Mohit Maithani

Data Analyst (Quality System & Compliance)

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Mohit Maithani is a data-savvy analyst with 8 years of experience building compliance-ready analytics across pharmaceuticals, FMCG, manufacturing, and IT, now driving Quality System & Compliance data initiatives at Alkermes. He blends data engineering, data science, and BI—developing cloud-ready Snowflake interfaces, RAG pipelines with LLMs and OCR, and end-to-end automation—to turn regulatory and business data into actionable insights. Comfortable with stakeholder-facing roles, Mohit has a proven record of streamlining compliance reporting and creating new data streams that improve decision quality. A Northeastern analytics master with deep programming chops in Python, PowerBI, Power Query and web APIs, he pairs technical rigor with strong communication and a knack for visual storytelling. Notably, his background includes overseas sales and exhibitions, giving him uncommon cross-cultural experience for a data professional.
code8 years of coding experience
job4 years of employment as a software developer
bookBTech - Bachelor of Technology, Computer Science and Engineering, First with honours, BTech - Bachelor of Technology, Computer Science and Engineering, First with honours at Kurukshetra University
bookAdvance Program in Data Science, Data Science, Advance Program in Data Science, Data Science at International Institute of Information Technology Bangalore
bookMaster's degree, Analytics, Master's degree, Analytics at Northeastern University
languagesEnglish, Hindi
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Github Skills (82)

notebook10
shodan10
self-attention10
efficientnet10
data-wrangling10
wikidata10
crossword10
jupyter10
data-science10
wikimedia10
java10
google-colaboratory10
jupyter-notebook10
data-analysis10
openrefine10

Programming languages (7)

JavaShellCJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Predicting if a mass detected in a mammogram is benign or maligant ,on the basis of that we can easily tell that whether its sign of cancer or not. previously this work is done using seeing the mammogram image manually by doctor predicting whether its maligant or not but now we are using Machine learning model to learn from previous patient data and predict for new patient whether they have to worry or not.
Contributions:13 commits in 1 year 5 months
pythonknn-classificationsigndeep-learningpatient
Contributions:2 releases, 193 pushes, 1 branch in 2 years 5 months
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Mohit Maithani - Data Analyst (Quality System & Compliance)