About me

Hi! Thanks for dropping by.

I'm an ardent engineer who loves challenges and enjoys delving deep into my field. Python, SQL, data visualization, statistics, machine learning, and deep learning are my trusted companions on this nerdy adventure. When I'm not immersed in data, you can find me on the cricket field, swinging my bat with the same precision I handle algorithms. I also love Movies; they are like a data set waiting to be analyzed.

I completed my undergraduate studies at CHRIST University, where I was awarded as the Best Outgoing Student of the year for demonstrating exceptional achievements in academics, co-curricular activities, and extra-curricular endeavors. Graduating with a CGPA of 3.94, I was recognized for my consistent academic excellence and received the Top 1% Merit Scholarship for the entire duration of my program. As the President of the student club in my department, I successfully led and managed various initiatives. Additionally, I spearheaded a socio-economic development wing that comprised 300 volunteers and orchestrated events that attracted a massive turnout of over 1000 attendees.

Let's connect and geek out over data while having a good laugh along the way!

Skills

  • Web development icon

    Programming

    Python, SQL, C, MATLAB

  • design icon

    Tools

    AWS, PyTorch, Scikit-learn, Pandas, Pyspark, Django, Azure, Tensorflow, Flask, Numpy, OpenCV, SQLite, Unreal Engine

  • mobile app icon

    Data Visualization

    D3.js, Tableau, Vega-Altair, Seaborn, Matplotlib

  • camera icon

    Other

    Hypothesis Testing, Exploratory Data Analysis, CI/CD, Git, HTML, CSS, Linux

Experience

Experience

  1. Graduate Teaching Assistant

    Dec 2023 — Present

    Mentoring students in 7 industry-sponsored capstone projects focused on data science and software engineering.

  2. NASA Jet Propulsion Laboratory

    Dec 2022 — June 2023

    Developed Unsupervised Domain Adaptation for hazard’s semantic segmentation on JPL’s EELS vision data with 88.98% mIoU utilizing the synthetic data generated from Unreal Engine 5 as part of UW capstone team for Machine Learning for Extreme Traverse Lunar Explorer.

  3. Hindustan Shipyard Limited

    Sep 2021 — Nov 2021

    Developed a supervised machine learning model achieving 11.8% MAPE to accurately predict working time requirements for new vessels, streamlining production planning.

Education

  1. University of Washington

    2022 — Present

    Master of Science in Electrical and Computer Engineering with a specialization in Data Science.

    Coursework: Software Development for Data Scientists, Advanced Intro to Machine Learning, Probability, Data Visualization, Database Systems, Computer Vision, Entrepreneurial System and Design.

  2. CHRIST University

    2018 — 2022

    Bachelor of Technology in ECE with honors in Intelligent Systems.

    Coursework: Machine Learning, Deep Learning and Pattern Recognition, Real Time Computer Vision. Digital Signal Processing.

Portfolio