Soumya Mondal

National Institute of Technology Karnataka Surathkal

Kharagpur, West Bengal, India

Since April 27, 2026

About

I have over 4 years of experience as a Data Analyst, with a strong technical background in building data-driven solutions and advanced AI architectures. My work has consistently bridged the gap between raw data and actionable business strategy, particularly within the retail and automotive sectors. Core Expertise Generative AI & Machine Learning: Extensive experience with Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG). I have a deep understanding of Transformer architectures, including technical nuances like causal masking and prompt engineering. Data Engineering & Analytics: Proficient in migrating large-scale data environments (notably from Snowflake to Databricks) and managing vector databases like Pinecone, FAISS, and ChromaDB. Predictive Modeling: Skilled in developing high-propensity models using Gradient Boosting Machines (GBM) to identify key consumer behaviors.

Skills

Artificial IntelligenceGithubPythonPyTorchMachine LearningPredictive ModelingSQLModel EvaluationMl DeploymentDocker / KubernetesSelenium WebDriverGit-GitHubData Analytics

Education

National Institute of Technology Karnataka Surathkal

B. Tech · Electronics and Communication

March 31, 2017 – April 30, 2021

Key Strengths

Strong foundational knowledge and practical experience in AI/ML, Deep Learning, and Reinforcement Learning, as evidenced by project work and listed skills.
Demonstrated expertise in GenAI, LLM, RAG, and AI Agents, including engineering production-ready solutions for business impact (e.g., GenAI Promotion Optimizer).
Proficiency in MLOps practices, including model deployment (MLFlow), migration between cloud platforms (AWS to Azure Databricks), runtime optimization, and establishing reproducible training workflows.
Solid data engineering skills with experience in PySpark, SQL, data pipeline automation, schema validation, and error handling across various data platforms (AWS, Azure Databricks, Snowflake).
Experience in a managerial capacity (Data Analytics Manager at African Industries Group), indicating potential for leadership and strategic oversight in data-driven initiatives.
Relevant education (B.Tech in ECE) with coursework in Statistics, Data Structures and Algorithms, Machine Learning, Data Mining, and Image Processing.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates significant concerns regarding cultural fit, as it evaluates aspects like work attitude and team collaboration. No other data is available to contradict this.

Soft Skills & Operational Fit

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Key Strengths

Strong foundational knowledge and practical experience in AI/ML, Deep Learning, and Reinforcement Learning, as evidenced by project work and listed skills.
Demonstrated expertise in GenAI, LLM, RAG, and AI Agents, including engineering production-ready solutions for business impact (e.g., GenAI Promotion Optimizer).
Proficiency in MLOps practices, including model deployment (MLFlow), migration between cloud platforms (AWS to Azure Databricks), runtime optimization, and establishing reproducible training workflows.
Solid data engineering skills with experience in PySpark, SQL, data pipeline automation, schema validation, and error handling across various data platforms (AWS, Azure Databricks, Snowflake).
Experience in a managerial capacity (Data Analytics Manager at African Industries Group), indicating potential for leadership and strategic oversight in data-driven initiatives.
Relevant education (B.Tech in ECE) with coursework in Statistics, Data Structures and Algorithms, Machine Learning, Data Mining, and Image Processing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit