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About

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Mohit Appari

Student
Florida State University
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Someone who loves data and everything related to it. Current ventures lie in the field of data engineering and machine learning. Looking for exciting opportunities to work and collaborate with bright minds and explore the world of data together.

If you're embarking on an exciting project or seeking fresh perspectives, don't hesitate to reach out via Mail or Whatsapp.  I'm always eager to connect, exchange ideas, and explore new avenues of exploration and growth together.



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

AI & Data Research Intern  @  Florida State University
June 2024 – September 2024
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Implemented and evaluated Generative AI models (GANs, VAEs, RNNs) for data synthesis, improving model training efficiency by 25%.
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Optimized NequIP on a dataset of 11,043 materials using HPC clusters, improving prediction accuracy by 15% and reducing computational time by 20%.
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Fine-tuned hyperparameters, boosting performance metrics by 30% for molecular property predictions.
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Data Engineer  @  S&P Global
January 2022 – August 2023
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Built Python-based ETL pipelines using Apache Spark and Hadoop, cutting processing time by 40% and reducing costs by 25%.
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Automated data extraction from 100K+ files daily using OCR and libraries like pdfplumber, improving efficiency by 50%.
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Developed Tableau dashboards and scalable storage with AWS, MySQL, PostgreSQL, and Oracle for data-driven decisions.
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Python Developer Intern  @  LG
May 2021 – August 2021
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Created a drowsiness detection system using Python, OpenCV, and YOLO on Raspberry Pi, achieving 90% facial landmark detection accuracy.
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Led a smart logistics system project using CNNs, reducing package sorting time by 25%.
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Built ETL pipelines using Pandas and Prefect; integrated IoT sensor data into PostgreSQL using REST APIs.
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Python Developer Intern  @  ITC
January 2021 – March 2021
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Developed a web application using Flask with MySQL and PostgreSQL for master data management.
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Automated ticket creation workflows with Python scripts, enabling real-time inventory tracking.
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Built interactive dashboards using Tableau and Power BI via Microsoft Power Platform for actionable insights.
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