Open to opportunities

Siddhi More

@siddhimore

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I build data pipelines, machine learning models, and dashboards that turn complex data into actionable insights.

India

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What I'm looking for

I'm looking to apply Python, SQL, machine learning, statistical analysis, and cloud computing to build reliable data-driven solutions and actionable insights.

I've built data-driven solutions across CRM analytics, machine learning, and civic information management. At IT-NetworkZ Pvt. Ltd., I engineered SQL-based ETL pipelines for more than 10,000 customer records, improving data retrieval efficiency by 35%.

I designed automated SaaS reporting dashboards for real-time stakeholder decisions and used statistical analysis to uncover usage patterns and product optimization opportunities. I also collaborated across teams to maintain data integrity and quality across information systems.

My projects include an Intelligent Bot Detection System that achieved 92% classification accuracy using Python, scikit-learn, pandas, feature engineering, and Random Forest optimization, as well as Matrubhoomi, a full-stack civic data reporting platform with validated, structured data and analytical dashboards.

Experience

Work history, roles, and key accomplishments

CRM Intern

IT- NetworkZ Pvt. Ltd

Dec 2023 - Feb 2024 (2 months)

Engineered data pipelines for CRM analytics, processing 10,000+ customer records with SQL-based ETL workflows, improving data retrieval efficiency by 35%. Designed and implemented automated reporting dashboards for SaaS platform metrics, enabling real-time data-driven decision making for stakeholders.

SQL ETL Data Pipelines Data Analytics Reporting Dashboarding Statistical Analysis Data Integrity Quality Assurance

Education

Degrees, certifications, and relevant coursework

K. K. Wagh Institute Of Engineering Education and Research

Bachelor of Engineering, Computer Engineering

Pursued a Bachelor of Engineering in Computer Engineering, with coursework in database management, data structures, statistical methods, machine learning, big data analytics, and information security.