Gurugram, Haryana, India
Aspiring Data Analyst, now officially armed with a Master's degree from Chandigarh University—because apparently, caffeine-fueled nights and endless Jupyter notebooks do lead somewhere. I dig through data with tools like SQL, Excel, Python, and Tableau, trying to make sense of the chaos businesses lovingly call “raw data.” I’ve got a weird obsession with turning messy spreadsheets into clean insights and dashboards that actually make sense (most of the time). I've worked on everything from sentiment analysis and predictive models to Excel reports that didn't crash (much). Bonus: I know what a pivot table is and actually use it. Looking to join a team that appreciates sarcasm, solid SQL, and the occasional existential crisis while debugging. Let’s turn “we think” into “we know” — one dataset at a time.
Driving digital transformation by leveraging CRM systems, data analytics, and AI-driven solutions to optimize operations and enable data-backed decision-making. Managing and enhancing CRM workflows, improving lead tracking, data accuracy, and process efficiency across teams. Utilizing analytics to uncover insights, streamline operations, and support strategic growth initiatives. Exploring and implementing AI-based solutions, including LLM-powered chatbots, to automate customer interactions, improve response efficiency, and enhance user experience within the laundry services domain. Leading and coordinating multiple tech-driven projects, ensuring timely delivery, reduced manual effort, and improved system performance through automation and innovation. Built a reward-based engagement system from scratch for the hospitality domain, contributing to improved user engagement, retention, and customer loyalty. Supporting project management activities including planning, execution tracking, and continuous process optimization. Focused on building scalable, tech-enabled systems that align business operations with digital innovation and AI capabilities.
Built a content-based movie recommender using Python, TF-IDF, and cosine similarity. Scraped real-time movie data from IMDb using BeautifulSoup to enrich the dataset. Focused on NLP, data cleaning, and similarity scoring to deliver accurate suggestions.