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Apurba Adhikari

@apurbaadhikari

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Aspiring data analyst and software engineer with strong technical skills.

Zimbabwe

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What I'm looking for

I seek a dynamic organization that values innovation and offers growth opportunities.

I am a passionate data analyst and software engineer with over a year of experience in data analysis, database development, and data engineering. My expertise lies in SQL, Python, and Azure DevOps, where I have successfully managed projects like Kinetic, overseeing data refinement and ETL processes. I thrive on optimizing database performance and creating interactive Power BI dashboards that provide strategic insights for business decisions.

Throughout my career, I have demonstrated a strong commitment to quality and accuracy in data management. I have conducted extensive testing and quality assurance for database systems, ensuring high-quality analysis and performance. My academic background in Data Science and Mathematics has equipped me with a solid foundation in data manipulation, machine learning, and advanced analytical techniques, which I am eager to apply in innovative projects.

Experience

Work history, roles, and key accomplishments

Data Analyst / Software Engineer

Injala

Jun 2023 - Oct 2024 (1 year 4 months)

Managed the Kinetic project end-to-end, overseeing data refinement and ETL processes. Developed and optimized database structures for the Wrap Portal, enhancing performance. Created interactive Power BI dashboards for strategic data visualization and business insights.

SQL Python ETL Azure DevOps Power BI Data Visualization Database Optimization Data Analysis Machine Learning

Data Analyst Intern

KPMG

Apr 2023 - Jun 2023 (2 months)

Assessed data quality and completeness in preparation for analysis. Targeted high-value customers based on demographics and attributes, using visualizations to present insights effectively.

SQL Data Warehousing Data Analysis Data Visualization Customer Segmentation Data Quality Power BI Project Management

Machine Learning Project

Self-Directed

Aug 2022 - Apr 2023 (8 months)

Developed machine learning models for plant leaf disease detection, achieving high accuracy rates. Collected and analyzed over 4,000 plant leaf images and soil sensor data.

Machine Learning Deep Learning Data Collection Data Analysis Python ANN Data Visualization Model Training

Traffic Flow Prediction Project

Self-Directed

Feb 2022 - Jul 2022 (5 months)

Utilized time series analysis to predict traffic patterns using various machine learning models. Developed and trained models to forecast high-traffic areas effectively.

Python Machine Learning Time Series Analysis Decision Trees Data Analysis

Database Design Project

Self-Directed

Aug 2021 - Jan 2022 (5 months)

Designed a relational schema and entity relationship diagram for an insurance company database. Optimized complex queries for data retrieval and processing.

PostgreSQL Database Design Query Optimization Data Processing