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Data Analyst with 2+ years in SQL, Python, & Excel for Risk & Fraud Analytics.
Over 2 years of substantial IT experience as Data Analyst at Flipkart leveraging SQL, Python, and Excel to analyse large-scale transactional datasets, detect patterns, and deliver data-driven insights that reduced business risk. Hands-on experience building MIS dashboards, performing cohort and trend analysis, writing automated Python scripts, and applying machine learning techniques for predictive modeling. B.Tech in Computer Science Engineering with a strong foundation in data analysis, statistics, and programming. Seeking to transition into an IT role as a Data Analyst, Risk Analyst, or Business Analyst where domain expertise in e-commerce data combined with technical skills can drive measurable business impact. Aspiring to grow within a data-driven organization where I can contribute to strategic decision-making, develop expertise in advanced analytics and machine learning, and take on increasing responsibility in solving complex business problems. Committed to continuous learning and staying current with emerging data technologies to deliver long-term value to the organization.
Annamacharya Institute of Technology and Sciences
B.Tech · Computer Science Engineering
August 1, 2019 – June 30, 2023
Flipkart
Data & Risk Analyst — Fraud & Re-sellers Intelligence
January 1, 2024 – Present
Andhra Pradesh, India
Next Generation Risk Stratification of ICU Patients Using Machine Learning
June 24, 2026 – Present
Designed and trained an ML classification model to predict patient risk levels from structured clinical data — demonstrating end-to-end data pipeline skills from raw data ingestion to model evaluation. Performed feature engineering, statistical analysis, and model tuning using Scikit-learn and Pandas to optimise predictive accuracy — skills directly applicable to risk scoring, fraud signal modelling, and data analyst roles. Automated data preprocessing and pipeline steps using Python, reducing manual data preparation effort and improving reproducibility of analytical outputs.
Cultural Fit Analysis
The candidate's experience at Flipkart, a large e-commerce company, suggests adaptability to fast-paced, data-intensive environments. Their project work involving machine learning for risk stratification indicates an interest in leveraging advanced techniques, aligning with a data-driven culture. The breadth of skills across SQL, Python, Excel, and Power BI shows a versatile approach to data challenges, which is beneficial for team collaboration and diverse project contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their work in fraud detection and risk analysis. Their experience in automating data workflows suggests an operational efficiency mindset. The ability to present findings to senior stakeholders indicates good communication and presentation skills, crucial for a data analyst role.