Notes

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%----------HEADING----------
begin{center}
textbf{Huge scshape Preetham Kasyap Katepally} \ vspace{4pt}
small 891-907-7168 $|$
href{mailto:[email protected]}{underline{[email protected]}} $|$
href{https://www.linkedin.com/in/preetham-kasyap-636803222/}{underline{LinkedIn}} $|$
href{https://drive.google.com/drive/folders/1j8aBD78NYqtxSjK8_Cvs0FMrYsuV7j2N}{underline{Portfolio}}
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%----------SUMMARY----------
section{Summary}
small{Data Science graduate with 8+ months of experience managing textbf{financial data at enterprise scale} in credit card processing. Designs data quality frameworks, knowledge graphs for governance, and AI-driven pipelines (AWS Bedrock, RAG, Reinforcement Learning) to deliver validated data assets across clearing, settlement, and transaction lifecycle domains. FinTech specialization with strong analytical and research skills.}

%----------EDUCATION----------
section{Education}
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{Manipal Institute of Technology, India}{2021 -- 2025}
{BTech in Data Science & Engineering $|$ GPA: 7.45}{}
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resumeItem{Minor in textbf{FinTech} (A+ in Financial Risk Management) --- risk management, portfolio analytics, digital payments.}
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{ESIGELEC, Rouen, France}{Feb 2024 -- July 2024}
{Semester Abroad -- MSc in Software Engineering & Digital Transformation $|$ 70%}{}
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%----------EXPERIENCE----------
section{Experience}
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{Mphasis (Client: Fiserv -- Credit Card Issuer Processing)}{Nov 2025 -- Present}
{AI Developer -- Financial Data Modernization}{}
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resumeItem{Modernizing textbf{credit card transaction data} (750+ legacy programs) across clearing, settlement, authorization, and rewards --- ensuring data integrity and governance throughout transformation.}
resumeItem{Built an textbf{Enterprise Knowledge Graph} (800+ entities, full lineage) as the authoritative source for financial data definitions, business rules, and downstream consumer mappings.}
resumeItem{Designed textbf{automated data quality scoring} with cross-reference checks, schema conformance, and PII governance --- reducing manual validation effort by 70%.}
resumeItem{Architected a textbf{20-phase AI pipeline} (Claude/AWS Bedrock, RAG via GCP Vertex AI, Reinforcement Learning) that auto-generates and validates transformation logic with human-in-the-loop review.}
resumeItem{Delivered governed schemas aligned to textbf{BIAN} banking standards for 51 processes; consistent data contracts across Kafka/Flink streaming and batch systems.}
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{Mphasis (Client: JPMorgan Chase)}{Jan 2025 -- May 2025}
{Data Engineering & Analytics Intern}{}
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resumeItem{Built automated textbf{resume parsing & scoring} processing 500+ profiles using NLP (spaCy, TF-IDF) with MongoDB storage and recruiter dashboards.}
resumeItem{Developed a textbf{data ETL platform} with SQL-based cleaning, transformation pipelines, and Power BI dashboards for self-serve analytics.}
resumeItem{Implemented data quality checks and validation rules ensuring accuracy and consistency of processed datasets.}
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{Digited Labs (EdTech Startup)}{June 2023 -- August 2023}
{Data Analyst Intern}{}
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resumeItem{Analyzed quiz completion and content interaction data to identify drop-off patterns; built dashboards and recommendations that textbf{improved learner engagement by 25%}.}
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%----------PROJECTS----------
section{Projects}
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{Financial Data Governance & AI Platform}{Nov 2025 -- Present}
{Enterprise-scale pipeline: curate, validate, transform legacy data into streaming contracts}{Fiserv}
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resumeItem{RAG retrieval (Vertex AI) + RL feedback loops refine data mappings to 85%+ accuracy; 51 processes validated, 6000+ rules generated, quality scored across 4 dimensions (completeness, integrity, compliance, governance).}
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{Portfolio Risk Modeling -- Monte Carlo VaR Simulation}{2024}
{Built equity portfolio risk pipelines (market data ingestion, VaR computation, analyst reports)}{MIT FinTech Minor}

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%----------CERTIFICATIONS----------
section{Certifications}
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small{
textbf{IBM Machine Learning Specialization} (Coursera) $|$
textbf{Exploratory Data Analysis for ML -- with Honors} (Coursera)
}
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%----------SKILLS----------
section{Skills}
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small{item{
textbf{Languages:}{ Python, SQL, Java, SPARQL} quad
textbf{Cloud/AI:}{ AWS Bedrock, GCP Vertex AI, RAG, LangChain} quad
textbf{Streaming:}{ Kafka, Flink} \
textbf{Data:}{ Data Quality, Lineage, Schema Governance, ETL, BIAN Standards, Knowledge Graphs (RDF/TTL)} \
textbf{Tools:}{ Git, Docker, Node.js, React, MongoDB, PostgreSQL, Power BI, Tableau, Excel, Jira} \
textbf{Domain:}{ Credit Card Processing (Clearing, Settlement, Authorization), Financial Risk, BIAN Service Domains}
}}
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