Yogesh Malviya

Results-driven Data Engineer and Business Intelligence Analyst with 2.5+ years of hands-on experience designing and deploying scalable ETL pipelines, AI-powered automation workflows, and interactive BI dashboards. Proficient in Python, SQL, Qlik Sense, Power BI, Tableau, and n8n workflow automation. Proven track record of reducing operational inefficiencies by 30–50% through data-driven solutions, AI chatbot implementations, and cloud analytics.

Passionate about leveraging machine learning and big data technologies to drive impactful business decisions.

AI Ops Operations Engineer - Cloudstrats Technologies Pvt Ltd - Mumbai, Maharashtra

(2025-05)

• Designed and deployed domain-specific AI chatbot solutions integrating RAG (Retrieval-Augmented Generation) and LLMs, enabling intelligent Q&A over structured and unstructured business data, reducing customer query resolution time by 50%.
• Implemented end-to-end Business Intelligence solution using Qlik Sense, QlikView, and Qlik Cloud — covering data extraction, ETL pipeline development, data modeling, and KPI dashboard delivery for 5+ business units.
• Developed and validated AI-driven time-coded transcript and subtitle pipelines, improving content discoverability by 40% and enhancing ML data quality for downstream NLP applications.
• Architected structured metadata schemas (video IDs, timestamps, speaker names, keywords) enabling advanced search, filtering, and AI-powered recommendations across a digital media platform.
• Led full-stack integration for the IndiaJaar digital marketplace including product listings, secure payment flows, and intelligent order management using Python and REST APIs.

Data Analyst Intern - Digital Ipsum Pvt Ltd

(2024-11 - 2025-04)

• Built a Linear Regression predictive model for house price estimation, achieving 92%+ accuracy through robust feature engineering, data scaling, and categorical encoding techniques.
• Conducted comprehensive Exploratory Data Analysis (EDA) to uncover trends, correlations, and outliers across 10,000+ records, delivering actionable insights to business stakeholders via visual reports.
• Automated data preprocessing pipelines using Python (Pandas, NumPy), cutting data preparation time by 30% and enabling faster reporting cycles for the analytics team.

Python Developer Intern - Shripriti Educational & IT Hub

(2024-06 - 2024-10)

• Created interactive data visualizations using Matplotlib and Seaborn to communicate complex analytical insights to non-technical stakeholders, improving report comprehension significantly.
• Performed exploratory data analysis across multiple datasets to identify trends and correlations, supporting data-driven reporting and business decision-making processes.
• Applied Pandas and NumPy for efficient data cleaning, transformation, and multi-dataset integration, improving data pipeline reliability and analysis efficiency.

Master of Data Engineering - Data Engineering - Itvedant Education Pvt Ltd (2025)

Bachelor of Computer Applications - Computer Applications - Mohanlal Sukhadia University (2023)