Headline

Data Scientist at O9 Solutions | AI, Machine Learning, Python, Cloud | Retail & Home & Hardware| Product Recommendations, Assortment Optimization, Sustainability

About

Hey there, I'm really passionate about being a Data Scientist, and what really gets me excited is the whole world of Natural Language Processing (NLP). You know, it's like uncovering the secrets hidden within words and using data to make sense of it all. I've spent a good amount of time diving deep into NLP techniques, and I'm all about taking what I learn and turning it into something practical. Whether it's understanding sentiments from text or making machines generate human-like language, I'm up for the challenge. I'm on a journey to show that data can be more than just numbers – it can unlock the magic of human expression. So, let's join forces and explore this fascinating realm together. Because when data and language come together, amazing things can happen!

Location

Bengaluru

AI stack

claude code

claude

cursor

github copilot

openai

ChatGPT

Work experience

Data Scientist at o9 Solutions, Inc., Jun 2025 - Present · 1 yr 4 mos, Bangalore Urban, Karnataka, India, Led development and deployment of ML-driven retail analytics solutions for Fortune 500 apparel and footwear brands. Built end-to-end demand forecasting systems achieving high forecast accuracy across multiple retail hierarchies. Developed sizing optimization and inventory planning solutions delivering measurable revenue uplift and operational efficiency gains. Worked on assortment planning, allocation & replenishment, and merchandising optimization use cases. Improved forecasting scalability and runtime performance for large-scale production environments.

Data Scientist at Stylumia, Sep 2023 - Jun 2025 · 1 yr 10 mos, Bangalore Urban, Karnataka, India, Built and deployed machine learning solutions for Fortune 500 retail and footwear brands. Developed demand forecasting models to reduce stockouts and optimize inventory planning. Designed assortment management platforms that reduced market review cycles from 8 weeks to 1 week. Built pricing intelligence solutions for competitive retail analytics and merchandising optimization. Developed recommendation systems using collaborative and content-based filtering techniques. Improved customer retention and conversion through ML-driven personalization systems. Delivered measurable business impact across assortment planning, pricing, forecasting, and retail decision intelligence.

NLP Engineer at Stylumia, Mar 2023 - Aug 2023 · 6 mos, Bengaluru, Karnataka, India, Built and optimized NLP embedding pipelines for retail intelligence and recommendation systems. Improved semantic similarity model performance by 120%, achieving benchmark-level results on the BEIR leaderboard. Developed LLM-powered hallucination control workflows to improve output quality and reliability. Worked on domain-specific fine-tuning and retrieval-based NLP systems for retail applications. Designed scalable text-processing pipelines for large-scale product and merchandising datasets. Collaborated with product and engineering teams to productionize NLP-driven retail AI solutions.

Data Science Virtual Experience Programme at Standard Bank Group, Jan 2023 - Jan 2023 · 1 mo, Remote

Data Analytics Consulting Intern at KPMG Australia, Dec 2022 - Dec 2022 · 1 mo, Australia

Software Engineer Intern at Valuepitch, Aug 2022 - Oct 2022 · 3 mos, • Worked on implementing a custom Optical Character Recognition for Indic scripts and automated the entire process to extract the required data from PDF’s and pushing it into a json file. • Also worked on Transliterating the extracted text from the indic scripts to English with an accuracy of 68 Percentage. • Achieved an 83 Percentage of accuracy on the extraction of required information .

Education

Bachelor of Engineering - BE, Information Technology, Sir M Visvesvaraya Institute Of Technology