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Data Analyst with less than a year in data visualization and machine learning.
Detail-oriented B.Com graduate with hands-on training in Data Analytics, equipped with strong expertise in MySQL, Power BI, Tableau, Machine Learning, and Advanced Excel. Adept at transforming raw data into actionable insights, building impactful dashboards, and driving data-informed decision-making. Passionate about uncovering trends and solving business problems through analytics. Highly motivated to launch a career as a Data Analyst while continuously advancing technical and analytical skills.
SRS FIRST GRADE COLLEGE DVG UNIVERSITY
BACHELOR OF COMMERCE
August 1, 2025 – June 30, 2025
SRS Pu College
PUC
June 1, 2022 – May 31, 2022
Indian International School
XTH
June 1, 2020 – May 31, 2020
Fraud Detection in Online Transactions
June 22, 2026 – Present
This project focuses on detecting fraudulent transactions in real time by analyzing financial transactions using machine learning techniques. The system processes transactional data, extracts meaningful features, and classifies transactions as fraudulent or legitimate using models like Random Forest, XGBoost, and Isolation Forest. The fraud detection pipeline integrates with a banking system for instant alerts. Roles & Responsibilities: Collect and preprocess financial transaction data from multiple sources. Perform feature engineering to extract key fraud-related indicators. Train and fine-tune models such as Random Forest, XGBoost, and Isolation Forest. Implement real-time fraud detection using Apache Kafka or Spark Streaming. Continuously monitor model performance and update it with new fraudulent patterns.
Data Science & Analytics
Imarticus Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on fraud detection shows an interest in practical, problem-solving applications of data science, which aligns with a results-oriented culture. The pursuit of a Data Science & Analytics certification indicates a proactive learning attitude. However, the lack of diverse projects or professional experience makes it challenging to fully assess cultural fit beyond a general willingness to learn and apply technical skills.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, team collaboration, communication, and business understanding as soft skills. The project description indicates an ability to work through a data analysis pipeline, suggesting some operational fit for data-driven roles. However, without actual work experience or detailed project outcomes, the practical application of these soft skills is difficult to fully assess.