S

Saumy Aryan

Business Analyst

Lucknow, Uttar Pradesh, India7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in transforming data into actionable insights.
  • Proven track record in automating workflows and enhancing efficiency.
  • Strong foundation in AI and data analytics with impactful contributions.
Stackforce AI infers this person is a Data Analytics and AI professional with a focus on SaaS solutions.

Contact

Skills

Core Skills

Data AnalysisData VisualizationAutomationContent DevelopmentMachine Learning

Other Skills

PythonSQLPower BIGoogle Apps Scriptn8nMake.comAI ToolsCritical ThinkingInterpreting DataData AnnotationJSONMicrosoft FabricMicrosoft Power BIComputer ScienceData Science

About

As a data-driven AI professional with experience across startups and established organizations, I specialize in transforming raw data into actionable insights and intelligent products. With a B.Tech in Computer Science and Engineering from IIIT Jabalpur, my career has spanned AI engineering roles at Lakefront and Turing, and I currently work as a Data Analyst at House of EdTech. In my current role, I focus on building analytical solutions that support data-informed decision-making. One of my key contributions has been the design and development of interactive dashboards that significantly improved the clarity, accessibility, and usability of business data. Previously, as an AI Engineer, I worked on designing, training, and deploying machine learning models to solve real-world problems. My experience includes: - Collaborating with cross-functional teams (product, engineering, and business stakeholders) to understand requirements and translate them into data and AI solutions. - Building and refining models using core machine learning techniques and best practices. - Implementing scalable, maintainable solutions that add measurable value to products and operations. My skill set bridges data analytics and AI engineering, including: - Data Analysis & Visualization: SQL, Python (pandas, NumPy), dashboarding and reporting - Machine Learning & AI: model development, evaluation, and optimization - Problem Solving: converting business questions into analytical frameworks and measurable outcomes - Communication: presenting technical insights in a clear, structured way for both technical and non-technical audiences Looking ahead, I aim to grow into roles where I can combine advanced analytics, machine learning, and product thinking to drive strategic decisions and build intelligent, data-centric solutions. I am particularly interested in opportunities that involve: - End-to-end ownership of analytics and AI initiatives - Building and scaling data products and decision-support tools - Working closely with product and business teams to shape data strategy I bring a strong technical foundation, hands-on experience in AI and analytics, and a consistent focus on impact. I am always open to connecting with professionals in data, AI, and product domains to explore collaboration, knowledge sharing, and career opportunities.

Experience

7 mos
Total Experience
4 mos
Average Tenure
2 mos
Current Experience

Csg

Data Analyst

Apr 2026Present · 2 mos · Remote

House of edtech

Product Analyst

Nov 2025Apr 2026 · 5 mos · Remote

  • Led advanced data analysis projects using Python, SQL, and Power BI to generate actionable business insights.
  • Automated several repetitive workflows using Google Apps Script and automation platforms like n8n and Make.com, resulting in a 20–25% reduction in daily manual effort.
  • Leveraged cutting-edge AI tools to create engaging, interactive content for learners—significantly improving platform scalability, content delivery speed, and learner engagement
PythonSQLPower BIGoogle Apps Scriptn8nMake.com+2

Turing

AI Engineer

Oct 2025Dec 2025 · 2 mos · Remote

  • Delivered complex multimodal prompts (up to 10-image inputs, biomedical scans, engineering diagrams, financial charts) to stress-test LLM performance.
  • Applied Chain-of-Thought reasoning and contrastive prompt engineering to increase model accuracy by 30%.
  • Maintained low rejection rates by ensuring precision-driven annotations and strict rubric adherence.
  • Identified model weaknesses to inform supervised fine-tuning and performance optimization.
Critical ThinkingInterpreting DataMachine Learning

Lakefrontai

AI engineer intern

Jan 2025Apr 2025 · 3 mos · Boston, Massachusetts, United States · Remote

Education

Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

Bachelor of Technology - BTech

Aug 2021Aug 2025

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