Transforming complex data into intelligent solutions that drive business impact. Specializing in analytics, cloud technologies, and cutting-edge AI automation.
Passionate about leveraging data, design and AI to solve complex business challenges
Armed with an MBA in Analytics from the prestigious IIM Kashipur and certified as an AWS Cloud Practitioner, I bridge the worlds of business strategy and deep tech to drive data-driven innovation.
From crunching complex datasets to deploying scalable machine learning models and cloud-first solutions, my work sits at the intersection of analytics, automation, and intelligence. I'm currently exploring the frontiers of Agentic AI systems and n8n-based workflow automation to engineer smarter, self-operating solutions.
• Developed customer lifecycle dashboards to optimize ROI on social media campaigns.
• Automated key business processes in Salesforce CRM, reducing turnaround time by 50%.
• Reduced order returns by 44.6% and cut daily operational manhours by 27% during my tenure at StackBOX.
Milestones that showcase my commitment to excellence and thought leadership
Authored "Visualize to Mesmerize: Mastering the Art of Data Visualization and Infographics" - to help professionals master data storytelling.
View Book →Featured in a podcast discussing the "Data Revolution," sharing actionable insights on emerging industry trends and the future of analytics.
Listen Now →Created a compelling data story answering "Why Am I Your Ideal Candidate?" through interactive Tableau visualization showcasing analytical thinking.
View Tableau Story →Innovative solutions across machine learning, analytics, and business intelligence
Used Power BI to analyze real estate trends, focusing on a 187-day closing duration, and proposed strategies to reduce transaction costs by 20% and optimize deal closure times through predictive analytics.
Analyzed historical and real-time data of 24 Indian stocks using machine learning in Python to build a diversified portfolio, optimizing for return and risk, and employing techniques like SVM classification and triple exponential smoothing for forecasting.
Led the development of engaging Tableau dashboards to analyze and enhance India-Canada commodity exports, providing insights and recommendations to boost trade volumes and strengthen bilateral relations.
Developed an NLP-based recruitment optimization system featuring resume summarization, ATS scoring, and intelligent job role matching to revolutionize HR processes.
Created an innovative mobile app using CNNs and deep learning to predict dog emotions and needs, including hunger and discomfort detection through computer vision.
Led the development of a mobile healthcare app with a robust MySQL backend, offering users detailed information on hospitals based on medical needs, proximity, and facilities.
Developed advanced search functionality to enhance user experience through improved relevance, intelligent product recommendations, and cross-selling optimization.
Implemented predictive analytics in R to forecast airfare prices using various flight factors, generating insights for business optimization and improved decision-making.
Enhanced Hyundai India's supply chain efficiency by establishing regional warehouses using data analysis and predictive analytics, reducing setup costs by 15% and optimizing capacity utilization by 25%.
Developed a personalized course selection solution using Multi-Criteria Decision-Making (MCDM) techniques to enhance student decision-making based on individual abilities, interests, and career aspirations.
Led a comprehensive audit to enhance iYogi's brand relationship with customers through strategic initiatives, including technical improvements, community engagement, and personalized AI guidance, while emphasizing core values of mind-body harmony and innovation.
Analyzed Delhivery's strategies in emerging markets, focusing on India, and provided strategic recommendations to enhance market positioning, guide future moves, and address potential risks.
Led a quantitative study using data analysis and machine learning to explore the causal relationship between ticket prices and consumer churn in the airline industry, optimizing pricing strategies to improve customer retention.
Conducted a financial analysis of five Indian mobile and electronics companies using spreadsheet modeling to assess performance across key metrics and provide data-driven strategic insights.
Utilized Adjusted Present Value (APV) analysis and the Black-Scholes Formula to evaluate Maersk's CapEx investments, resulting in a $390,819 valuation and enhancing decision-making through a comprehensive risk and return assessment.
Analyzed consumer purchasing patterns using econometric techniques to understand the impact of demographics, socioeconomic factors, and other variables on purchase decisions, providing insights for targeted marketing, product development, and sales optimization.
Compared five regression techniques—including Multiple Linear Regression, Ridge, Lasso, Elastic Net, and Poisson Regression—using RMSE and R-squared to evaluate their performance in predicting sales, with Poisson Regression emerging as the most effective due to its suitability for modeling rare events and providing insights into sales variability.
Developed a data-driven marketing strategy to introduce Nike Air into the Metaverse, utilizing advanced marketing techniques and comprehensive analysis to maximize market impact and engagement.
Conducted an analysis of Cipla's international business strategies and competitive advantages, leveraging data analysis and BI to evaluate its global market penetration, financial performance, and R&D investments.
Delivered presentations on CEO-board relations and dismissal models using real-world examples and data-driven analysis, showcasing strong analytical and communication skills.
Ready to transform your data into intelligent solutions? Let's discuss how we can drive innovation together.