Ashrut Arora — Data Analyst

I’m an working on Generative AI & Full Stack Dev, passionate about solving real-world problems by connecting the dots - using AI across disciplines, teams, and industries. I thrive at the intersection of AI & day to day tasks and continuously sharpening my technical skills through projects that merge data, automation, and intelligent systems. I love building tools that are not just functional, but impactful. Key Projects - 1) Geospatial Analysis of Retail Stores: Built a tool for MAX Fashion that optimized store placement strategies, integrating data from over 100 sources and improving store placement efficiency by 70%. 2) Campaign Recommender System: Developed a system to optimize campaign strategies based on budget constraints, store codes, pin codes, and target categories, resulting in an increase in campaign success rate and ease of planning campaigns. 3) Brief Buddy: An AI-powered real-time news article summarizer that utilizes BART Transformers to automate the collection and summarization of news articles daily, reducing summarization time by 40% and manual effort by 80%. 4) I am currently developing web applications with the goal of simplifying problems in life by addressing and solving various common challenges by integrating AI to it. Skillset: - AI: Generative AI, Prompt Engineering, Ollama, Web Scraping, APIs, Time Series Forecasting, LLMs - Languages: Python, JavaScript, Java, C, C++ - Web Dev: HTML, CSS, React, Node.js (in progress) - Data & AI: Pandas, NumPy, Matplotlib, Scikit-learn, Transformers (BART, HuggingFace), OCR - Database: SQL, MongoDB - Other Skills: Web Scraping, APIs, Time Series Forecasting, LLMs, Generative AI

Stackforce AI infers this person is a Data Science and AI professional with a focus on automation and analytics.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 5 mos

Skills

Data Analysis
Ai
Machine Learning

Career Highlights

Developed AI tools that significantly reduce manual effort.
Optimized store placement strategies improving efficiency by 70%.
Created an AI-powered news summarizer reducing time by 40%.

Work Experience

Rystad Energy

Junior Data Analyst (11 mos)

Data Analyst Intern (6 mos)

Data Labs - LANDMARK GROUP

Business Analytics Intern (2 mos)

Manipal The Talk Network

Subhead Of Photography (10 mos)

Photographer (8 mos)

MedTourEasy

Machine Learning & Deep Learning Intern (1 mo)

Revels, MIT Manipal

Organizing Committee member (2 mos)

IECSE Manipal

Working Committee Member (1 yr 8 mos)

Education

Bachelor of Technology - BTech at Manipal Institute of Technology

at Shri Ram Global School

at VIBGYOR Group of Schools

Ashrut Arora

Data Analyst

Bengaluru, Karnataka, India2 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI tools that significantly reduce manual effort.
Optimized store placement strategies improving efficiency by 70%.
Created an AI-powered news summarizer reducing time by 40%.

Stackforce AI infers this person is a Data Science and AI professional with a focus on automation and analytics.

Contact

Skills

Core Skills

Data AnalysisAiMachine Learning

Other Skills

AI Campaign Recommender SystemAI Reporting & VisualizationAnalytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksAutomationCI/CDCommunicationComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Data AnalyticsData ModelingData ModelsData Visualization

About

Experience

2 yrs 5 mos

Total Experience

1 yr 6 mos

Average Tenure

11 mos

Current Experience

Rystad energy

2 roles

Junior Data Analyst

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

1) AI Reporting & Visualization:
Developed dynamic PowerPoint report generator using python-pptx and win32com, reducing report prep time by 95%.
Auto generates Titles & Slide summaries for slides using AI.
Automated chart updates and slide generation for 30+ market reports monthly.

AI Reporting & VisualizationPythonPowerPointAutomationData AnalysisAI

Data Analyst Intern

Jan 2025 – Jul 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

1) AI-Powered Data Processing:
Integrated AI for enhanced PDF table extraction and data summarization, increasing data processing accuracy by 75%.
Designed fallback OCR + AI pipeline for corrupted PDFs, ensuring 100% data capture coverage.
2) Task Automation:
Replaced manual 45-minute data update processes with automated 5-minute workflows.
Built Python scrapers automating data fetching & processing from 25+ sources, improving data update speed by 90%.
Orchestrated ETL workflows in Apache Airflow, reducing manual intervention by 80%.
3) SQL Database & CI/CD Implementation:
Designed and optimized SQL Server schemas and queries handling 100K+ records, improving query performance by 40%, enabling faster data retrieval for analytics.
Automated database deployment and version control using Azure DevOps CI/CD pipelines, reducing release times by 50% and minimizing deployment errors.
4) Time Series Forecasting Models:
Created sector-wise gas demand forecasts using Facebook Prophet with 85% accuracy.
Integrated model outputs into dashboards used by clients for decision-making.

AIPDF table extractionTask AutomationSQLCI/CDTime Series Forecasting+1

Data labs - landmark group

Business Analytics Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

1) Geospatial Analysis on Retail Stores:
Developed an interactive map integrating data from competitors, property prices, eateries, malls, attractions, colleges, tech parks, and public transport to identify Optimal Store Locations.
Generated interactive heatmaps and analysis plots, enhancing decision-making processes for store placement.
2) AI Campaign Recommender System:
Integrated LangChain with Llama3, enabling direct interaction with data and enhancing user experience and data accessibility.
Optimized campaign budgets using store codes, pin codes, and target categories to enhance effectiveness and success.
Facilitated seamless team communication for efficient campaign execution and planning.

Geospatial AnalysisAI Campaign Recommender SystemLangChainPythonFoliumSelenium+2

Manipal the talk network

2 roles

Subhead Of Photography

Jul 2023 – May 2024 · 10 mos · On-site

Photographer

Nov 2022 – Jul 2023 · 8 mos · On-site

Time Management

Medtoureasy

Machine Learning & Deep Learning Intern

Jun 2023 – Jul 2023 · 1 mo · Remote

1) Developed Multiple Projects like building neural networks for image classification, experimenting with different optimization and regularization techniques, building convolutional and recurrent neural networks, and applying advanced models like YOLO for object detection and neural style transfer for artistic image generation.
2) Developed a Sign Language Detection Model.
3) Completed Machine Learning and Deep Learning Specialization by Andrew Ng on Coursera

Machine LearningDeep LearningComputer Vision