I'm looking for a role where I can work at the intersection of data and AI, something that lets me build real systems, not just run analysis. The work should have real stakes in production systems, actual decisions, measurable outcomes.
Om Gorakhia
@om_gorakhia
Data-driven problem solver with a knack for building AI-powered systems that turn complex data into real business impact.
What I'm looking for
I'm a Business Analytics grad student at NUS with a background in turning messy data into decisions that actually move the needle. Before this, I spent two years as a Business Analyst building AI-powered tools, machine learning models, and data pipelines that drove real revenue outcomes for global brands. I care deeply about the intersection of data, automation, and business strategy. I'm at my best when I'm building something that solves a problem no one has cleanly solved yet. Outside of work, I'm equally obsessed with algorithmic trading, chess, and finding the next problem worth cracking.
Experience
Work history, roles, and key accomplishments
Business Analyst
InfoAnalytica
Feb 2023 - Apr 2025 (2 years 2 months)
I worked with the CEO to forecast revenue across 45+ e-commerce segments using machine learning and NLP. I built an AI-powered lead scoring system that lifted conversions by 40% and drove $2M+ in impact for brands like Amazon, Walmart, and PayPal. I also led a four-person team to deliver a proprietary analytics platform end to end.
Education
Degrees, certifications, and relevant coursework
NUS Business School, National University of Singapore
Master of Science, Business Analytics
2025 -
Grade: GPA: 4/5
Activities and societies: Participating in case competitions and analytics challenges while collaborating with peers on real-world data and AI projects. Engaged in the NUS Synapse Innovation Challenge as Tech Lead, building applied AI solutions. Regularly attending industry talks, workshops, and networking events organized by NUS Business School.
Pursuing a Master of Science in Business Analytics at NUS Business School, focusing on machine learning, data science, and AI-driven decision making. Coursework spans statistical modeling, predictive analytics, and enterprise AI applications with hands-on project work across real business problems.
Pandit Deendayal Energy University
Bachelor of Technology, Information and Communication Technology
2019 - 2023
Grade: CGPA: 8.75/10
Activities and societies: Took part in technical fests, hackathons, and coding competitions throughout the program. Contributed to group projects spanning software development, data systems, and communication technologies. Engaged with student clubs focused on technology and innovation, building both technical and collaborative skills alongside coursework.
Completed a Bachelor of Technology in Information and Communication Technology with a CGPA of 8.75 out of 10. Gained strong foundations in programming, data structures, networks, and software systems, with growing interest in data analytics and applied machine learning through final year projects.
Tech stack
Software and tools used professionally
Snowflake
Apache Spark
Tableau
Google Cloud Platform
GitHub
Kubernetes
NumPy
Pandas
PostgreSQL
Python
TensorFlow
PyTorch
MLflow
scikit-learn
FastAPI
Microsoft Excel
Git
Docker
Airflow
Google BigQuery
Amazon Web Services (AWS)
SQL
XGBoost
Hugging Face
LightGBM
LangChain
LlamaIndex
ChromaDB
Pinecone
OpenAI API
Langfuse
N8N
Faiss
LangGraph
Claude Code
Sentence Transformers
Gurobi
Availability
Location
Portfolio
om-sys.vercel.appSalary expectations
Social media
Job categories
Skills
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