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AI Trainer and Data Analyst with 4+ years in Data Analytics & Machine Learning
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Apurva Potdar is an AI Trainer and Data Analyst with a Master's in Data Science & Analytics. She possesses strong skills in SQL, Python, Power BI, and Advanced Excel, coupled with a deep understanding of data cleaning, EDA, and KPI reporting. Her experience spans technical engineering, sales operations, and AI data annotation, with notable projects in AI-powered business assistance, sales analytics, and HR data analysis, demonstrating her ability to leverage data for business insights and build machine learning models.
IT Vedant Institute
Master's in Data Science & Analytics with AI
August 1, 2025 – June 30, 2025
KIT's College of Engineering
Bachelor of Engineering · Mechanical
August 1, 2014 – June 30, 2017
Innodaata
AI Trainer & Data Annotator
January 1, 2026 – Present
India
Ace Design
Sales Operations & Business Development
April 1, 2023 – December 1, 2024
India
Kaarmik Steel
Senior Engineer
June 1, 2017 – March 1, 2023
India
Vyapar AI – AI-Powered Business Assistant
June 21, 2026 – Present
Built solo in 5 days for OpenAI x Outskill Hackathon helps Indian SMBs track payments, get overdue reminders, and receive AI-generated weekly business summaries via WhatsApp. Identified problem firsthand from Ace Design and a relative's trading business. Zero prior coding experience built entirely using AI tools.
View ProjectEmployee HR Data Analysis
June 21, 2026 – Present
Wrote 25+ SQL queries JOINs, CTEs, subqueries, window functions, generating department salary, top earner, and performance band reports.
View ProjectFlight Price Prediction & Employee Attrition
June 21, 2026 – Present
Built regression and classification ML models achieving up to 85% accuracy; conducted EDA using Matplotlib and Seaborn.
View ProjectSuperstore Sales Analytics Dashboard
June 21, 2026 – Present
Analysed $13M sales across 51,290 orders and 147 countries; identified Southeast Asia Furniture at -2% profit margin and Central region as top contributor at $0.31M. Built KPI cards using SUM, DISTINCTCOUNT, DIVIDE DAX functions.
View ProjectSQL for Data Analysis
Udemy
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte/Forage
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for learning and self-improvement, transitioning from a mechanical engineering background to data science and AI. The diverse project portfolio, including a hackathon project and various data analysis tasks, indicates curiosity and a willingness to tackle different challenges. The current role as an AI Trainer & Data Annotator aligns well with the target role, suggesting a genuine interest in the field. However, the overall experience is relatively nascent in the AI/Data Science domain, which might require a team that supports continuous learning and mentorship.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and attention to detail through their project work and professional experience. The ability to identify a business problem and build a solution (Vyapar AI) indicates initiative and a practical mindset. Experience in sales operations suggests an understanding of business metrics and stakeholder communication, which are valuable for an AI Trainer role that often involves explaining complex concepts or evaluating model outputs.