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Deepak Resume - Deepak Krishnankutty

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DEEPAK K
deepakkrishnankutty5@gmail.com
+91-9747587242
https://www.linkedin.com/in/deepak-k12/
SUMMARY
Deepak has over two years of experience in analytics, reporting, and data science, specializing in Asset Management and Banking. He has practical
experience in creating Generative AI applications using both proprietary and open-source models and is skilled in their full-stack development.
Additionally, Deepak excels in developing Business Intelligence solutions, which include ETL pipelines, data quality assurance, and the design and
implementation of dashboards.
EXPERIENCE
Business Analyst (Senior Executive)
EXL Service
October 2022 - Present, Bangalore, India
• Developed an automated LLM application using OpenAl's API which can be used to extract data points from multiple mutual fund initiation
documents.
• Built LLM based conversational BI application that enables asset managers to query data from databases using natural language.
• Developed an intent extraction and hierarchical intent mapping system leveraging Generative AI, aimed at automating contact center operations and
enhancing efficiency.
• Developed an end-to-end contact center dashboard for a leading US-based custodian bank, enhancing operational efficiency and decision-making.
• Proficient in working with diverse databases, including SQL and NoSQL, ensuring data accessibility and reliability for analytical purposes.
• Designed and implemented multiple Extract, Transform, Load (ETL) pipelines from the ground up, streamlining data processing and integration
workflows.
• Conducted Exploratory Data Analysis (EDA) using Python and essential libraries such as pandas, numpy, and plotly to gain insights from complex
datasets.
Software Engineer
Terralogic Software Solutions
October 2021 - June 2022, Bangalore, India
• Collaborated with the QA team to create automated test scripts using Python and Selenium, contributing to improved testing efficiency and accuracy.
• Additionally, spearheaded the successful execution of over five web scraping and automation projects, utilizing tools like Selenium and Robot
Framework to enhance data collection and process automation.
PROJECTS
Conversational BI using Generative AI
• Designed and developed a Large Language Model (LLM) application for querying databases using natural language, enhancing user interaction.
• Transformed the LLM application into a user-friendly web interface using Streamlit, improving accessibility.
• Achieved higher performance and accuracy by fine-tuning the model, optimizing query results.
Portfolio Manager insights for EXL's Gen Al platform
• Developed an end-to-end application using Streamlit (for UI), Python for backend and OpenAI + open-source models to generate and present
insights from earnings call transcripts, SEC Filings, Bond Regulatory Filings, to support credit and portfolio research.
• Developed a Q&A module to generate insights from documents.
End-to-End Contact Center Dashboard Development
• Spearheaded the development of a comprehensive contact center dashboard for a prominent US-based custodian bank, resulting in significant
improvements in operational efficiency and data-driven decision-making.
• Enhanced dashboard performance by implementing an in-memory caching system, optimizing data retrieval and visualization for real-time decision
support.
EDUCATION
Master of Computer Application
Nehru Institute of Information Technology and Management • 2021
B.Sc Information Technology
Thunchathezhuthachan College • 2019
SKILLS
Technical Skills : Data Collection and Cleansing, Statistical Analysis, Data Modelling, Prompt Engineering, LLM Application Development
Tools and Technologies: SQL, NoSQL, Python(Pandas, Numpy, Selenium etc), LLMs(proprietary and open-source models), LangChain,
LlamaIndex, Tableau, PowerBI, Javascript, GCP, Java
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