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- 🤝 Open to collaboration on data-driven projects and analytics challenges
- Talent Recruiter Agent: A smart AI recruitment assistant that automates resume screening and technical interviews. Candidates upload resumes that are instantly analyzed against job descriptions. Qualified applicants proceed to an AI-conducted interview with dynamic question-answering capabilities.
- Multi Modal Ecom Chatbot: A smart conversational AI agent that revolutionizes online shopping through natural language interactions. Users can ask questions about products or general inquiries using both text and voice input, receiving instant, contextually relevant responses powered by advanced semantic search and routing.
- MediAssist Agent: A user-friendly agent(LangChain) designed for effortless information retrieval from pubmed article. Users can input search term and ask questions to receive relevant insights from the healthcare domain. (But it's features can be extended to any domain.)
- Fruit Freshness Detection: Automated Freshness Inspector — ResNet50 transfer-learning model to classify freshness of eight produce items: Banana, Lemon, Lulo, Mango, Orange, Strawberry, Tamarillo, Tomato. Streamlit dashboard for image uploads and real-time inspections
- Beverage Price Range Prediction: Codex, a leading beverage company, is planning to launch an innovative new product in the competitive beverage market. To ensure successful market penetration and optimal pricing strategy, the company conducted comprehensive customer surveys to understand consumer preferences, purchasing behavior, and price sensitivity.This project develops a Machine Learning-based Price Prediction System that analyzes customer survey data to predict the most suitable price range for individual customer segments.
- Employee Segmentation: In this project applied K-means clustering to an HR dataset to uncover four distinct employee personas based on tenure, role, income, and satisfaction metrics. By leveraging targeted feature engineering, PCA-based 2D visualization, cluster evaluation (silhouette, Calinski–Harabasz, Davies–Bouldin), and persona profiling, given actionable recommendations to boost retention and engagement across each segment.
- Nova Mart Campaign Analysis: Analyzed Diwali 2023 and Sankranti 2024 campaign datasets with Python and Pandas to quantify sales uplift, IR%, ISU%, and store-/category-level performance. Derived key insights and formulated targeted recommendations to optimize Nova Mart’s future promotional strategies.
- E-commerce Website Performance Analysis:This project presents a comprehensive statistical analysis of an e-commerce platform’s visitor session data to uncover key drivers of conversion performance and identify opportunities for optimization. By leveraging rigorous hypothesis testing, confidence interval estimation, and visualizations we uncover actionable insights about user behavior, seasonal trends, device preferences, and revenue impact.
- Telecom Churn Analysis: Analysis of customer churn in telecommunications (2015-2018). Identifies key factors influencing customer retention, provides insights on demographic and behavioral patterns, and offers strategies to reduce churn and increase customer lifetime value.
- Supply Chain Analysis: Analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.
- Sales Analysis: Analysis of sales performance metrics from 2014-2017, identifying key trends in product sales, regional performance, and profitability. Provides actionable insights to optimize inventory, improve profit margins, and enhance customer satisfaction in a competitive market.
- Customer Complaint Analysis: Analysis of consumer complaints in the financial services sector, leveraging data from 2013-2016. This project examines customer satisfaction, resolution times, and dispute rates across various companies and products. It provides actionable insights and recommendations to improve complaint handling processes, enhance customer satisfaction.
- CRM and Sales Analysis: Analysis of Customer relationship management and sales management(2024). Identifies optimizing sales performance,top sales agent,conversion rate, win rate and revenue forecasting. THis was done for Fp20 challenge.
- Insurance Analysis: Interactive Power BI dashboard analyzing customer demographics, sales channels, and policy trends. Provides actionable insights on revenue generation, customer growth, and age-group impacts to drive data-informed business decisions.
- E-commerce Sales Analysis: E-commerce sales and promotions analysis(2019). Examines user behavior, product performance, and promotional impact across brands, categories, and states to optimize sales strategies and profitability.
- Hotel Management Analysis: Analyzing customer retention, revenue trends, and market diversity to optimize pricing strategies and enhance customer experience in the hospitality industry.
- Adhoc Sales Analysis: E-commerce sales analysis project using Power BI. Insights on revenue, product categories, regional performance, and order statuses to optimize sales and improve customer satisfaction.
- Social Media Analysis: Wrote complex queries, merged and analyzed data from multiple databases to optimize content strategy and user engagement through hashtag analysis, user influence metrics, and regional content preferences.
- Sales Analysis: Wrote queries to analyze sales performance metrics from 2014-2017, focusing identifying key trends in product sales, regional performance, and profitability through comprehensive data-driven insights and recommendations.
- Call Center Analysis: Developed SQL queries to analyze customer service metrics, sentiment, and regional trends to optimize call center operations and improve customer satisfaction.
- Beverage Analysis: Data-driven market research and strategy development for Codex, an emerging Indian energy drink brand. Includes consumer preference analysis, product optimization, competitor assessment, and targeted marketing recommendations to increase market share and brand awareness.
- Hotel Management Analysis: Analyzing customer retention, revenue trends, and market diversity to optimize pricing strategies and enhance customer experience in the hospitality industry.
- Food delivery Analysis: Analyze 5 months of Khao's food delivery data to boost sales and profitability. Identify key factors affecting performance, analyze trends, and provide actionable recommendations for resource allocation and strategy improvement.
