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Resume

Work
Experience

Virtusa Corporation – Chennai, India
Data Science Intern

May 2022 -  May2023

  • Leadership and Collaboration: Led a team of five in Virtusa's national competition, Jatayu Season 3, securing runner-up among 1,000+ applicants. Demonstrated strong problem-solving, teamwork, and project management skills by guiding the team in designing and implementing a scalable AI-driven solution.

  • Machine Learning and Predictive Modeling: Designed and developed the Automatic Loan Approval Prediction (A-LAP) system, achieving 97% accuracy by integrating seven machine learning algorithms with a voting classifier. Optimized performance using dual cross-validation and hyperparameter tuning, ensuring robustness and real-world applicability.

  • Data Analysis and Workflow Design: Processed and analyzed customer datasets of up to 2 million records using Python, SQL, and Excel, ensuring high data quality. Built dynamic forms and pipelines for custom model training, enabling user-specific preprocessing and prediction workflows.

  • Data Visualization and Insights: Created dynamic dashboards in Power BI to deliver actionable insights, reducing reporting time by 30% and enhancing decision-making efficiency for stakeholders.

  • Scalable Deployment and Optimization: Designed scalable workflows for deploying machine learning models across diverse datasets, implementing features such as role-based access control and user logging to improve system adaptability and reliability.

Verzeo Edutech – Remote
Cybersecurity Developer Intern

Oct 2021 - Nov 2021

  • Cybersecurity Fundamentals: Gained in-depth knowledge of networking security concepts and techniques, including phishing, malware, SQL injection, and password attacks, during the study phase.

  • Practical Implementation: Simulated and analyzed cybersecurity threats, such as password attacks, virus propagation, and system crashes, within a controlled virtual environment provided by the company.

  • Analytical Skills: Conducted detailed assessments of network vulnerabilities, applying problem-solving and critical thinking skills to develop innovative attack strategies.

  • Achievement: Successfully completed a structured course and internship program, earning certification for demonstrating proficiency in cybersecurity principles and their applications.

Thinklance Edutech – Remote
Machine Learning Intern

Jul 2021 - Aug 2021

  • Foundational Learning: Gained a strong understanding of machine learning fundamentals, including key algorithms, concepts, and their practical applications, during the first month of the internship.

  • Hands-On Experience: Worked on machine learning projects, such as handwritten word and number classification tasks, leveraging Convolutional Neural Networks (CNN) for accurate predictions.

  • Practical Implementation: Applied supervised learning techniques and deep learning architectures to solve real-world problems, enhancing technical and problem-solving skills.

  • Achievement: Successfully completed a structured course and internship program, earning a certificate of achievement for demonstrating proficiency in machine learning concepts and applications.

Education

University of Warwick (Russell Group) Coventry, United Kingdom
Master of Science in Data Analytics

Sep 2023 - Sep 2024

  • Modules Included: Data Mining, Data Analytics, Natural Language Processing, Data Visualization (R Language)

Anna University
Chennai, India
Bachelor of Engineering in Computer Science and Engineering

Aug 2019 - May 2023

  • CGPA: 8.16/10 (First Class)

  • UK Equivalent: First Class Honours

  • Modules Included: Database Management Systems, Foundations of Machine Learning, Data Mining, Data Analytics, Probability and Statistics, Object-Oriented Programming, Python, Cloud Computing, Principles of Artificial Intelligence

Skills
& Expertise

  • Programming Languages: Python, R, SQL, Java, C++

  • Data Analysis: Exploratory Data Analysis (EDA), Statistical Analysis, Data Cleaning, Data Transformation, Feature Engineering

  • Machine Learning: Supervised and Unsupervised Learning, Deep Learning (CNN, Transformers), Model Development and Optimization, Hyperparameter Tuning

  • Data Visualization: Power BI, Tableau, Excel (Pivot Tables, Power Query, Data Visualization), Matplotlib, Seaborn, ggplot2

  • Databases: MySQL, PostgreSQL, MongoDB, Cloud Databases (AWS RDS)

  • Big Data Technologies: Hadoop, Spark, PySpark

  • Tools and Platforms: Jupyter Notebook, Google Colab, VS Code, Git, Anaconda, Roboflow

  • Cloud and Deployment: AWS (S3, EC2, Lambda), Docker, API Integration, IBM Watson

  • Cybersecurity Knowledge: Networking Security, SQL Injection Prevention, Malware Analysis

  • Soft Skills: Leadership, Team Collaboration, Problem-Solving, Analytical Thinking, Effective Communication

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