Debjani Dutta Gupta

About

No bio added yet

Skills & Expertise (26)

Retrieval-Augmented Generation Advanced

9.0/10

1

Years Exp

Python Advanced

8.0/10

2

Years Exp

Pandas Advanced

7.5/10

2

Years Exp

NumPy Advanced

7.5/10

2

Years Exp

scikit-learn Advanced

7.0/10

1

Years Exp

Advanced SQL Advanced

7.0/10

2

Years Exp

ETL Intermediate

6.5/10

2

Years Exp

Power BI Intermediate

6.0/10

2

Years Exp

API Integrations Intermediate

6.0/10

2

Years Exp

Time Series Analysis Intermediate

6.0/10

1

Years Exp

Statistical Modeling Intermediate

6.0/10

1

Years Exp

Workflow Automation Intermediate

5.5/10

2

Years Exp

Agile Intermediate

5.0/10

2

Years Exp

Version Control Cross-Functional Stakeholder Management Predictive Analytics Data Storytelling Power Query Performance Tuning DAX Scrum SDLC Root Cause Analysis Prompt Engineering Ollama LLaMA

Work Experience

Operations Engineer (AI & Data Systems)

Springworks

Oct 2025 - Present

Engineered and deployed a proprietary RAG-based AI agent (Python, Llama, Ollama) integrated via Slack, automating enterprise document retrieval. Achieved a 70% reduction in search latency and a 30% improvement in task turnaround time. Partnered with engineering teams as a subject matter expert to iterate on large language models. Designed structured feedback loops to translate raw operational edge cases into training data for improved model recall and precision. Presented high-level AI integration roadmaps and operational scalability plans to executive leadership and key clients, bridging the gap between product constraints and enterprise-level technical requirements. Built and maintained robust data auditing frameworks to monitor high-volume streams for anomalous patterns. Recognized with a Certificate of Appreciation (Jan 2026) for exceptional data quality management at scale. Standardized data quality protocols across departments, accelerating the onboarding of technical interns. Operated as Interim Team Lead, overseeing the technical deployment of operational workflows and cross-functional project delivery. Applied quantitative analysis to identify recurring platform bottlenecks; documented and translated these data patterns into technical requirements for product engineering, directly influencing core platform feature roadmaps.

Operations Analyst Trainee

Springworks

Apr 2025 - Oct 2025

Engineered and deployed a proprietary RAG-based AI agent (Python, Llama, Ollama) integrated via Slack, automating enterprise document retrieval. Achieved a 70% reduction in search latency and a 30% improvement in task turnaround time. Partnered with engineering teams as a subject matter expert to iterate on large language models. Designed structured feedback loops to translate raw operational edge cases into training data for improved model recall and precision. Presented high-level AI integration roadmaps and operational scalability plans to executive leadership and key clients, bridging the gap between product constraints and enterprise-level technical requirements. Built and maintained robust data auditing frameworks to monitor high-volume streams for anomalous patterns. Recognized with a Certificate of Appreciation (Jan 2026) for exceptional data quality management at scale. Standardized data quality protocols across departments, accelerating the onboarding of technical interns. Operated as Interim Team Lead, overseeing the technical deployment of operational workflows and cross-functional project delivery. Applied quantitative analysis to identify recurring platform bottlenecks; documented and translated these data patterns into technical requirements for product engineering, directly influencing core platform feature roadmaps.

Market Data Analyst

Practera

Nov 2023 - Dec 2023

Executed comprehensive market segmentation by cleaning and analyzing 500+ qualitative and quantitative data points using Python (Pandas and NumPy), which identified OJOA's core target audience and assessed strategies of 10+ key competitors to define 3 unique selling points. Leveraged statistical analysis on market trend data to generate and validate strategic recommendations (pricing, branding, social media), resulting in a 20% projected boost to OJOA's overall marketing strategy effectiveness. Designed and presented market analysis findings and marketing plan recommendations to OJOA stakeholders, utilizing Power BI for visualization to drive data-informed decisions that contributed to a 15% growth in brand awareness.

Research Assistant

Learn By Research

Oct 2021 - Mar 2022

Utilized satellite imaging and advanced analytics, including NWP models and time series analysis, using machine learning techniques to develop solar forecasting solutions with 10% increased accuracy. Published findings on how to improve solar power forecasting methods using ML in the International Journal of Current Research and Academic Review (IJCRAR).