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Akshayplayer/README.md

Hi there πŸ‘‹, I'm I am Akshay Ku Bothra

πŸŽ“ Civil Engineering & Engineering Entrepreneurship (Dual Degree) | IIT Kharagpur
πŸ“ Machine Learning | Data Science | AI | Cloud Computing

πŸš€ About Me

I am Akshay Ku Bothra, a passionate AI/ML and data science enthusiast currently pursuing a Dual Degree (B.Tech in Civil Engineering with integrated specialization in Engineering Entrepreneurship) at IIT Kharagpur. My expertise lies in Data structures and Algorithms, Machine Learning, NLP, and deep learning, with hands-on experience solving real-world problems across industries. I have worked on predictive maintenance models, AI-powered educational platforms, and financial fraud detection by leveraging cutting-edge Models like XGBoost, RoBERTa, and OpenCV.

Beyond academics, I actively participate in hackathons and coding competitions, having secured a top 5 nationwide ranking in Smart India Hackathon 2023. I thrive in building scalable AI solutions, optimizing big data pipelines, and automating workflows to drive impactful innovation. I constantly explore ways to bridge the gap between AI research and practical implementation.

I am always open to exciting collaborations, research opportunities, and tech discussions. Let's connect and innovate together! πŸš€

πŸ’Ό Work & Competitions

πŸ‘¨β€πŸ’» Renergy Technologies Inc. | Toronto, Canada | [Javascript, Playwright]

  • Automated website testing in Playwright and Validated and ensured the company website's Functionality.

πŸš€ Eternia – SBU of Hindalco Industries Limited | Mumbai, Maharastra | [XGBoost, CatBoost, Pandas]

  • Reduce the downtime of 100+ CNC machines for optimized production efficiency for the window manufacturing process by contributing to the company's predictive maintenance model.

πŸ“Š IIM Bangalore | Bangalore, Karnataka | [RoBERTa, TextBlob, Pytrends]

  • Preprocessed experiments based on chunks of data and prepared a Roberta-based Q/A model, determined associated sentiments related to each experiment utilizing Textblob and generate social trend using Pytrends.

πŸ€– AI-Driven EdTech Platform @ IIT Kharagpur | [BERTopic, OpenCV, NLP]

πŸ’³ Credit Card Fraud Detection | [XGBoost, PCA, Feature Engineering]

πŸ† Smart India Hackathon 2023 Finalist (Top 5 Nationwide) | [IoT, Grafana, InfluxDB, Azure]

Technical Skills:

Programming Languages:

cplusplus python typescript

Cloud and Storages:

aws azure docker kubernetes gcp

AI/ML Stacks:

opencv pandas pytorch scikit_learn seaborn tensorflow

Extra Tech.:

firebase git grafana heroku linux mssql mysql

akshayplayer

Β akshayplayer

πŸ“« Connect with Me

akshaybothra akshaykubothra

Gmail
LinkedIn
GitHub
Leetcode
Codeforces
CodeChef

akshayplayer

akshayplayer

akshayplayer

Thanks for stopping by! 😊 Let's connect and build something amazing! πŸš€

Pinned Loading

  1. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    The dataset contains transactions made by credit cards in September 2013 by European cardholders.

    Jupyter Notebook 1

  2. Maze_Path_Finder Maze_Path_Finder Public

    NA

    Python 1

  3. Healthcare-Assistant-using-LLM Healthcare-Assistant-using-LLM Public

    Python 1

  4. Google-Tesla-stock-price-prediction Google-Tesla-stock-price-prediction Public

    Stock prediction using LSTM

    Jupyter Notebook

  5. Market_Trend_Predictor Market_Trend_Predictor Public

    Jupyter Notebook 1

  6. Sea_level-rise Sea_level-rise Public

    Jupyter Notebook 1