sadika shk
@sadikashk
I build machine learning models and data workflows that turn business data into decisions.
What I'm looking for
I've resolved 1,000+ technical incidents at Mphasis while maintaining 95%+ SLA compliance, using root-cause analysis, structured documentation, and clear communication across engineering and infrastructure teams.
I've built end-to-end machine learning projects for customer churn, house-price prediction, and sales forecasting using Python, Pandas, Scikit-learn, and Power BI. My churn model achieved 86% accuracy and 0.84 ROC-AUC, while my house-price model reached an R² score of 0.91 and reduced RMSE by 22% versus baseline.
Experience
Work history, roles, and key accomplishments
Service Desk Analyst
Mphasis
Jul 2025 - Present (1 year 3 months)
Analyzed and resolved 1,000+ technical incidents and service requests via ServiceNow, applying structured root-cause analysis to identify recurring failure patterns. Maintained 95%+ SLA compliance by prioritizing tickets based on business impact and urgency.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Bachelor of Computer Science, Computer Science
2022 - 2025
Pursued a Bachelor of Computer Science degree, gaining a strong foundation in programming, data structures, and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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