Headline

Senior Data Scientist-Software Comprehension Lab @ Ericsson R&D | NUS | NIT Rourkela

About

As a seasoned data scientist with a robust background in machine learning and advanced analytics, I bring over a decade of experience across diverse industries, including supply chain, investment banking, financial services, and healthcare. My expertise lies in designing and deploying end-to-end data solutions that drive business growth and operational efficiency. I currently serve as a Data Scientist III at HP Inc., where I have spearheaded multiple projects that have significantly enhanced business outcomes. One notable achievement includes improving demand forecasting accuracy by 20% for a leading player in the PC market through the implementation of advanced machine learning techniques. I also engineered a multi-task deep learning model that increased image/scene classification accuracy by 20%, demonstrating my ability to translate complex data challenges into actionable insights. My academic credentials include a Master of Science in Business Analytics from the National University of Singapore, an MBA with a dual major in Finance & Systems from Xavier Institute of Management, and a Bachelor of Technology from the National Institute of Technology Rourkela, where I graduated in the top 5% of my class. Additionally, I hold certifications in CFA Level 2, Product Management, and Data Engineering. Throughout my career, I have consistently leveraged my analytical skills to solve complex business problems, such as optimizing supply chains, automating financial processes, and enhancing product development cycles. I have a strong proficiency in programming languages including Python, R, and SQL, and I am well-versed in utilizing big data and visualization tools like PowerBI, Tableau, and Azure Databricks. I am passionate about continuous learning and staying at the forefront of technological advancements. My goal is to apply my expertise to drive innovation and deliver data-driven strategies that empower organizations to achieve their business objectives.

Location

Bengaluru

Work experience

Senior Data Scientist I - R&D at Ericsson, Mar 2026 - Present · 7 mos, Bengaluru, Karnataka, India

Senior Member of Technical Staff at Oracle, Jul 2024 - Mar 2026 · 1 yr 9 mos, Bengaluru, Karnataka, India, Responsible for leading and developing Search systems using GenAI & ML/AI. Developed Retrieval-Augmented Generator (RAG) systems, fine-tuned LLM models, designed robust framework for generative question and answer systems using Cohere LLMs. Built Re-Rankings models for Search pushing the boundaries of AI-driven conversational technology. Developed advanced algorithms for Semantic search, Natural Language Understanding and Entity Recognition, among others.

Data Scientist III at HP, Oct 2020 - Jul 2024 · 3 yrs 10 mos, Bengaluru, Karnataka, India, • Successfully implemented a top-down demand forecasting approach for a dominant player in the PC market, resulting in a 20% increase in forecast accuracy compared to the benchmark. • Developed and refined product hierarchies at both the family group and product levels to support demand planning and optimize inventories. • Utilized data cleaning techniques and the Bass Diffusion model to improve the accuracy of product transition percentages. • Generated forecasts using an ensemble of tree-based algorithms (xgBoost) and Meta-Prophet, leveraging CPU multithreading to deliver over 10,000 forecasts in less than a minute. • Empowered demand planners to track forecast accuracies through visualizations in PowerBI, leading to forecast accuracies of 65%-70% at the family level for top-selling products, with a positive bias.

Student Researcher at NUS Business Analytics Centre (BAC), Apr 2020 - Sep 2020 · 6 mos, Singapore, Domain/Vertical: Analytics – Advanced Analytics Designation: Advanced Analytics Intern Key Responsibilities: • Responsible for identifying ways to improve user retention time on FP&A Digital Platform • Partnering and collaborating with stakeholders at multiple levels around the globe to understand their Training Needs and Report Viewing Behavior, translating those problems into ML use cases and delivering actionable insights based on data analysis and analytical frameworks. • Proposed, Developed and Deployed a Recommendation Engine for Financial Reports and Trainings. • Forecasted Sales at different levels of Hierarchy for J&J’s consumer goods segment

Research Assistant at NUS Business Analytics Centre (BAC), Jul 2019 - Apr 2020 · 10 mos, Singapore, Domain/Vertical: Analytics – Business Analytics-Industry Vertical Designation: Research Assistant Key Responsibilities: • Executed Projects in collaboration with PUB (Public Utilities Board, Singapore) and IHIS, Singapore. • Worked on the entire Machine Learning Lifecycle, from loading of client data in SQL Developer, model training, designing a logging framework to capture failure points, to final deployment in AWS. • Managing end-to-end deliverables of the project by adhering to scope, timelines, and stakeholder expectations

Business Analyst at Societe Generale Global Solution Centre, May 2018 - Jul 2019 · 1 yr 3 mos, Bengaluru, Karnataka, India, Domain/Vertical: Analytics – FX/MM Instruments Designation: Business Analyst – Data Repositories Management Key Responsibilities: ● Managed the entire Data Ingestion Pipeline from Trading Platforms to centralized Data Warehouse. ● Remediated data quality issues related to BCBS 239, by putting several controls in place, so that the erroneous trades aren’t reported to the Downstream Systems. ● Conceptualized and deployed a Machine Learning Project using Decision Trees in Python, wherein, we have reduced the manual effort involved in reconciliation of under-reported and over-reported deals from 100 hours/month to just 5 hours/month. This also resulted in a savings of 170K euros for the bank ● Trained senior management professionals on various advanced analytics, machine learning algorithms and their practical impacts on business. Algorithms include Regression, Classification, Segmentation and Time Series.

Education

Master's degree, NLP, Cloud Computing & AI, National University of Singapore

Bachelor of Technology (B.Tech.), Ceramic Engineering, National Institute of Technology Rourkela