Manali Kulkarni

Data Analytics Engineer

Pune City, Maharashtra, India

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 Intelligence Selected 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.

Experience