Rahil Kothari

Intern

Mumbai, Maharashtra, India2 yrs 2 mos experience

Highly Stable

Key Highlights

Engineered AI/ML solutions for event management.
Automated incident creation, reducing manual effort by 50%.
Created interactive dashboards for data visualization.

Stackforce AI infers this person is a Data Analyst with expertise in AI/ML and Data Visualization in IT Services.

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Skills

Core Skills

Data AnalysisMachine LearningData Visualization

Other Skills

AIOpsAnalytical SkillsAndroid StudioAutomationCommunicationData ModelingData ModellingDeep LearningEvent ManagementExcelMicrosoft AzureMicrosoft ExcelProblem SolvingPythonServiceNow

About

Data Enthusiast | From Raw Datasets to Real-World Solutions As a Computer Science graduate with a strong inclination toward data-driven problem solving, I’ve cultivated skills in Python, SQL, Machine Learning, and Data Visualization. Through certifications and hands-on projects, I’ve worked extensively on analyzing real-world datasets, building predictive models, and creating interactive dashboards using tools like Tableau. My experience spans the full lifecycle of data work — from gathering and cleaning data to performing exploratory analysis, building automation, and presenting insights to stakeholders. I enjoy turning complexity into clarity, whether it’s through scripting, modeling, or visual storytelling, and constantly look for ways to make processes more efficient and intelligent. With a passion for continuous learning and a strong technical foundation, I’m now focused on growing further in the data domain. I aim to contribute to impactful projects, stay adaptable with evolving tools, and be part of a space where data drives meaningful change.

Experience

Fynd

AI Intern

Oct 2025 – Nov 2025 · 1 mo · Mumbai, Maharashtra, India

Tata consultancy services

System Engineer - AIOps

Jul 2021 – Sep 2023 · 2 yrs 2 mos · Mumbai, Maharashtra, India

Engineered an AI/ML-powered event management pipeline using TCS Ignio and ServiceNow to automatically classify alerts, reducing false positives and streamlining incident routing.
Reduced manual effort by ~50% by automating the creation of genuine incidents, allowing only validated issues to reach support teams for manual resolution.
Managed and analyzed 1,00,000+ alerts monthly, performing data analysis in Python and Excel to detect recurring patterns and recommend automation opportunities.
Led the development of a Pre & Post patching automation use case across 400–500 servers, tracking service status changes and generating automated email reports for clients.
Created and maintained interactive dashboards and charts to visualize key system metrics, improvements, and trends for stakeholders and client presentations.
Collaborated cross-functionally with internal teams and clients to gather requirements, check feasibility, develop automation scripts, and drive solutions through the entire SDLC — from concept to production and ongoing maintenance.

Tcs IgnioServiceNowPythonExcelData AnalysisData Visualization+1

The sparks foundation

Data Science and Analytics Intern

Aug 2020 – Aug 2020 · 0 mo

Kpmg

Data Analyst Consultant

Jun 2020 – Jun 2020 · 0 mo

Performed end-to-end analysis on a KPMG-provided dataset, including data cleaning, preprocessing, visualization, and predictive modeling to identify high-value customer segments and provide actionable insights for business focus.