I transform complex data into meaningful insights and effective solutions. Passionate about machine learning, data visualization, and statistical analysis.
Python • R • SQL • Machine Learning • Data Analysis • Statistical Modeling
Showcasing my expertise through real-world applications and data-driven solutions.
Implemented K-Means clustering to group S&P 500 stocks and optimized portfolios using a mean-variance framework to maximize Sharpe ratio.
View ProjectFull-stack Computer Vision project to identify weeds in crops using YOLOv5 with 88.34% accuracy, reducing crop wastage by 12% in rural India.
View ProjectDesigned a Logistic regression model using 8 parameters to predict credit payment defaults, reducing data error by 10% through extensive cleaning.
View ProjectDeveloped a vector-based movie recommendation system using NLTK library on the IMDB dataset with over 5000 movies.
View ProjectCreated interactive dashboards to visualize complex healthcare data, enabling stakeholders to identify key trends and make data-driven decisions.
View ProjectI combine statistical analysis with machine learning techniques to extract valuable insights from complex datasets and build data-driven solutions.
Exploring and analyzing complex datasets to extract valuable insights and patterns.
Building predictive models and algorithms that learn from data and improve over time.
Applying statistical methods to interpret data and support decision-making processes.
Proficient in Python and libraries like Pandas, NumPy, scikit-learn, and TensorFlow.
Creating clear, effective visualizations to communicate complex data insights.
Working with SQL and NoSQL databases to store, retrieve, and analyze large datasets.
My academic journey and professional experience in the field of data science.
2024 - 2026
Relevant courses: Data Mining with Python, Data Science in R, Data Warehousing, Data Visualization
GPA: 3.7/4.0
Recipient of the Global Leaders Award
2023
Reduced space and time requirements for 3D cell mapping projects through hyperparameter tuning, resulting in a 15% efficiency boost.
2020 - 2024
Relevant courses: Statistics, Machine Learning, Reinforcement Learning, Pattern Recognition, Data Structures and Algorithms
GPA: 3.6/4.0
2023
Developed an Unsupervised Source-free Domain adaptation model for early pneumonia detection in MRI and CT-scans.
2022 - 2024
Led and mentored over 100 students and secured $1000 in funding for an offline Python bootcamp.
Feel free to reach out for collaborations or just a friendly chat.