Data Scientist with a strong engineering background, adept at transforming complex data into actionable insights. Skilled in Python, SQL, Tableau, and Hadoop, with a track record of delivering impactful solutions in cybersecurity, aviation, and wearable tech. Known for a hands-on approach to problem-solving, combining technical expertise with a passion for innovation. Proven ability to collaborate effectively in teams, driving projects to successful outcomes. Certified in SAP and CISCO Data Analytics, with a demonstrated history of leading technical workshops and hackathons.
Cyber Threats in the Healthcare Industry, Masters Final Year Project,
Conducted an in-depth analysis of cybersecurity breaches in the healthcare sector, identifying trends and seasonal patterns., Utilized Python for data analysis and model implementation, employing libraries such as pandas, NumPy, scikit-learn, and statsmodels., Applied seasonal differencing and ARIMA modeling to handle non-stationary data, enhancing the accuracy of breach predictions., Implemented Gradient Boosting and Random Forest models to improve predictive performance, providing actionable insights for strengthening data security measures in healthcare organizations., Leveraged data wrangling techniques to clean and preprocess large datasets, ensuring data quality for accurate analysis., Used Hadoop for processing large-scale healthcare data, ensuring efficient data handling and storage., Applied SSIS for data integration tasks, facilitating the smooth extraction and transformation of data from multiple sources., Created interactive dashboards in Tableau to effectively visualize data, communicate findings, and support decision-making processes in enhancing cybersecurity strategies.
Analysis of Flight Delays and Cancellations, Master’s Project,
Conducted a comprehensive analysis of flight delays and cancellations using a large dataset of flight information., Utilized Python for data cleaning, feature engineering, and exploratory data analysis to identify key factors affecting flight delays., Applied machine learning models, including Logistic Regression and Random Forest, to predict the likelihood of delays., Created detailed visualizations using Power BI to illustrate the impact of various factors on flight delays and cancellations., Employed hypothesis testing and statistical analysis to validate the significance of identified factors., Deployed the predictive models on Azure for real-time prediction and monitoring of flight delays.
Thermal Jacket for Soldiers, Bachelors Final Semester Project,
Collaborated with a team of three to develop a thermal jacket aimed at providing warmth to soldiers in cold environments., Integrated GPS and heart rate sensors into the jacket, allowing for real-time monitoring of the soldier's location and vital signs., Developed a website using HTML, CSS, and WordPress for the basic level website creation to store and display the collected data, providing a comprehensive solution for tracking and ensuring the safety of soldiers in the field.
Workshop Coordination, Coordinated a Virtual Reality workshop by IEEE student branch at KARE, enhancing organizational and leadership skills. Event Organization, Organized events for SEHARI 2021 for freshers, showcasing strong event planning and management abilities.
Hackathon Workshop, Participated in a 5-day Hackathon with IBM collaboration at Kalasalingam University, focusing on innovative solutions to real-world problems.