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Final Year CSE Student Bengaluru, Karnataka

Software Developer | AI Enthusiast | Photographer

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Work Experience

CODMAV

Research Intern

June 2024 — July 2024
GitHub GitHub Repo Link ↗
  • Led the development of a Lung Cancer Risk Prediction System.
  • Performed data cleaning and preprocessing using Python, applied advanced feature selection techniques such as PCA, BSO, RFE, and SelectKBest to enhance model performance.
  • Implemented machine learning models including XGBoost, CatBoost, SVM, KNN, and an Ensemble Model combining all models on the transformed datasets, achieving a peak accuracy of 98.75% and recall of 96.25% with RFE-selected features.
  • Conducted in-depth research on Lung Cancer, machine learning techniques, visualized model results using graphs and tables, and co-authored a research paper titled Predictive Analytics for Early Lung Cancer Risk using Machine Learning, published in IEEE Xplore.

My Projects

DFOS

Distributed File Orchestration and Synchronization: Multi-Node Data-Transfer-Framework for Linux

GitHub Link
DFOS

My Portfolio

Portfolio Website using Astro and TailwindCSS

GitHub Link
My Portfolio

Fare Forecasting in Quahog City

Data Analysis of RideWave Dataset in Quahog City to help RideWave implement dynamic pricing

GitHub Link
Fare Forecasting in Quahog City

URL Shortener

Load Balanced URL Shortener using Docker, Kubernetes and Redis

GitHub Link
URL Shortener

Sports Rental

Sports Equipment Rental Management System using MySQL and Streamlit

GitHub Link
Sports Rental

About Me

Hey, I'm Sumukh Acharya, currently surviving as a Final Year CSE student at PES University. I love playing around with Data. I am passionate about Data Analytics, Machine Learning, Deep Learning. Most of my interests lies in this field. I'm prolly trying to make it spill all it's secrets. I am also interested in the fields of Databases, Big Data and Web-Dev and aim to work on becoming a good Full Stack Developer. When I am not convincing my ML model to behave, you'll find me diving into new tech, or starting a new project or maybe researching on something that tingles me. Outside the Tech world, I love capturing the world through my camera lens, or battling imaginary Grandmasters on the chessboard (spoiler: I win... sometimes).

Sumukh Acharya

Skills

Languages

Python R

Machine Learning & Deep Learning

Pandas NumPy TensorFlow Scikit-learn Matplotlib Seaborn PyTorch Keras Librosa Statsmodels LightGBM Joblib OpenCV Random Forest PCA RFE SelectK BSO XGBoost SVM CatBoost KNN Ensemble CNN LSTM Siamese Networks Autoencoders

Databases & Big Data

MySQL Hadoop Kafka Spark

Operating Systems

Windows Linux

Web Development

HTML CSS TypeScript JavaScript React Astro TailwindCSS

Tools & Others

Git GitHub Blender Docker Kubernetes VSCode MS Office Vercel Streamlit Figma Canva

College Coursework

Machine Learning Databases Deep Learning Software Engineering Cloud Computing Big Data Data Analysis Statistics for Data Science C/Java Data Structures and Algorithms Operating Systems Computer Networks

Achievements

  • IBM Data Science Professional Course by Coursera.
  • Learn Photorealism with Blender Course by PESU I/O.
  • Secured 7th place out of 364 teams in a Kaggle Data Analytics Hackathon.
  • Participated in HackNight organised by ACM and contributed to Open-Source.

Education

  • B.Tech in Computer Science and Engineering

    PES University, Bengaluru

    2022 – 2026

  • PUC (Class 11-12)

    BASE PU College, Bengaluru

    2020 – 2022

  • CBSE (Class 1-10)

    Sri Kumaran Children's Home, Bengaluru

    2009 – 2020