Data Science with less than a year in Python, Machine Learning, and Data Analytics.
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Results-driven AI & Data Science graduate with proven experience delivering end-to-end ML, NLP, and data analytics solutions. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, and Tableau. Skilled in EDA, feature engineering, statistical modeling, and ML model development (regression, classification, clustering, ensemble methods). Working familiarity with Generative AI, Large Language Models (LLMs), and LangChain. Passionate about continuously upskilling and transforming raw data into actionable business insights that drive measurable decisions.
Jansons Institute of Technology
Bachelor of Technology · Artificial Intelligence & Data Science
October 1, 2022 – May 1, 2026
Thirumoolar IT Solutions
Artificial Intelligence Intern
June 1, 2025 – July 1, 2025
India
Codsoft
Java Developer Intern
July 1, 2024 – August 1, 2024
India
Banking Domain Data Analytics
June 1, 2026 – Present
Engineered an end-to-end data analytics pipeline on a 3,000+ record banking dataset using Python, MySQL, and Power BI. Performed Exploratory Data Analysis (EDA) using Pandas to uncover actionable insights on customer income segmentation, gender demographics, and credit card utilization patterns. Designed and executed structured SQL queries in MySQL Workbench for data extraction, transformation, and analysis. Developed an interactive Power BI dashboard to visualize key banking KPIs including customer segmentation, investment advisor performance, and banking relationship trends.
View ProjectAI Resume Screening & Job Recommendation System
June 1, 2026 – Present
Developed an end-to-end ML pipeline to evaluate resumes and recommend relevant job roles using structured skill matching. Performed text preprocessing and data cleaning to standardize resume inputs across 50+ job role categories. Applied NLP techniques - TF-IDF vectorization and cosine similarity to compute match scores between resumes and job descriptions. Built an interactive Streamlit dashboard to visualize match percentages, skill gaps, and role recommendations for decision support.
Intelligent Vehicle Safety System
June 1, 2026 – Present
Built a real-time collision risk prediction system integrating ultrasonic sensors with YOLO-based computer vision, achieving ~40% faster obstacle detection vs traditional methods. Trained and deployed object detection models using Roboflow and YOLO to identify obstacles and dynamic objects with 85%+ detection accuracy. Designed a hybrid machine learning model (regression + classification) to estimate and categorize risk levels (Safe, Caution, Danger). Integrated sensor data with vision-based detection to enhance decision-making accuracy across dynamic environments. Implemented automated vehicle control logic to dynamically slow down or stop based on predicted risk. Optimized system performance, reducing response time by ~30% and improving prediction accuracy over traditional methods.
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Java Full Stack Development
Wipro TalentNext
June 1, 2026 – Present
Introduction to Data Science
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Data Science, coupled with diverse projects spanning vehicle safety, banking analytics, and resume screening, indicates a broad interest and adaptability within the data science domain. The internships, while short, show exposure to both AI/Python and Java development, suggesting a willingness to learn different technologies. The focus on delivering end-to-end solutions and transforming data into actionable insights aligns well with a results-oriented culture. The candidate's profile suggests a good fit for roles requiring continuous learning and practical application of data science principles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and a passion for transforming data into insights. The academic projects demonstrate problem-solving skills and an ability to work on complex, multi-faceted problems. The internship experiences, though short, show an understanding of applying core programming principles and developing analytical solutions. The candidate appears to be a continuous learner, as evidenced by certifications and familiarity with emerging areas like Generative AI and LLMs.