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Diya PatelDP
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Diya Patel

@diyapatel3

Data Analyst & ML Engineer skilled in Python, SQL, Power BI, and predictive modeling.

India
Message

What I'm looking for

I seek roles where I can build and deploy ML models and analytics solutions, work cross-functionally, and contribute to data-driven product decisions.

I am a Data Analyst and ML Engineer with hands-on experience building data pipelines, dashboards, and machine learning solutions that inform business decisions. I have a strong academic foundation with a B.Tech in Information Technology and a high academic record.

In professional roles I built ML-based pricing models that improved forecast accuracy by 18%, created Power BI dashboards that cut manual reporting time by 60%, and performed data cleaning and analysis with SQL/Excel to improve data accuracy by 35%. I have implemented projects spanning MySQL utility management systems, payment system simulations, transportation dashboards, and high-accuracy consumption predictors.

I work with Python, SQL, Power BI, Pandas, NumPy and Scikit-Learn, and I enjoy applying EDA, feature engineering, regression, classification and time-series modeling to deliver measurable impact. I value collaboration, clear communication, and building production-ready analytics that drive decisions.

Experience

Work history, roles, and key accomplishments

CO

Data Analyst & ML Engineer

Codeinyourself

May 2025 - Nov 2025 (6 months)

Built ML-based pricing models that improved forecast accuracy by 18% and created Power BI dashboards that reduced manual reporting time by 60%; improved data accuracy by 35% through data cleaning and SQL/Excel analysis.

Education

Degrees, certifications, and relevant coursework

ST

Sarvajanik College of Engineering & Technology

Bachelor of Technology, Information Technology

2021 - 2025

Grade: 9.5/10

Activities and societies: Projects in SQL, Python, Power BI, and machine learning; extracurriculars include AutoCAD, social media content creation, and digital marketing.

B.Tech in Information Technology completed with a CGPA of 9.5/10, focusing on software, data analysis, and machine learning projects.

Tech stack

Software and tools used professionally

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