Headline

Data Analyst @ Flutter Entertainment India || Data Analytics || Data Science || Machine Learning || Artificial Intelligence || IIT Roorkee

About

As an Integrated MSc student in Applied Mathematics at IIT Roorkee, I have developed strong skills in data structures, algorithms, and programming. I have also gained hands-on experience in data cleaning, model selection, and machine learning techniques through various projects and internships. Most recently, I worked as a Data Analyst/Scientist at Pantech Solutions, where I executed advanced analytics on datasets pertaining to breast cancer, engine energy prediction, movie recommendation, and web ad optimization. I used regression, SVM, k-means clustering, decision tree classifier, and reinforcement learning algorithms to derive insights and solutions from the data. I am passionate about learning new things and contributing to the world with my skills and knowledge.

Location

Mandsaur

AI stack

antigravity

cursor

grok

hugging face

langchain

langgraph

Work experience

Data Analyst at Flutter Entertainment India, Nov 2023 - Present · 3 yrs 1 mo, Hyderabad, Telangana, India, Automated recurring KPI monitoring and reporting workflows using SQL, Python, and MicroStrategy, reducing manual reporting effort by ~70%, improving reporting accuracy, and enabling faster decision-making across business and compliance teams. Developed an XGBoost-based user risk and retention prediction model, leveraging historical player behavior data (deposits, withdrawals, risk scores, flags, and privilege usage) to predict next-month retention and risk score escalation, enabling earlier Safer Gambling and retention interventions. Performed SQL-based data extraction and transformation, and applied feature engineering on transactional and behavioral trends (recency, frequency, rolling aggregates, trend-based features) to create ML-ready datasets. Designed and maintained automated data pipelines to generate high-frequency operational and regulatory reports, ensuring data integrity and audit readiness through validation checks and reconciliation across multiple source systems. Applied predictive analysis and classification techniques (logistic regression, tree-based models) to identify users with elevated risk signals based on historical behavior and activity patterns. Utilized segmentation and unsupervised learning techniques to group users based on behavioral patterns and risk indicators, supporting targeted operational, retention, and marketing strategies. Engineered behavioral and temporal features from transaction, gameplay, and intervention data to support downstream analytical and modeling use cases. Delivered analytical reports and dashboards to stakeholders across marketing, risk, fraud, and compliance teams, translating complex data and model outputs into actionable insights. Provided ongoing ad-hoc analytical support, including metric deep dives and anomaly investigations, helping teams identify emerging trends and potential risk signals in user behavior data.

Education

Integrated MSc. in Applied Mathematics, Mathematics, Indian Institute of Technology, Roorkee

Intermediate, Math Science, N.S.Singhvi School Mandsaur

Public links

github: https://github.com/Anik-et

leetcode: https://leetcode.com/lucky_002