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Data Analyst with less than a year in Machine Learning & AI solutions
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Data Science professional with hands-on experience in Data Analytics, Machine Learning, and AI solution development using Python, SQL, Power BI, and Advanced Excel. Skilled in Data Cleaning, Preprocessing, Transformation, and Exploratory Data Analysis (EDA) to derive actionable insights from large-scale datasets. Familiar with statistical analysis, predictive modeling, and machine learning techniques to support data-driven decision-making. Experienced in building dashboards, analytical reports, and visualization solutions for technical and non-technical stakeholders. Worked on real-world projects across agriculture, maritime safety, and workforce analytics domains, delivering impactful business insights. Eager to contribute analytical expertise in a dynamic and growth-oriented organization.
Bishop Heber College
M.Sc. Data Science · Data Science
August 1, 2024 – June 30, 2026
Cauvery College for Women
B.Sc. Computer Science · Computer Science
August 1, 2021 – June 30, 2024
SVR Matric Hr. Sec. School
Higher Secondary Certificate (HSC)
N/A – May 31, 2021
Govt. Girls Hr. Sec. School
Secondary School Leaving Certificate (SSLC)
N/A – May 31, 2019
CODSOFT
Data Science Intern
November 1, 2024 – Present
India
Cauvery College for Women - Student Council
Executive Member
June 1, 2023 – April 1, 2024
Tiruchirappalli, Tamil Nadu, India
Oil Spill Detection using AIS
July 1, 2025 – June 1, 2026
Trained an anomaly detection system processing 10,000-50,000 AIS vessel records to identify illegal discharge patterns linked to maritime oil spills. Applied systematic feature extraction and data preprocess on a large vessel datasets with more than 10K records, providing useful metrics for environmental monitoring teams, enhancing Supportability of operations.
View ProjectSkill Gap Analyser
June 1, 2025 – March 1, 2026
Developed an NLP-based web application to analyze resumes and job descriptions, identify skill gaps, and generate role-specific recommendations with 90% ATS matching accuracy. Implemented keyword extraction, and text preprocessing to automate candidate-job alignment and improve recruitment workflow efficiency.
View ProjectExplainable AI using SHAP
March 1, 2025 – June 1, 2026
Developed a retail demand forecasting model using XGBoost and time-series analysis on real-world retail datasets to predict future sales trends. Integrated SHAP (SHapley Additive exPlanations)-based Explainable AI with feature engineering techniques such as lag features and rolling averages to improve model interpretability and forecasting accuracy.
View ProjectRice Leaf Disease Classification System using MLP
June 1, 2023 – March 1, 2024
Designed a deep learning-based classification system using CNN and MLP architectures to identify rice diseases from agricultural datasets. Performed preprocessing, training, evaluation, and optimization to enhance prediction reliability and overall model performance. Improved classification accuracy by 10% through systematic tuning and validation techniques.
View ProjectData Analytics Job Simulation
Deloitte
June 1, 2025 – Present
Machine Learning with Python: Foundation
LinkedIn Learning
May 1, 2025 – Present
Data Science: R Programming Diploma
Udemy
November 1, 2024 – Present
Fundamentals of AI Concepts
Microsoft Learn
September 1, 2024 – Present
Fundamentals of Machine Learning
Microsoft Learn
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like retail demand forecasting, maritime safety (oil spill detection), agriculture (disease classification), and HR (skill gap analysis), indicating a broad interest and adaptability. Their involvement in student council activities and various certifications suggest a proactive, continuous learning mindset and a willingness to engage in different initiatives, which aligns well with a dynamic organizational culture. The target role of Data Analyst is well-aligned with their project experience and technical skills.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Analyst role. Their experience as an Executive Member in a student council highlights leadership, cross-functional collaboration, and communication skills, suggesting a good operational fit for team environments. The ability to manage events and collaborate across departments indicates organizational capabilities.