Ajith Ravindran

Product Manager

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

  • Expert in data-driven business strategy development.
  • Proven track record in enhancing operational efficiency.
  • Skilled in developing machine learning models for insights.
Stackforce AI infers this person is a Data Analyst with expertise in SaaS and IoT industries.

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Skills

Core Skills

Data AnalysisBusiness IntelligenceData ScienceBusiness AnalysisProject Management

Other Skills

Data VisualizationSQLPythonMicrosoft ExcelPower BIMySQLCritical ThinkingQuality AssuranceData IntegrityBusiness Intelligence (BI)Attention to DetailData AnalyticsBusiness Intelligence ToolsRequirements AnalysisMicrosoft Power BI

Experience

4 yrs 7 mos
Total Experience
1 yr 6 mos
Average Tenure
1 yr 5 mos
Current Experience

Indegene

Product Analyst

Jan 2025Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Turnb

Analyst

Mar 2024Dec 2024 · 9 mos · Kochi, Kerala, India · On-site

  • Spearheaded data-driven business strategy development by delving into complex data landscapes and applying structured analytical frameworks:
  • Data Analysis and Transformation: Delivered over 10 data analysis projects, improving data accuracy. Transformed and analyzed data proficiently using Microsoft Excel & SQL, enabling actionable insights.
  • Dashboard Development: Designed and developed dynamic, interactive business 10+ Power BI dashboards to support strategic decision-making, reducing reporting time by 50% and providing insights that led to a 20% increase in retail sales and operational efficiency.
  • Automation and Optimization: Implemented 10+ automated data pipelines using Python and MySQL, reducing manual data handling by 85%, and saving over 100 work hours annually.
  • Stakeholder Collaboration: Led client engagements with 10+ stakeholders, delivering solutions that increased user adoption by 60% and improved customer satisfaction scores by 30%.
  • Model Development: Leveraged Python for advanced data analysis & developed 5+ machine learning models uncovering nuanced patterns and trends, enhancing fraud detection accuracy by 80%.
  • Project Documentation: Compiled comprehensive documents for 10+ projects, improving transparency and securing 95% client retention through clear communication of insights and optimization results.
  • Thrived in a dynamic work environment, continually embracing new challenges in data dynamics and fostering skill enhancement.
Data AnalysisData VisualizationSQLPythonMicrosoft ExcelPower BI+1

Software associates

Business Analyst

Oct 2021Mar 2024 · 2 yrs 5 mos · Kozhikode, Kerala, India · On-site

  • I had the privilege of utilizing my skills and expertise to make a significant impact:
  • Conducted Requirement Analysis for 20+ IoT projects, enhancing efficiency by 40% and contributing to revenue growth of $50K+ through innovative development.
  • Created & managed the Product Backlog for Sensor Vision (web application), ensuring timely feature delivery and tracking progress to meet project milestones effectively.
  • Collaborated with the design team to improve the UI/UX of web applications, enhancing the look and feel for better customer experience and increasing user engagement.
  • Performed in-depth User Acceptance Testing (UAT) for multiple applications, ensuring all documented requirements were met & creating comprehensive UAT test cases.
  • Led QA initiatives for key projects, producing detailed QA documentation and ensuring quality standards were consistently met to exceed client expectations.
  • Worked cross-functionally with 5+ teams, leading efforts that improved project performance by 35% and ensured the timely delivery of 12 critical client applications.
  • Created & maintained detailed project documentation, including Business Requirements Documents, Documents of Understanding and Project Review documents for 20+ projects.
  • Improved business processes and project performance by organizing and conducting review meetings, addressing risks, discussing learnings, and recommending improvements.
  • Proactively identified and resolved project risks, reducing potential delays and ensuring project deliverables aligned with business objectives.
  • Ensured effective communication with stakeholders, translating complex requirements into actionable solutions and maintaining a focus on business value throughout the project lifecycle.
Data AnalysisData VisualizationBusiness AnalysisProject Management

Education

Rajagiri Centre for Business Studies

Master of Business Administration - MBA

National Institute of Technology Calicut

B. Tech — Electronics and Communication Engineering

M.E.S INDIAN SCHOOL

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