Shreya Rawat

Data Analyst

https://www.opentalent.in/shreya-rawat

Data Analyst with 1+ years in Data Science & Analytics

Key Strengths

Strong practical experience in designing and maintaining Python-based ETL pipelines for large-scale CRM data, directly aligning with data analyst responsibilities.
Proficiency in SQL-based analytics workflows using BigQuery for marketing performance tracking and campaign analysis.
Demonstrated ability to create and maintain leads and sales dashboards using PowerBI and Looker, enabling data-driven decision-making.
Advanced project experience in AI/ML, including building an end-to-end RAG-based AI system using LangChain, FastAPI, and Streamlit, showcasing strong engineering and analytical capabilities beyond typical data analyst roles.
Solid academic background with a PG Diploma in AI/ML and an ongoing Data Science program, complementing practical experience.

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Assessing your cultural and operational fit

About

Entry-level data and AI professional with 1.5 years of experience in data science and analytics within an MNC environment. Strong foundation in Python, SQL, machine learning fundamentals, and data analysis, with hands-on experience building end-to-end ML projects on real datasets. Background in building reliable data workflows and translating business problems into data solutions. Seeking an applied AI/ML or analytics role in a data-driven team.

Top Skills

PythonSQL

Education

IIT Guwahati

Credit Linked Prog. in Data Science · Data Science

August 1, 2025 – Present

IIIT - Delhi

PG Diploma · AI/ML

August 1, 2022 – June 30, 2023

COER, Roorkee

B.Tech · Mechanical Engineering

August 1, 2014 – June 30, 2018

Experience

LG Electonics India Ltd.

Data Science Associate (Big Data and Biz Analytics Team)

June 1, 2023 – December 31, 2024

India

Projects

Service Information Assistant (RAG-Based AI System)

April 29, 2026 – Present

• Built an end-to-end RAG application using LangChain, FAISS, HuggingFace embeddings, and Ollama (qwen2:7b) to create a Service Information Assistant for a technology services company. • Implemented document ingestion (PDF/DOCX), semantic chunking, vector storage, and similarity-based retrieval with grounded LLM responses including source citations. • Designed an agentic workflow using LangGraph with automated cost-estimation intent detection and financial analysis handling. • Exposed functionality via FastAPI REST endpoints and an interactive Streamlit UI, ensuring modular architecture, configuration management, and scalable design.

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Food Image Classification (CNN)

April 29, 2026 – Present

Objective: Built an image classification model to identify food categories from images using convolutional neural networks. Resolution: Evaluated multiple transfer-learning architectures (VGG16, InceptionV3, MobileNet) on a limited dataset. Applied image preprocessing and fine-tuning to improve generalization. Outcome: MobileNet achieved the best performance with an average F1-score of 0.81, balancing accuracy and model complexity.

View Project

Key Strengths

Strong practical experience in designing and maintaining Python-based ETL pipelines for large-scale CRM data, directly aligning with data analyst responsibilities.
Proficiency in SQL-based analytics workflows using BigQuery for marketing performance tracking and campaign analysis.
Demonstrated ability to create and maintain leads and sales dashboards using PowerBI and Looker, enabling data-driven decision-making.
Advanced project experience in AI/ML, including building an end-to-end RAG-based AI system using LangChain, FastAPI, and Streamlit, showcasing strong engineering and analytical capabilities beyond typical data analyst roles.
Solid academic background with a PG Diploma in AI/ML and an ongoing Data Science program, complementing practical experience.

Cultural & Operational Fit

Cultural Fit Analysis

The provided psychometric test score is 0/500, which offers no basis for evaluating cultural fit. Therefore, there is insufficient data to assess cultural fit.

Soft Skills & Operational Fit

The candidate's professional experience mentions collaboration with marketing and analytics stakeholders to validate data quality and troubleshoot pipeline issues, indicating problem-solving and teamwork. However, the provided psychometric test score of 0/500 offers no positive data for a comprehensive assessment of soft skills or operational fit.