Notes

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%----------HEADING----------
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textbf{Huge scshape Preetham Kasyap Katepally} \ vspace{6pt}
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 and Engineering graduate with hands-on experience in textbf{financial data management}, AI-driven data pipelines, and enterprise-scale data transformation. Currently modernizing credit card processing systems at Fiserv, working across clearing, settlement, and transaction lifecycle data domains. Strong foundation in data quality frameworks, knowledge graph architectures, and analytical problem-solving with a minor specialization in FinTech.}

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section{Education}
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{Manipal Institute of Technology, India}{2021 -- 2025}
{BTech in Data Science and Engineering $|$ GPA: 7.45}{}
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resumeItem{Minor Specialization in textbf{FinTech} --- coursework in financial risk management, portfolio analytics, and digital payments.}
resumeItem{Achieved textbf{A+} in Financial Risk Management (FRM).}
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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 -- Data Modernization}{}
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resumeItem{Driving the modernization of a legacy textbf{credit card processing platform} (COBOL batch) into real-time streaming architecture, working across textbf{clearing, settlement, authorization, and rewards} data domains.}
resumeItem{Built an textbf{Enterprise Knowledge Graph (EKG)} mapping 50+ business processes, 800+ data entities, and their lineage --- serving as the single source of truth for financial data definitions and relationships.}
resumeItem{Designed and implemented a textbf{data validation and quality framework} with automated cross-reference checks, schema conformance scoring, and data completeness metrics across transaction lifecycle stages.}
resumeItem{Developed metadata-driven pipelines that transform raw financial data definitions into structured, governed schemas aligned to textbf{BIAN (Banking Industry Architecture Network)} service domain standards.}
resumeItem{Implemented multi-agent AI orchestration with automated feedback loops --- reduced manual data quality review cycles by 70% through iterative refinement and scoring.}
resumeItem{Technologies: Python, SQL, Apache Kafka, Apache Flink, Knowledge Graphs (RDF/SPARQL), Node.js, Java, Git.}
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{Mphasis (Client: JPMorgan Chase)}{Jan 2025 -- May 2025}
{Data Engineering & Analytics Intern}{}
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resumeItem{Built an automated textbf{resume parsing and scoring system} processing 500+ candidate profiles using NLP (spaCy) and TF-IDF similarity matching, with results stored in MongoDB for recruiter dashboards.}
resumeItem{Developed a textbf{data ETL platform} with SQL-based data cleaning, transformation pipelines, and Power BI dashboards enabling business stakeholders to self-serve analytical insights.}
resumeItem{Implemented data quality checks and validation rules to ensure accuracy and consistency of processed datasets.}
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{Digited Labs (Mphasis Subsidiary)}{June 2023 -- August 2023}
{Data Analyst Intern}{}
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resumeItem{Designed analytics dashboards and conducted exploratory data analysis, delivering data-driven recommendations that textbf{boosted user engagement by 25%}.}
resumeItem{Performed data profiling, anomaly detection, and trend analysis using Python and SQL on structured datasets.}
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%----------PROJECTS----------
section{Key Projects}
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{Financial Data Governance Platform}{Nov 2025 -- Present}
{Enterprise Knowledge Graph & Data Quality}{Mphasis / Fiserv}
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resumeItem{Architected a textbf{knowledge graph} (GraphDB, RDF/TTL, SPARQL) cataloging 800+ COBOL copybook fields, their business meanings, data types, and downstream consumers --- enabling automated data lineage tracking.}
resumeItem{Built automated textbf{data quality scoring} across 4 dimensions: schema completeness (30%), cross-reference integrity (30%), event sourcing compliance (15%), and PII governance (15%).}
resumeItem{Delivered curated, validated data definitions for 51 business processes spanning credit card lifecycle operations.}
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{FinTech Analytics -- Portfolio Risk Modeling}{2024}
{Academic Project -- Minor Specialization}{Manipal Institute of Technology}
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resumeItem{Applied Monte Carlo simulation and Value-at-Risk (VaR) methodologies to model portfolio risk for equity instruments.}
resumeItem{Built data pipelines ingesting market data feeds, computing statistical risk metrics, and generating analyst-ready reports.}
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%----------CERTIFICATIONS----------
section{Certifications}
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{IBM Machine Learning Specialization}{href{https://www.coursera.org/account/accomplishments/certificate/M9YGVB2BK3WK}{Certificate}}
{Coursera}{}
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{Exploratory Data Analysis for Machine Learning (with Honors)}{href{https://www.coursera.org/account/accomplishments/certificate/XYDGVB2EF7RT}{Certificate}}
{Coursera}{}
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%----------SKILLS----------
section{Skills}
begin{itemize}[leftmargin=0.15in, label={}]
small{item{
textbf{Languages & Querying:}{ Python, SQL, Java, SPARQL} \
textbf{Data Management:}{ Data Quality Frameworks, Data Lineage, Schema Governance, ETL Pipelines, BIAN Standards} \
textbf{Databases & Storage:}{ MongoDB, MySQL, PostgreSQL, GraphDB (RDF/TTL)} \
textbf{Streaming & Processing:}{ Apache Kafka, Apache Flink, Event-Driven Architecture} \
textbf{Analytics & Visualization:}{ Power BI, Tableau, Excel (Advanced), Pandas, NumPy} \
textbf{Tools & Platforms:}{ Git, Docker, Node.js, VS Code, Jira, Confluence} \
textbf{Domain Knowledge:}{ Credit Card Processing (Clearing, Settlement, Authorization), Financial Risk, BIAN Service Domains}
}}
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