Prakash Lakkakula
Data Analyst @高盛
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WORK HISTORY
Data Analyst @高盛
US
Led Trade Surveillance and Fraud Detection Analytics initiative, analyzing over 50 million equity and derivatives trades to detect marketmanipulation and insider trading patterns using SQL and Python, identifying market abuse patterns and supporting regulatoryinvestigations and compliance decision-making.• Engineered ETL pipelines using SQL and data transformation techniques, integrating multi-source trading data into AWSS3 and Redshift,ensuring data quality and consistency, supporting scalable and accurate downstream analytics across platforms.• Performed data cleaning and wrangling using Python, Pandas, and NumPy, structuring high-volume datasets, reducing noise significantlyand improving anomaly detection accuracy by 25% across complex trading transaction data environments.• Built anomaly detection models usingScikit-learn, leveraging clustering and time series analysis, identifying suspicious trading behaviors,reducing fraud risk exposure by 22% and strengthening surveillance capabilities across equity markets.• Designed interactive Tableau dashboards and Advanced Excel reports, visualizing key risk indicators and anomalies across 5 million dailytransactions, enabling real-time monitoring and enhancing decision-making efficiency for compliance teams.• Collaborated with cross-functionalteams using JIRA within AgileScrum framework, conducted hypothesis testing and statistical analysis,delivering actionable insights, reducing false positive alerts by 18% and strengthening regulatory compliance outcomes.
EDUCATION
Saveetha School of Engineering
Bachelor's degree, Electrical, Electronics and Communications Engineering
University of North Texas
Master's degree, Advanced data analytics
St Anns High School (SSC)
High School
Narayana Junior College - India
Intermediate, MPC(Maths, Physics, And Chemistry)
ABOUT PRAKASH LAKKAKULA
Currently pursuing a Master\'s in Advanced Data Analytics at the University of North Texas, with a strong foundation in Python, SQL, and Tableau. Recently contributed to OpenBrains AI as a Chatbot Developer, where efforts focused on enhancing conversational AI solutions to improve user engagement and functionality. Past roles at Accenture and British Airways included designing predictive models, optimizing data processes, and creating interactive dashboards that drove strategic decisions. Motivated to apply analytical skills and collaborative approaches to tackle real-world challenges and deliver impactful insights.
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