Mohammad Danish

Results-driven Data Analyst with expertise in Power BI, Python, SQL, and Advanced Excel. Experienced in building interactive dashboards, automating reporting workflows, and delivering actionable business insights. Improved reporting efficiency by 30%, supported 17% YoY revenue growth, and developed ML models with 87%+ accuracy. Based in India and open to relocation for Data Analyst, BI Analyst, and MIS Executive opportunities in the UAE

Data Analyst at RJPatel Solutions FZE LLC (2026-01 – 2026-06)

• Designed and deployed 5+ interactive Power BI dashboards for real-time business performance tracking, reducing manual reporting time by 10+ hours/month and enabling faster management decisions.
• Automated performance tracking workflows using Python, improving reporting efficiency by 30% and directly supporting 17% YoY revenue growth through enhanced business metric visibility.
• Conducted share price trend analysis using Python (Pandas, Matplotlib) to identify investment opportunities, improving asset allocation and portfolio strategy.
• Collaborated with cross-functional teams to gather requirements and translate business needs into data visualization and reporting specifications.

Data Science Intern at Learn With Vern Pvt. Ltd (2025-09 – 2025-11)

• Completed 200+ hours of Data Science training under Skill India & NSDC; certified in advanced analytics, ML techniques, and Python programming.
• Built predictive classification models achieving 85%+ accuracy using supervised and unsupervised learning on real-world datasets.
• Created data visualization dashboards (Matplotlib, Seaborn) to communicate analytical findings to non-technical stakeholders.

Web Development Intern at CodSoft (2024-07 – 2024-12)

• Delivered 10+ responsive web applications using HTML, CSS, and JavaScript, on time and within scope in a fully remote, international team.

Bachelor of Technology (B.Tech) in Computer Science – Sagar Institute of Research and Technology (2022 – 2025)

Diploma in Computer Science in Computer Science – Silli Polytechnic (2019 – 2022)