But one industry yet to capitalize on data is the B2B space. Why? Because they don't collect structured data. insightsoncode provides a framework and an open source tool to help them collect the right data easily.This provides a lot of benefits - the most important of which is to understand and track product market fitGo to https://www.insightsoncode.com/ to know more. (The website does not use tech jargon and is made for anyone to understand. So check it out! ) Show less

    • Mindgrove Technologies Pvt. Ltd.

      Sept 2022 - Jun 2023
      Embedded Application Engineer

      ● Research - Used traditional image processing techniques for Object Detection using mmWave radar. The aim was to be comparable to DL models while building a more time and memory optimal model.● Used Python with openCV and traditional image processing techniques for Lane Detection. Translated the code to C++ and used Valgrind for memory profiling and code optimization.● Developed Crypto Drivers for RSA, SHA and AES hardware in C.● Benchmarked our custom SOC for tasks like Matrix Multiplication, FFT, and ran DL models. Show less

    • UC San Diego

      Jan 2024 - Mar 2024
      Graduate Teaching Assistant

      ● Assisted ECE 150 (Entrepreneurship for Engineers) with Professor Rakesh Kumar. The course takes students from problem recognition to customer discovery to identifying target markets, understanding financials, and presenting investor pitches● Work included guiding students, boosting student collaboration, grading and providing feedback, and ensuring a good student learning experience

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Siddhanth Ramani
      Spot Award Impact Analytics Dec 2021 Won the Spot Award at Impact Analytics for Q3 2021 - the first quarter post joining as full time employee.
  • Volunteer Experience

    • Management Committee Member

      Issued by Ek Sangharsh-Manipal
      Ek Sangharsh-ManipalAssociated with Siddhanth Ramani
    • Student Intern

      Issued by Teach For India on May 2018
      Teach For IndiaAssociated with Siddhanth Ramani