Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Data Scientist with hands-on experience analyzing large datasets, building predictive models, and delivering actionable insights for client-focused projects. I have a strong background in Python, SQL, Power BI, and statistical analysis, with experience supporting marketing, operations, and digital initiatives. I’m comfortable working independently in remote, fast-paced environments and presenting data-driven recommendations to stakeholders. I bring a strong foundation in data accuracy, cloud platforms, and analytics-driven decision making.…I am a Data Scientist with hands-on experience analyzing large datasets, building predictive models, and delivering actionable insights for client-focused projects. I have a strong background in Python, SQL, Power BI, and statistical analysis, with experience supporting marketing, operations, and digital initiatives. I’m comfortable working independently in remote, fast-paced environments and presenting data-driven recommendations to stakeholders. I bring a strong foundation in data accuracy, cloud platforms, and analytics-driven decision making.

Arham Siddiqui

Data Scientist, Data Analyst, AI Developer, +5





I am a Data Scientist with hands-on experience analyzing large datasets, building predictive models, and delivering actionable insights for client-focused projects. I have a strong background in Python, SQL, Power BI, and statistical analysis, with experience supporting marketing, operations, and digital initiatives. I’m comfortable working independently in remote, fast-paced environments and presenting data-driven recommendations to stakeholders. I bring a strong foundation in data accuracy, cloud platforms, and analytics-driven decision making.…I am a Data Scientist with hands-on experience analyzing large datasets, building predictive models, and delivering actionable insights for client-focused projects. I have a strong background in Python, SQL, Power BI, and statistical analysis, with experience supporting marketing, operations, and digital initiatives. I’m comfortable working independently in remote, fast-paced environments and presenting data-driven recommendations to stakeholders. I bring a strong foundation in data accuracy, cloud platforms, and analytics-driven decision making.

Available to hire

I am a Data Scientist with hands-on experience analyzing large datasets, building predictive models, and delivering actionable insights for client-focused projects.

I have a strong background in Python, SQL, Power BI, and statistical analysis, with experience supporting marketing, operations, and digital initiatives. I’m comfortable working independently in remote, fast-paced environments and presenting data-driven recommendations to stakeholders. I bring a strong foundation in data accuracy, cloud platforms, and analytics-driven decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist / Data Analyst (Marketing and Client Analytics) at Cyvora One

July 1, 2025 - Present

Analyzed large-scale campaign and performance datasets to generate actionable insights for client projects. Developed Python-based data cleaning and analysis workflows to improve data accuracy and reporting speed. Built interactive Power BI dashboards to track reach, engagement, ROI, and performance trends. Identified patterns in creator and campaign data to support strategic decision-making. Automated recurring reports, reducing manual reporting effort and improving turnaround time. Presented insights and recommendations clearly to non-technical stakeholders.

Data Analyst - Operations and Risk Analytics at LOG(N) Pacific

March 1, 2025 - Present

Analyzed structured operational and security datasets to identify risk trends and performance gaps. Used SQL and KQL-style querying to extract insights from large log and event datasets. Built dashboards to monitor key metrics and support data-driven operational decisions. Applied statistical analysis to prioritize risks and improve remediation outcomes. Collaborated cross-functionally to define data requirements and reporting objectives.