Krunal Jane

Data Analyst

At post Ashti, Ta Ashti, Dist Wardha., 442202, Maharashtra, INDIA.

About

Highly motivated and detail-oriented Data Analyst with a strong foundation in data analysis, visualization, and automation. Proficient in SQL, Python, and various BI tools. Experienced in leveraging AI tools like Gemini, Copilot, ChatGPT, and Claude AI to enhance data analysis and reporting. Skilled in building ETL pipelines, developing dashboards, and extracting actionable insights from data. Seeking an entry-level opportunity to apply analytical and technical skills to solve real-world business challenges.

Work

Delphi Analytics (SDSM Analytics Pvt. Ltd.)

|

Data Analyst

→

Internship

Summary

I completed a 6-month Data Analyst internship at a startup company, where I worked with various data tools and technologies. My responsibilities included: ETL and workflow automation: Designed and monitored ETL processes using Apache Airflow, including scheduling and managing DAGs to automate and optimize data pipelines. Data visualization: Created insightful dashboards using Apache Superset and Grafana to support decision-making. Database interaction: Queried and analyzed data using PostgreSQL in DBeaver. Programming: Utilized Python for scripting and analysis. This internship enhanced my practical skills in data analysis, ETL workflows, and dashboard creation within a real-world business environment.

Highlights

Developed and optimized ETL pipelines using SQL and Python, significantly improving data processing efficiency.

Designed and implemented interactive dashboards in Apache Superset and Grafana, including setting up alerts in Grafana to monitor key metrics.

Automated data synchronization and orchestration using Apache Airflow and Python, streamlining data workflows.

Contributed to the dashboard and database migration process, including developing data validation scripts and testing migrated dashboards, ensuring data integrity and accuracy.

Education

G H Raisoni Institute of Engineering and Technology, Nagpur

→
B.Tech Artificial Intelligence Grade: 7.69

Certificates

PwC Switzerland Power BI Job Simulation

Forage

Tata Data Visualization: Empowering Business with Effective Insights

Forage

Career Essentials in Generative AI

Microsoft & LinkedIn

Accenture North America Data Analytics and Visualization Job Simulation

Forage

Skills

Programming & Data Analysis

Python (Pandas, NumPy, Matplotlib, TensorFlow), SQL, PostgreSQL, ETL Pipelines.

Data Visualization & BI Tools

Power BI, Apache Superset, Grafana.

AI Tools

Gemini, Copilot, ChatGPT, Claude AI.

Data Engineering & Automation

Apache Airflow (DAGs, Task Scheduling, Orchestration).

Others

Data Cleaning, Data Analysis.

Projects

GANs for Medical Imaging: Synthesizing Realistic Images for Analysis

College Project

Summary

This project focused on generating synthetic medical images using DCGAN, a type of Generative Adversarial Network specialized in image generation. The primary goal was to address data scarcity in the medical domain by producing realistic medical images that could augment existing datasets. The model was trained on limited medical image data, which posed challenges like slow training, low-quality outputs in early epochs, and frequent timeouts due to resource constraints. Over time, image clarity and realism improved with more training epochs. Despite hardware and data limitations, the project demonstrated the potential of GANs in medical image synthesis for research and augmentation purposes.