Vikram Singh
Senior Data Scientist at Fractal\'s Gen AI Team
- Role
- Data Scientist (Generative Ai) at Fractal
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Vikram Singh
An inquisitive professional with 2+ years of experience in the field of Data Science, particularly in understanding Business requirements, analyzing the data, and validating it. • Capable of translating Business problems into Data Science to generate valuable insights. • Well-versed in Machine Learning, Deep Learning, Time Series Forecasting and NLP with a keen focus on data pre-processing and Feature Engineering. • Currently spearheading the efforts as Utility DS Lead with a team of 4 employees.
Experience
Data Scientist (Generative Ai)
May 2022 — Present · Gurugram, IN
As one of the initial member of Fractal’s GenAI Team. Working on developing and optimizing advanced AI and machine learning solutions, including GenAI based agents and ML algorithm agents, within a RESTful microservices architecture to enhance overall business growth.Key Responsibilities and Achievements - Text2sql Agent : Designed and implemented a cutting-edge Text-to-SQL agent utilizing Large Language Models (LLMs) to translate natural language queries into SQL commands. Specifically tailored for a major client, this solution leveraged LLMs for advanced natural language understanding and context-aware query handling, ensuring accurate and relevant SQL outputs. The agent was seamlessly integrated with various databases, such as Snowflake and PostgreSQL. This development led to acquiring the significant client worth $1.5M- Copilot-Gen LLM Package : Developed a custom in-house Python package to streamline LLM API’s request, validate configurations, and deliver customized responses through common interfaces. This package significantly reduced the implementation workload-Auto-AnalysisFramework:Developedaframeworkthatenablesbusinessuserstoperformin-depth analysis of any KPI. It identifies factors affecting specific KPIs and offers insights for addressing and preventing issues. The framework delivers fast and efficient results by pinpointing key business drivers, major contributors, and forecasting trends using custom algorithms, including an in-house Key Driver Analysis Algorithm.
Education
K.D. Jain Public School
12th , Mathematics and Science
Jaipur Engineering College & Research Center
Bachelor of Technology - BTech, Computer Science
2016 — 2020
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