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About

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Mohit Appari

Data Scientist
APD State of Florida

Hello! I'm a Data Scientist with 5 years of experience working across software development, AI, and machine learning. I have a keen interest in, and a real passion for, mathematics, finance, econometrics, and forecasting. Time series and forecasting really fascinate me. They make me wonder how the future could be predicted, and how useful that is across so many areas and research.

After a couple of internships, I started my full-time software development career at S&P Global in 2022. What started as an internship quickly turned into a full-time role leading a team of five, mentoring, and building the next-gen workflow automation data pipeline in native Python.

My passion for machine learning goes back to my undergrad days in computer science, which led me to pursue a master's in data science at Florida State University (2023-2025). I had a wonderful time learning, researching, and building. I worked as a research assistant under a chemistry professor, researching and implementing generative AI and open-source models on HPC clusters to synthesize molecular models and study stability for batteries.

I then joined the Agency for Persons with Disabilities (State of Florida) as a research statistics consultant (data scientist) in the agency's data unit, working with large-scale consumer and client data: providers, services, budget allocations, Medicaid, cost analysis, rate optimization, and a whole bunch of statistical analysis about our consumers!

Through all these years, I slowly grew a passion for financial markets: the mathematics behind breakthrough models like Black-Scholes, CAPM, and ARIMA, the theory and intuition behind the options market, and quantitative analysis and research in general, which is now something I'm eagerly pursuing.

My current day-to-day is a juggle between work and a personal quest for knowledge. Work involves writing and maintaining scripts and automations, modernizing legacy thinking and systems at the state, and handling data efficiently at speed. I use SPSS, Python, and SQL for most of my workflow. I run analysis and research behind every question that comes across the agency, whether it's about numbers, finances, or anything else, and use data to give management the key insights to answer those questions and take better actions. That's also the reason forecasting became such a keen interest of mine.

I'm constantly learning, solving puzzles (trader math, LeetCode, quick math, Wordle), and studying economics, finance, and forecasting in general.

I strive to be a subject matter expert and a professional in this field, and to use data and history to take a better, data-driven look into the future.

Check out some of my photography work on VSCO.

About this site

Welcome to my home on the internet. This site functions as a blog/portfolio, a place to share code and thoughts. Opinions of my own.

I learnt how to build this site from the most awesome people in the community:

Experience

Jun 2025 – Present
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Built and optimized 15–20 automated Python/SPSS pipelines across Medicaid claims, FMMIS, iConnect, and Azure, tuning SQL over millions of records to cut processing time by 83%.
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Forecasted expenditure across $200M+ in payments using ARIMA, regression, and XGBoost/LightGBM, within 5–10% of actuals, to guide budgeting and rate decisions.
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Initiated and led Power BI dashboards on service utilization, regional trends, and spending, used by executive leadership for programs serving 60K+ individuals.
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Detected billing outliers and ran hypothesis and A/B tests in Python and SPSS to answer stakeholder questions on consumers, providers, and payments.
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AI/ML Researcher @ Florida State University
Jun 2024 – Sep 2024
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Fine-tuned NequIP, an equivariant GNN, on 11K+ material structures with a custom weighted loss, cutting validation error by 15%.
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Built reproducible training pipelines with Python, Docker, MLflow, and HPC, enabling tracked, repeatable experiments.
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Selected the best model architecture through controlled experiments, hypothesis testing, and out-of-sample validation.
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Software Developer @ S&P Global
Jan 2022 – Aug 2023
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Led the migration of legacy .NET document-processing workflows to a scalable open-source Python extraction platform, cutting licensing costs by 80%.
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Mentored a 5-person team and helped architect and roll out systems processing 10K+ financial, energy, and automotive documents per day at 95% extraction accuracy.
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Built OCR and CNN classification workflows with Tesseract and PyTorch, turning unstructured financial filings and earnings data into structured datasets for downstream analytics.
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Engineered fault-tolerant AWS/Docker pipelines with event-driven ingestion, retries, validation, and GitHub Actions CI/CD at 80% test coverage, reducing manual extraction by 90%+.
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Software Developer Intern @ LG Electronics
May 2021 – Aug 2021
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Built real-time drowsiness detection and logistics tracking with Python, OpenCV, and YOLO, hitting 90% accuracy, cutting sorting time by 25%, and placing 3rd in LG’s internal Ideathon.
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Software Developer Intern @ ITC Infotech
Jan 2021 – Mar 2021
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Developed Flask REST APIs with MySQL for master-data management, role-based access, and automated product tracking, reducing manual workload by 30%.
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Education

Masters in Data Science @ Florida State University
Aug 2023 – May 2025
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Cumulative GPA: 4/4
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Coursework: Statistics, Mathematics, Research, LLMs, Analytics, AI, Databases, Big Data, Business and Finance
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Bachelors in Computer Science @ Christ University
Aug 2018 – May 2022
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Cumulative GPA: 3.85/4
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Coursework: Data Structures, Operating System, Software Architecture, Programming, Networking, Communication, SDLC
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Skills

AI/ML
LLMsRAGMCPAI AgentsLangChainLangGraphLlamaIndexPyTorchTensorFlowscikit-learnClaudeCodexGeminiCohereOllamaPineconeSupabaseW&BMLflow
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Statistics & Forecasting
Time Series ForecastingARIMAGARCHRegressionDecompositionHypothesis TestingA/B TestingPredictive AnalyticsRSPSSSAS
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Quantitative Finance
Market ResearchEquity AnalysisDerivativesOptions PricingGreeksVolatilityFinancial ModelingAlpha Research
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Data Engineering & Infrastructure
PythonSQLPostgreSQLMySQLOracleSQL ServerMongoDBRedisCassandraNeo4jDuckDBSnowflakeDelta LakeAWSGCPAzureKubernetesDockerTerraformAirflowdbtKafkaHadoopSparkGitGitHub ActionsCI/CDLinuxBashPower BI
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