Business analytics professional with 2+ years of experience delivering data-driven solutions that drive business growth. Specializing in ML engineering, data automation, and cloud-based analytics solutions with quantifiable business impact.
Business Analytics Student | Machine Learning Engineer | Python | Azure | Data Solutions
Download My Resume for Full Detailsπ Hey there! I'm Gitansha, a data enthusiast who loves turning messy datasets into meaningful stories and building AI solutions that actually work in the real world (not just in notebooks!).
π‘ Iβm currently working as a Solutions Developer at Seatrium and have just completed my Masterβs at NTU Singapore, where I dove deep into Generative AI and Machine Learning engineering. My sweet spot? Breaking down complex business problems and crafting elegant, scalable data solutions that make peopleβs lives easier.
π When I'm not debugging code or optimizing pipelines, you'll find me mentoring women in tech through Women Devs SG, writing about my technical adventures, or creating content that makes tech more accessible.
β¨ What drives me? The "aha!" moment when an AI model finally clicks, the satisfaction of automating tedious tasks, and the joy of building tools that people actually want to use.
Building production-ready ML systems, from data pipelines to model deployment. Specialized in NLP, GenAI, and practical ML applications.
Architecting scalable solutions on Azure and AWS. From serverless functions to CI/CD pipelines that actually make deployment painless.
Designing ETL pipelines that don't break at 3 AM. Turning data chaos into structured insights with SQL, PySpark, and automation.
Creating user-friendly interfaces and robust backends. Because great data solutions need great UX too!
"Gitansha interned with our AI and Data team at SIA Engineering from JanβJune 2025. She was my go-to intern for GenAI project delivery, helping advance 5 applications toward production, not just proof-of-concepts. Her ability to navigate complex projects and diverse stakeholders with maturity was remarkable. If your organization is stuck in AI proof-of-concept hell, she's the one to call."
"I've had the pleasure of working with Gitansha as her Manager. Her expertise in Python, cloud technologies, and Azure DevOps is outstanding. She excels at implementing CI/CD pipelines and clearly communicating complex ideas. A top performer, Gitansha consistently delivers high-quality work with dedication and a collaborative spirit. She would be a valuable asset to any organization."
"Gitansha demonstrates exceptional expertise in Business Analytics, Azure, and DevOps. Her deep understanding of her techstack, dedication, and strong proficiency make her amazing professional with impressive growth and career potential."
From AI agents to automation bots - here's what I've been building
Ever wished you had a personal assistant for restaurant bookings? Meet Feastie! Built an intelligent reservation agent powered by Qwen 2.5-7B that understands natural language and handles end-to-end bookings like a pro.
The coolest part? When your preferred time slot is taken, Feastie doesn't just say "sorry, unavailable" - it actually suggests better alternatives based on availability, location, and timing. This smart recommendation system boosted successful bookings by ~30% in testing!
Built the entire system using a small language model (because not everything needs GPT-4!), SQLite for persistence, and designed intelligent fallback logic that makes the agent feel genuinely helpful, not robotic.
Built because I kept killing my plants (oops!). This Telegram bot is like having a green-thumbed friend who never forgets to remind you about watering schedules - works seamlessly across group chats and tracks individual users.
The technical magic? Architected a lightweight yet powerful backend on Vercel with serverless functions, Redis for persistent state management, and GitHub Actions for automated reminder workflows. The result is a bot that's always on, always reliable, and handles multiple users effortlessly.
What I love about this project: It solves a real problem (keeping plants alive!), showcases modern serverless architecture, and demonstrates how to build production-ready bots with proper state management and security.
Designed and developed an advanced business valuation platform that combines Python, React, and cutting-edge ARIMA models to forecast stock trends with precision. The platform features interactive visualizations and an intuitive interface, making complex financial data accessible and actionable for users.
To elevate decision-making capabilities, I integrated real-time sentiment analysis using the Stocknews API, enabling users to assess bullish and bearish market trends instantly. The platform also surfaces the top three most relevant company headlines, each linked to verified sources, ensuring users receive accurate data with meaningful context to navigate market dynamics effectively.
By seamlessly blending predictive analytics, real-time sentiment evaluation, and user-centric design, the platform transforms raw data into valuable insights. This innovative tool empowers users to make confident and informed financial decisions, showcasing the potential of advanced technology to address real-world challenges.
Developed an innovative energy consumption analytics platform that transforms raw meter data into actionable insights. The solution uses machine learning to detect usage patterns, identify anomalies, and provide predictive maintenance recommendations.
The platform features an intuitive dashboard with real-time monitoring capabilities, customizable alerts, and comprehensive reporting tools. By implementing advanced data processing techniques, the system handles large volumes of time-series data efficiently while maintaining high performance.
Collaborated with a dynamic team to craft an interactive Tableau dashboard that brings the global Happiness Index to life! This user-friendly tool dives deep into a decade of data, uncovering key factors influencing well-being across nations. From visualizing trends to highlighting intriguing correlations, the dashboard provides actionable insights in an engaging and accessible way.
Designed an insightful Tableau dashboard that unlocks the secrets of Netflix's content universe! With detailed visualizations of genre distributions, release trends, and regional availability, this dashboard empowers users to explore content patterns and preferences. Perfect for media enthusiasts and decision-makers aiming to understand what drives audience engagement.
Because there's more to me than Python and APIs
Went from writing code to creating video content! Produced behind-the-scenes content for TEDxNTU 2024, capturing the magic of ideas worth spreading. This taught me storytelling beyond data visualization - how to craft narratives that inspire and engage diverse audiences.
Watch the VideoPassionate about closing the gender gap in tech! Active volunteer with Women Devs SG, where I mentor aspiring women developers, organize workshops, and help create a more inclusive tech community in Singapore.
Why this matters to me: I've experienced firsthand how representation matters. Every woman we support in tech creates a ripple effect, inspiring others and building a stronger, more diverse industry.
I love demystifying complex tech concepts! Writing helps me clarify my thoughts and hopefully makes someone's learning journey a bit easier.
π Blog series coming soon! Topics include "GenAI in Production," "Serverless for Data Engineers," and "Breaking into ML Engineering."
Read My Articles (Coming Soon)Regular participant in ML/AI hackathons - where caffeine meets creativity!
Love sharing knowledge through workshops and technical presentations
Organizing meetups and study groups for data enthusiasts
Nanyang Technological University, Singapore (Jul 2024 β May 2025)
Key coursework: Analytics Strategy in Business, Applications of Statistics, AI & Big Data in Business, Database Management & Visualisation
International Institute of Information Technology Bhubaneswar, India (Aug 2018 β Jun 2022)
Key coursework: Data Mining, Artificial Intelligence, Cryptography and Information Security, Design & Analysis of Algorithm