Machine Learning Enthusiast passionate about building data-driven solutions. From models to deployment, I turn ideas into intelligent applications.
About Me.
Machine Learning Engineer focused on building efficient, scalable, and intelligent systems. From model training to real-world deployment, I bring ideas to life through data.
Skills.
Languages
C
C++
Java
PythonFrontend
HTML5
CSS3
JavaScriptCore Skills
DSA
MLLibraries & Frameworks
TensorFlow
PyTorch
Seaborn
MatplotlibResume.
Dedicated Machine Learning enthusiast with hands-on experience in model development, data analysis, and intelligent systems. Here's a snapshot of my journey so far.
Experience
ML Intern
Board Infinity - Summer Internship- Implemented Decision Tree and Random Forest models on the WBCD for tumor classification
- Achieved 92.40% accuracy with Decision Tree and 97.08% accuracy with Random Forest
- Optimized model performance through hyperparameter tuning, enhancing predictive reliability
SDE Intern
JP Morgan Chase & Co. - Virtual Internship- Set up the local development environment by configuring necessary files, tools, and dependencies for a smooth workflow
- Resolved repository issue, ensuring the correct output of the web application
- Integrated JP Morgan Chase's open-source library Prespective to generate live graphs for real time data visualization
Education
B.Tech in CSE
Lovely Professional UniversityCurrent CGPA: 8.64 / 10
Intermediate Education
Carmel Junior CollegeMarks: 966 / 1000
Secondary Education
ST. Therese High SchoolCGPA: 10 / 10
Unleash the Future.
Stock Price Prediction with LSTM Magic
Prepare to be amazed! This project harnesses the power of Long Short-Term Memory (LSTM) networks to predict Google stock prices with jaw-dropping accuracy. Dive into a world where historical trends and patterns unlock the secrets of the financial market, showcasing the mind-blowing potential of deep learning in action!
- Data Mastery: Watch in awe as missing values vanish, data transforms seamlessly, and features scale to perfection with MinMaxScaler—setting the stage for LSTM brilliance!
- Trend Revelation: Feast your eyes on stunning candlestick charts that unveil stock trends, revealing the dance between volume, open prices, and market performance!
- Feature Wizardry: Marvel at the creation of Total Traded and Daily Returns metrics, crafted to fuel the LSTM model with predictive power!
- Model Genius: Witness a multi-layer LSTM masterpiece with dropout layers, optimized with the adam wizard and mean_squared_error sorcery, tracking losses like a pro!
- Evaluation Spectacle: Be blown away by RMSE metrics that measure prediction precision, brought to life with visuals of actual vs. predicted values!
- Visual Explosion: Immerse yourself in interactive Plotly visualizations—loss trends and predictions that pop off the screen with clarity and flair!
This code isn’t just structured—it’s a work of art, divided into logical sections that make you want to explore every detail. The RMSE visuals? Pure genius for understanding the model’s prowess. And those Plotly charts? They’re so interactive, you’ll feel like you’re predicting the market yourself!
Ready for more? Imagine hyperparameter tuning to push the limits, cross-validation with walk-forward magic, or testing this beast on other stocks with GRU or attention-based models. Save it with TensorFlow’s spell and deploy it live—real-time predictions are just a step away!
Check the Code
Harnessing Vector Space Models for Enhanced Machine Translations
Get ready to be blown away! This project fuses Vector Space Models (VSM) with Machine Translation (MT) magic, using MarianMT and GloVe to revolutionize document search and translation quality—unlocking a multilingual universe with stunning precision!
- Multi-Language Power: Witness translations across languages with MarianMT and Google Translate, breaking barriers with ease!
- Back-Translation Brilliance: Marvel at sentences translated and back-translated, evaluated with cosine similarity for mind-blowing accuracy!
- Embedding Genius: Be amazed by GloVe word embeddings that measure translation similarity against the Reuters dataset!
- Visual Spectacle: Dive into interactive Plotly bar charts comparing MarianMT and Google Translate—visuals so clear, you’ll feel the data come alive!
- Spell-Checking Magic: Watch autocorrect fix typos on the fly, ensuring flawless input for perfect translations!
- Data Export Wonder: Export similarity scores to Excel files, turning insights into actionable gold!
This project’s structure is a masterpiece, guiding you through every step with clarity. The Plotly visuals, A feast for the eyes, making translation comparisons a thrilling experience. And the Excel exports? Pure convenience for deep dives!
What’s next? Tune hyperparameters for even better results, explore new datasets, or integrate real-time translation APIs. The possibilities are endless—take it live and watch the magic unfold!
Check the Code
Clustering and Dimensionality Reduction Mastery
Prepare to have your mind blown! This project dives into the wild world of unsupervised learning, using KMeans, PCA, LDA, and ICA to cluster and visualize data across Iris, Wine, and synthetic datasets—unveiling hidden patterns like never before!
- Clustering Wizardry: Watch KMeans conquer multiple datasets, evaluated with a dazzling array of metrics like Silhouette Score and ARI!
- Dimensionality Magic: Be astounded by PCA, LDA, and ICA transforming high-dimensional data into stunning 2D visualizations!
- Metric Explosion: Marvel at a barrage of performance metrics—Calinski-Harabasz, Davies-Bouldin, F1 Score, and more—bringing clarity to clustering quality!
- Visual Feast: Immerse yourself in breathtaking visualizations of original and transformed data, making complex patterns leap off the screen!
- Structured Brilliance: Explore a project layout with notebooks, scripts, and results, organized for seamless navigation!
This isn’t just analysis—it’s a visual journey! The structured code and vivid charts turn data into a story, while the metric suite offers insights that leave you in awe of the patterns uncovered!
Ready to level up? Add DBSCAN or UMAP, tune hyperparameters, or test new datasets. The future of clustering is yours to redefine—deploy it and watch the data dance!
Check the Code
Certifications.
Coding Profiles.
A Day in My Life.
My Daily Routine
A glimpse into my day as a Machine Learning Developer, balancing coding, learning, and life —all explained in German!.
Contact Me.
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