Curriculum Vitae
Motivated and skilled Engineering Professional with expertise in data analytics and fraud analyst. Adept at leveraging data-driven insights to optimize business processes and drive growth. Seeking a challenging position where I can apply my technical and professional knowledge to contribute to the success of an organization. Committed to delivering innovative solutions and driving continuous improvement.
Skills and Expertise
- Proficient in SQL, Python, and R for data manipulation, analysis, and statistical modeling.
- Experienced with data visualization tools such as Tableau and Power BI.
- Machine Learning: Supervised Learning, Unsupervised Learning, Model Deployment, Model Evaluation, Scikit-Learn, TensorFlow, PyTorch, Fraud Prevention.
- Strong background in data cleaning, transformation, and data integrity.
- Problem Solving and Analytical Skills including ETL and EDA using Python, Data Visualization, Exceptional analytical skills with the ability to identify and resolve complex problems, and experienced in identifying key business metrics and implementing effective solutions.
- Certified in Investment Risk Management and various Data Analytics related courses.
Education
[hidden] in Mechanical Engineering from Rajasthan Technical University, Kota – Graduation Year: 2018
Professional Experience
Data Analyst | Arise – Hyundai | May 2022 – Nov 2024
- Utilized Python for data cleaning and ETL processes, Power BI for DAX operations, and SQL/Excel for data analysis.
- Developed dashboards to monitor KPIs, calculated costs, and sales for comparison and trend analysis.
- Led projects involving data cleaning, analysis, and visualization to support decision-making processes.
Sr Operation | Indialends | Feb 2020 – April 2020
- Utilized Power BI for reporting, analyzed data for insights, and implemented data visualization techniques.
- Identified patterns and inconsistencies to improve loan processing efficiency.
Fraud Analyst | FIS Global | Dec 2017 – April 2019
- Monitored high-risk transactions, identified fraudulent activities, and assessed the organization’s vulnerability to fraud.
- Prepared detailed reports and conducted analyses to support risk assessment and prevention.
Projects
AI-Driven Exploratory Data Analysis for Vehicle Component Feedback (01 Feb 2025)
- Conducted data cleansing, keyword extraction, and entity recognition on customer feedback dataset.
- Generated meaningful tags, visualized data trends, and provided actionable insights for quality control.
GamePoints Analytics: Evaluating Player Points and System Fairness
- Analyzed player points for fairness and recommended system improvements using MySQL database.
Declaration: I confirm that the information provided by me is true to the best of my knowledge and belief.
Ibrahim Javid Bhat
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Cover Letter:
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