I'm Bhargav, a data science professional.
Here's a quick intro about me and my data science journey
My Data Science Origins
During my Computer Science studies, I was witnessing something incredible—from GPT-3's launch to deep learning transforming everything around us. This revolution completely inspired me, and I found myself drawn to the stories hiding inside data rather than just writing code. Every dataset felt like humans trying to tell me something important, and that's when I knew I'd found my calling.
Finding My Way to Analytics
Moving from computer science into data analytics felt like finally finding where I belonged. Google's Data Analytics Professional Certificate genuinely excited me—not for another credential, but because I was curious about how businesses really work. That led me to pursue my Master's in Business Analytics at the University of Surrey, which taught me that data science isn't just about cool models—it's about helping people make decisions that actually matter.
Life Beyond Code and Models
When I'm not staring at Python scripts, I love sketching whatever catches my eye—there's something satisfying about switching from logical data work to pure creativity. I also write blog posts about self-love and personal growth, with my best ideas coming from random thoughts I scribble down while music plays in the background. And yes, I'm definitely that friend who takes apart gadgets just to see what makes them tick.
These Days
Currently, I'm a Data Science Assistant Manager at Lloyds Banking Group, working on ML and hybrid models while getting completely hooked on building RAG applications and AI tools. There's something addictive about creating systems that can actually have conversations with data. When I'm not buried in datasets, you'll find me sketching, writing, jamming to music, getting competitive over board games with friends, or playing with new tech—usually with a morning coffee or a Coke nearby and my brain spinning with ideas for the next cool thing to build.
My professional journey and key achievements.
Lloyds Banking Group
Sep 2022 - Present
Data Science Assistant Manager
Jan 2024 - Present
Designed and implemented predictive and classification models for customer segmentation, achieving 80% accuracy and improving decision-making.
Developed and deployed custom ETL pipelines, reducing data preparation time by 95% and ensuring data quality for downstream analysis.
Built an NLP application to analyze customer verbatims, utilizing state-of-the-art embedding techniques such as BERT to derive actionable insights.
Implemented sentiment analysis and topic modeling algorithms using BERTopic, enabling identification of key customer pain points.
Assistant Manager Business Intelligence and Visualisation
Sep 2023 - Jan 2024
Developed and automated a data extraction process that combined multiple sources of data to create a uniform dataset, reducing data duplication and errors.
Created a 360-degree business dashboard that provides comprehensive insights for data-driven decision-making and increased operational efficiency.
Assisted the team to organize huge datasets effectively via advanced querying, visualization, and conducting thorough data analysis.
Business Intelligence and Visualisation Analyst (Placement)
Sep 2022 - Sep 2023
Collaborated with cross-functional teams and developed client-facing PowerBI dashboards for specific business units improving team efficiency.
Rendered insights and generated analytical reports to track real-time customer data to enable strategic planning by management.
Recognized as Industrial Placement Student of the Quarter for outstanding performance and contributions.
Here's what drives my passion for data science
Core Expertise
My specialized areas
Machine Learning
Advanced analytics & AI models
Data Engineering
ETL pipelines & data quality
Business Intelligence
Dashboards & strategic insights
NLP & Analytics
Text analysis & sentiment modeling
Driving data-driven insights at Lloyds Banking Group