Hemanth murali K

Electronics Engineer and AI Practitioner

Bangalore, India 0+ yrs exp 81 · Excellent

About

Electronics Engineer and AI Practitioner with experience analyzing, validating, and managing data to support data-driven decision-making. Skilled in data collection, data cleaning, exploratory data analysis (EDA), reporting, performance tracking, and quantitative analysis using Python, Pandas, NumPy, SQL, and Excel. Proven ability to identify trends, ensure data accuracy, develop analytical reports, and communicate insights through structured problem-solving.

Skills & Expertise (29)

Pandas Intermediate

6.4/10

0.5

Years Exp

NumPy Intermediate

6.4/10

0.5

Years Exp

Python Intermediate

6.4/10

0.5

Years Exp

SQL Intermediate

5.5/10

0.5

Years Exp

Data Validation Intermediate

5.5/10

0.5

Years Exp

Data Cleaning Intermediate

5.5/10

0.5

Years Exp

Data Accuracy Intermediate

5.5/10

0.5

Years Exp

Problem Solving Intermediate

5.0/10

0.5

Years Exp

Documentation Intermediate

5.0/10

0.5

Years Exp

Performance Analysis Beginner

4.5/10

0.5

Years Exp

Git Beginner

4.5/10

0.5

Years Exp

LINUX Beginner

4.5/10

0.5

Years Exp

OpenCV Beginner

4.5/10

0.5

Years Exp

scikit-learn Beginner

4.5/10

0.5

Years Exp

Root Cause Analysis Beginner

4.5/10

0.5

Years Exp

Trend Analysis Beginner

4.5/10

0.5

Years Exp

Statistical Analysis Beginner

4.5/10

0.5

Years Exp

Dashboarding Beginner

4.0/10

0.5

Years Exp

C++ Beginner

3.5/10

0.5

Years Exp

Embedded C Beginner

3.0/10

0.5

Years Exp

LangChain Beginner

3.0/10

0.5

Years Exp

Streamlit Beginner

3.0/10

0.5

Years Exp

ESP32 Beginner

3.0/10

0.5

Years Exp

Data Integrity Reporting Dataset Management EDA Excel Transfer Learning

Work Experience

AI Project Intern

iStudio Technologies

Oct 2025 - Mar 2026

Developed Python-based computer vision pipelines for industrial quality inspection, supporting validation and analysis of large image datasets used in model development. Built automated data preprocessing, cleaning, and quality assurance workflows using Pandas and NumPy, improving dataset consistency and reproducibility. Performed exploratory data analysis (EDA) and quantitative performance evaluation to identify trends, anomalies, and optimization opportunities. Investigated system behavior, monitored inference performance metrics, and conducted root-cause analysis to improve deployment reliability. Developed data processing, validation, and reporting workflows to improve data accuracy, reporting consistency, and operational efficiency.