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AI Engineer with less than a year in data analysis and computer vision.
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Apurva Kuntala is an AI/ML Intern with 8 months of experience, specializing in data analysis, visualization, and machine learning models. Possessing strong skills in Python, SQL, and Power BI, Apurva has successfully contributed to projects involving audience measurement, data preprocessing, and object detection, leveraging tools like YOLOv8. Her academic background in Computer Engineering and notable achievements in coding competitions demonstrate a robust technical foundation and a passion for data-driven solutions.
PES Modern College of Engineering
B.E. · Computer Engineering
August 1, 2022 – June 30, 2025
Government Polytechnic Ahmednagar
Diploma · Computer Engineering
August 1, 2019 – June 30, 2022
Inditronics Pvt Ltd
AI/ML Intern
July 1, 2025 – February 1, 2026
Pune, Maharashtra, India
Sales Performance Analysis Dashboard
June 1, 2025 – June 1, 2026
Developed an end-to-end Sales Analytics Dashboard that transformed raw sales data into actionable insights, enabling management to monitor revenue, profitability, customer trends, and regional performance. Leveraged SQL, Python, and Power BI to automate reporting, optimize data analysis workflows, and support data-driven strategic decision-making.
HR Analytics And Employee Performance Dashboard
June 1, 2025 – June 1, 2026
Designed an interactive HR Analytics Dashboard to track employee performance, attendance, attrition, and workforce KPIs, enabling data-driven HR decision-making. Utilized SQL and Power BI to analyze workforce trends, identify retention risks, and deliver actionable insights for employee engagement and organizational planning.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying data analysis to business problems (sales, HR), which aligns with practical, impact-driven roles. The internship in AI/ML shows a clear career direction towards the target role. The breadth of skills (Python, SQL, Power BI, ML frameworks) and academic achievements suggest a strong learning aptitude and a drive for excellence, which would generally fit well within a technically demanding and innovative culture.
Soft Skills & Operational Fit
The candidate's project descriptions and achievements suggest a proactive and results-oriented individual. The focus on automating data pipelines and improving efficiency indicates an operational mindset. Participation in competitions and project work implies teamwork and problem-solving skills, though direct evidence of stress handling or team collaboration is not explicitly detailed in the provided data.