Ganapathi Sai Abhishek Grandhe
Data Analyst • Bangalore • a*****************@gmail.com • +91*******230 • drivetube.ai/•••••
Career Objective
Data Analyst with 0 years of experience focused on Python, SQL, Power BI and DAX following an M.Tech in Artificial Intelligence & Data Science. Built end-to-end analytics solutions including interactive Power BI dashboards, KPI frameworks and data models using SQL and Microsoft Excel to convert raw transaction data into decision-ready insights. Implemented a real-time facial-recognition prototype using Python and OpenCV and conducted experimental model evaluation for academic ML work. Published research on reinforcement learning for adaptive traffic control demonstrating experimental design and evaluation. Managed code and version control with Git and GitHub and produced stakeholder artifacts using Google Sheets, Figma and MS Word. Comfortable translating business questions into repeatable pipelines, visualizations and validated ML components for production handoff.
Education
Alliance University
M.Tech in Artificial Intelligence & Data Science • Aug 2024 – Aug 2026
Amrita Vishwa Vidyapeetham University
B.Tech in Computer Science Engineering • Jun 2018 – Aug 2022
Sri Vaishnavi Abhyaas Junior College
Intermediate (MPC) • Jun 2016 – Apr 2018
Sri Chaitanya Techno School
SSC • Jun 2015 – Apr 2016
Technical Skills
Programming Language: Python,SQL
Frontend Technologies: HTML,CSS
Version Control & Development Tools: Git,GitHub
Data Warehousing: Data Modeling
Data Analysis & Visualization: Power BI,Microsoft Excel,DAX,Data Cleaning,Exploratory Data Analysis,Google Sheets
Machine Learning & AI: Reinforcement Learning,Classification,Model Evaluation
AI/ML Frameworks & Libraries: OpenCV
Design Tools: Figma
Project Management & Collaboration: MS Word
Projects
Retail Sales Performance Dashboard
Tools Used: Power BI, SQL, Microsoft Excel, DAX, Data Modeling, Data Cleaning, Exploratory Data Analysis, Figma, Google Sheets, MS Word, Git, GitHub
- Built an interactive Power BI dashboard to visualize retail sales across categories, regions and time periods using DAX measures.
- Modeled transactional data in SQL and Excel, designing star-schema tables and calculated columns for revenue, profit and average order value.
- Developed KPI definitions and month-over-month growth calculations using DAX to enable business users to spot trends quickly.
- Performed exploratory data analysis and data cleaning in Excel and SQL to resolve missing values and standardize product/category hierarchies.
- Managed code and version control using Git and GitHub to track PBIX and SQL transformation scripts.
Facial Recognition for Banking Transactions
Tools Used: Python, OpenCV, SQL, HTML, CSS, Classification, Model Evaluation, Git, GitHub
- Implemented a prototype for transaction authentication that performed facial matching using OpenCV and Python-based image processing.
- Engineered a face classification workflow to extract embeddings and match users for transaction authorization flows.
- Stored and queried user metadata and authentication logs using SQL to enable auditability and prototype validation.
- Evaluated matching performance and tuned thresholds as part of model evaluation to reduce false acceptance in the prototype.
- Delivered a simple HTML/CSS front end to demonstrate real-time capture and authentication interactions.
Food Donor Application
Tools Used: Python, SQL, HTML, CSS, Git, GitHub
- Developed an application to connect food donors and recipients using Python for backend coordination and routing logic.
- Designed SQL schemas to manage donors, recipients, pickup schedules and location metadata to enable matching and tracking.
- Implemented location mapping and collection coordination features and exposed endpoints consumed by a basic HTML/CSS frontend.
- Documented API endpoints and data model for handoff and future integration with mapping services.
- Managed source code and deployment scripts in Git and GitHub to maintain versioned releases.
Reinforcement Learning for Dynamic Traffic Signal Control (Publication)
Tools Used: Reinforcement Learning, Python, Model Evaluation
- Authored and published research on applying reinforcement learning to adaptive traffic signal control for congestion reduction.
- Designed the RL environment and reward structure and implemented training loops in Python for policy optimization.
- Conducted model evaluation experiments to compare learned policies against fixed-timing baselines and reported performance trade-offs.
Certifications
Google Cloud Certified Associate Data Practitioner — Google
Oracle AI Foundations Associate — Oracle
Oracle Generative AI Professional — Oracle
Oracle Data Science Professional — Oracle
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