About
Highly motivated and results-driven student with a strong foundation in Data Science and Machine Learning, seeking to leverage robust analytical and programming skills to solve complex problems. Proven ability to develop and deploy predictive models, optimize systems with real-time data, and derive actionable insights from diverse datasets, as demonstrated through impactful internships and academic projects. Eager to contribute to innovative data-driven solutions within a dynamic technology environment.
Work
Remote, Any, US
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Summary
Developed and deployed advanced predictive models for credit risk, integrating complex financial metrics and leveraging cloud-based data tools to enhance decision-making.
Highlights
Engineered and deployed a robust PD (Probability of Default) model, significantly improving credit risk prediction accuracy by incorporating seasonality logic.
Implemented account-level filtering mechanisms, refining risk assessments and enabling more precise financial evaluations.
Utilized Python for model development and integrated with AWS data tools (S3, Athena) for efficient data processing and scalable model deployment.
Applied advanced predictive modeling techniques, including LightGBM, to analyze complex datasets and generate actionable insights for credit risk management.
Chennai, Tamil Nadu, India
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Summary
Designed and implemented a machine learning model to dynamically optimize data center cooling, enhancing energy efficiency and system performance.
Highlights
Developed a machine learning model that dynamically optimized data center cooling, reducing overcooling by analyzing real-time sensor data (temperature, server workload).
Replaced static CRAC (Computer Room Air Conditioner) systems with a dynamic ML-driven approach, leading to potential energy savings and improved operational efficiency.
Utilized ensemble modeling and data visualization techniques to process and interpret complex sensor data, ensuring precise cooling adjustments.
Contributed to data generation and analysis, providing critical insights for the continuous improvement and scalability of the cooling optimization system.
Raigarh, Chhattisgarh, India
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Summary
Performed comprehensive data analysis on industrial datasets to identify cost-optimal solutions and gain hands-on experience in industry data analytics.
Highlights
Analyzed high-dimensional belt-drive datasets, incorporating critical factors such as grade, material strength, and cost to identify performance bottlenecks.
Engineered features from raw data, enhancing the predictive power of analytical models for industrial applications.
Generated data-driven recommendations for cost-optimal replacements, contributing to potential operational savings and efficiency improvements.
Gained practical experience in data visualization, ETL processes, SQL querying, and data warehousing within a heavy industry context.
Volunteer
Recstacy 2023 Organizing Committee
|Core Team Member
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Summary
Spearheaded the successful organization and execution of Recstacy 2023, a large-scale cultural festival, demonstrating strong leadership and logistical capabilities.
Highlights
Spearheaded the planning and execution of Recstacy 2023, a large-scale cultural festival, overseeing all aspects from concept to delivery.
Managed and coordinated diverse teams, optimizing workflows and ensuring seamless collaboration across various functional areas.
Directed event planning, stage management, and logistics, contributing to the successful hosting of multiple events and performances.
Demonstrated strong leadership and problem-solving skills in a high-pressure environment, ensuring the festival's smooth operation and positive attendee experience.
Awards
A Grade in Advanced Algorithms
Awarded By
National Institute of Technology, Durgapur
Achieved an 'A' grade in the Advanced Algorithms course during the 3rd year of study, demonstrating strong analytical and problem-solving skills.
Kaggle Competition Participant
Awarded By
Kaggle
Actively participated in various Kaggle Competitions, applying machine learning and data science techniques to real-world datasets and continuously enhancing skills.
Olympiad Silver Medalist
Awarded By
Mathematics Olympiad Committee
Awarded a Silver Medal in the Mathematics Olympiad, recognizing exceptional mathematical aptitude and problem-solving abilities at a national level.
Skills
Programming Languages
Python, C, C++, SQL, HTML, CSS, TypeScript, Node.js, Express.js.
Data Science & ML
Machine Learning, AI, Predictive Modeling, Credit Risk Prediction, Ensemble Modeling, Data Visualization, Data Processing, ETL, Data Warehousing, Feature Engineering, Model Tuning, Natural Language Processing (NLP), Scikit-learn, LightGBM.
Libraries & Frameworks
Numpy, Pandas, Random Forest Regressor, SGDRegressor, Dummy Regressor, VSCode, Git.
Databases & Cloud
DBMS, PostgreSQL, AWS S3, AWS Athena.
Tools & Concepts
Power BI, Excel, Debugging, Design Principles, Data Engineering, Linear Algebra, Algorithms, Probability and Statistics, Object-Oriented Programming (OOPs).
Soft Skills
Accountability, Collaboration, Communication, Proactive, Problem-solving.