Manali Kulkarni
100K+| Data analytics + Statistical thinking for real-world decisions | Career clarity coach (Guided 2000+ professionals to become job-ready)
Followers
123,163
Typical engagement per post
445
How often they post
Every 2 weeks
Engagement per 1,000 followers
3.61
Profile figures as of October 2026.
About
I’m a Data Analytics & Data Science professional with 5+ years of experience turning complex data into actionable business insights through analytics, statistical thinking, automation and AI/ML.My core expertise spans Python, SQL, Power BI, Statistics, Pandas, data visualization, KPI engineering, data processing and business intelligence. I enjoy working on problems where large datasets need to be transformed into reliable insights, reusable analytical workflows and decision-support solutions.Alongside my analytics experience, I have hands-on exposure to Machine Learning, NLP, Transformers, sentiment analysis, conversational AI and AI-powered automation. My work includes building analytical intelligence platforms, NLP pipelines, KPI engines, automated reporting workflows and AI-enabled solutions.Areas I work across:• Data Analytics & Business Intelligence• Python, SQL & Statistical Analysis• Power BI, Excel & Data Visualization• Data Cleaning, Transformation & Validation• KPI Engineering & Performance Analytics• Data Automation & Reporting• Machine Learning & Predictive Analytics• NLP, Sentiment Analysis & Text Classification• Conversational AI & AI Automation• Feature Engineering & Data IntelligenceSelected work includes building data-intelligence platforms processing 150K+ learner records, developing NLP-based sentiment intelligence pipelines, creating performance analytics systems using 187K+ records, and working on ML and conversational AI solutions.I also enjoy sharing what I learn with the wider Data & AI community.Over the years, I have built a 100K+ professional community on LinkedIn and mentored 2,000+ students, freshers and working professionals across Data Analytics, Data Science, AI and technology careers.This combination of hands-on analytics, AI/ML exposure and community building allows me to approach data problems from both a technical and business perspective.I’m open to opportunities across Data Analytics, Data Science, Business Intelligence, AI/ML and data-driven business roles where I can solve meaningful problems and create measurable impact.
When they post
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